From e99ba70a84830d85a28270c0b3ab90524af4263a Mon Sep 17 00:00:00 2001
From: Antonio <antonio@maiolo.net>
Date: Fri, 23 Jan 2026 11:07:13 +0100
Subject: [PATCH] feat(app): add media memory support for voice memos, audio,
 and video

- Add voice memo recording from system tray and main app
- Add audio file upload with drag-and-drop support (mp3, wav, m4a, webm, ogg, flac)
- Add video file upload with FFmpeg audio extraction and thumbnail generation
- Add local AI transcription using faster-whisper with timestamp segments
- Add new memory card components for voice memos, audio, and video
- Add transcription settings for Whisper model selection
- Add file size limits (100MB audio, 500MB video) and input validation
- Add proper cleanup and timeout handling to prevent memory leaks and hangs
---
 .changeset/media-memory-feature.md        |  13 +
 .gitignore                                |   5 +-
 app/electron/main.js                      |  92 ++-
 app/electron/preload.js                   |  16 +
 app/electron/tray.js                      | 191 +++++
 app/electron/video-processor.js           | 369 +++++++++
 app/package.json                          |  10 +
 app/public/icons/tray-iconTemplate.png    | Bin 0 -> 582 bytes
 app/public/icons/tray-iconTemplate@2x.png | Bin 0 -> 1503 bytes
 app/src/App.tsx                           |  40 +-
 app/src/SetupWizard.tsx                   |  24 -
 app/src/components/AudioCard.tsx          | 257 ++++++
 app/src/components/AudioDropOverlay.tsx   | 235 ++++++
 app/src/components/MemoryDetailPanel.tsx  | 914 +++++++++++++++++++++-
 app/src/components/VideoCard.tsx          | 309 ++++++++
 app/src/components/VoiceMemoCard.tsx      | 252 ++++++
 app/src/global.d.ts                       |  42 +
 app/src/hooks/useVideoUpload.ts           | 229 ++++++
 app/src/lib/ffmpeg.ts                     |  97 +++
 app/src/pages/HomePage.tsx                | 279 +++++--
 app/src/pages/MemoriesPage.tsx            | 475 +++++++++--
 app/src/pages/RecordingPage.tsx           | 299 +++++++
 app/src/types/chat.ts                     |  35 +-
 backend/app/db/crud.py                    | 450 ++++++++++-
 backend/app/db/migrations.py              |  46 ++
 backend/app/main.py                       |  34 +
 backend/app/models.py                     |  22 +-
 backend/app/routes/__init__.py            |   4 +
 backend/app/routes/auth.py                |  14 +
 backend/app/routes/media.py               | 279 +++++++
 backend/app/routes/settings.py            |  55 ++
 backend/app/routes/video.py               | 409 ++++++++++
 backend/app/services/ai_processing.py     | 195 +++++
 backend/app/services/audio_storage.py     | 180 +++++
 backend/app/services/audio_utils.py       | 136 ++++
 backend/app/services/transcription.py     | 204 +++++
 backend/app/services/video_storage.py     | 272 +++++++
 backend/pyproject.toml                    |   5 +
 package.json                              |   3 +
 pnpm-lock.yaml                            | 344 ++++++++
 pnpm-workspace.yaml                       |   1 +
 screenshot.png                            | Bin 578724 -> 474196 bytes
 42 files changed, 6674 insertions(+), 162 deletions(-)
 create mode 100644 .changeset/media-memory-feature.md
 create mode 100644 app/electron/tray.js
 create mode 100644 app/electron/video-processor.js
 create mode 100644 app/public/icons/tray-iconTemplate.png
 create mode 100644 app/public/icons/tray-iconTemplate@2x.png
 create mode 100644 app/src/components/AudioCard.tsx
 create mode 100644 app/src/components/AudioDropOverlay.tsx
 create mode 100644 app/src/components/VideoCard.tsx
 create mode 100644 app/src/components/VoiceMemoCard.tsx
 create mode 100644 app/src/global.d.ts
 create mode 100644 app/src/hooks/useVideoUpload.ts
 create mode 100644 app/src/lib/ffmpeg.ts
 create mode 100644 app/src/pages/RecordingPage.tsx
 create mode 100644 backend/app/routes/media.py
 create mode 100644 backend/app/routes/video.py
 create mode 100644 backend/app/services/audio_storage.py
 create mode 100644 backend/app/services/audio_utils.py
 create mode 100644 backend/app/services/transcription.py
 create mode 100644 backend/app/services/video_storage.py

diff --git a/.changeset/media-memory-feature.md b/.changeset/media-memory-feature.md
new file mode 100644
index 0000000..41cda17
--- /dev/null
+++ b/.changeset/media-memory-feature.md
@@ -0,0 +1,13 @@
+---
+"think-app": minor
+---
+
+feat(app): add media memory support for voice memos, audio, and video
+
+- Add voice memo recording from system tray and main app
+- Add audio file upload with drag-and-drop support
+- Add video file upload with FFmpeg audio extraction and thumbnail generation
+- Add local AI transcription using faster-whisper with timestamp segments
+- Add new memory card components for voice memos, audio, and video
+- Add transcription settings for Whisper model selection
+- Add file size limits and input validation for security
diff --git a/.gitignore b/.gitignore
index cb68b61..70bcda6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -39,4 +39,7 @@ release/
 extension/extension.pem
 
 # Compiled native messaging stub
-backend/native_host/think-native-stub
\ No newline at end of file
+backend/native_host/think-native-stub
+
+# FFmpeg (downloaded on first use, cached locally)
+app/public/ffmpeg/
\ No newline at end of file
diff --git a/app/electron/main.js b/app/electron/main.js
index 242f459..31bed15 100644
--- a/app/electron/main.js
+++ b/app/electron/main.js
@@ -6,6 +6,8 @@ const path = require('path');
 const fs = require('fs');
 const https = require('https');
 const { installNativeHost } = require('./install-native-host');
+const { createTray, destroyTray, closeRecordingWindow } = require('./tray');
+const videoProcessor = require('./video-processor');
 
 /**
  * Download a file with progress reporting.
@@ -295,7 +297,7 @@ function createWindow() {
     webPreferences: {
       preload: path.join(__dirname, 'preload.js'),
       contextIsolation: true,
-      nodeIntegration: false
+      nodeIntegration: false,
     }
   });
 
@@ -357,6 +359,10 @@ app.whenReady().then(async () => {
     if (mainWindow && !mainWindow.isDestroyed()) {
       mainWindow.webContents.send('backend-ready', { token: APP_TOKEN });
     }
+
+    // Initialize system tray after backend is ready
+    const isDev = process.env.NODE_ENV === 'development' || !app.isPackaged;
+    createTray(mainWindow, APP_TOKEN, isDev);
   } catch (err) {
     console.error('Backend startup failed:', err);
     if (mainWindow && !mainWindow.isDestroyed()) {
@@ -374,6 +380,8 @@ app.on('window-all-closed', () => {
 });
 
 app.on('before-quit', () => {
+  closeRecordingWindow();
+  destroyTray();
   if (pythonProcess) {
     pythonProcess.kill();
   }
@@ -549,3 +557,85 @@ ipcMain.handle('pull-model', async (_event, modelName) => {
 ipcMain.handle('install-update', () => {
   autoUpdater.quitAndInstall();
 });
+
+// Open main window (called from recording popup when app is locked)
+ipcMain.handle('open-main-window', () => {
+  if (mainWindow && !mainWindow.isDestroyed()) {
+    mainWindow.show();
+    mainWindow.focus();
+  } else {
+    // No window exists - create one
+    createWindow();
+    if (backendReady && mainWindow) {
+      mainWindow.webContents.once('did-finish-load', () => {
+        mainWindow.webContents.send('backend-ready', { token: APP_TOKEN });
+      });
+    }
+  }
+});
+
+// Open recording window (called from renderer to start voice recording)
+ipcMain.handle('open-recording-window', () => {
+  const { openRecordingWindow } = require('./tray.js');
+  const isDev = process.env.NODE_ENV === 'development' || !app.isPackaged;
+  openRecordingWindow(mainWindow, APP_TOKEN, isDev);
+});
+
+// Video processing IPC handlers
+
+// Write video data to a temporary file for FFmpeg processing
+ipcMain.handle('write-temp-file', async (_event, data, filename) => {
+  try {
+    const buffer = Buffer.from(data);
+    const tempPath = await videoProcessor.writeTempFile(buffer, filename);
+    return { success: true, path: tempPath };
+  } catch (error) {
+    console.error('[IPC] write-temp-file error:', error);
+    return { success: false, error: error.message };
+  }
+});
+
+// Process video: extract audio and generate thumbnail
+ipcMain.handle('process-video', async (event, videoPath) => {
+  try {
+    const result = await videoProcessor.processVideo(videoPath, (progress) => {
+      // Send progress updates to renderer
+      if (mainWindow && !mainWindow.isDestroyed()) {
+        event.sender.send('video-process-progress', progress);
+      }
+    });
+
+    // Read the audio and thumbnail files as buffers for upload
+    const audioBuffer = await videoProcessor.readFile(result.audioPath);
+    let thumbnailBuffer = null;
+    if (result.thumbnailPath) {
+      thumbnailBuffer = await videoProcessor.readFile(result.thumbnailPath);
+    }
+
+    // Clean up temp files (audio and thumbnail)
+    await videoProcessor.deleteTempFile(result.audioPath);
+    if (result.thumbnailPath) {
+      await videoProcessor.deleteTempFile(result.thumbnailPath);
+    }
+
+    return {
+      success: true,
+      audio: audioBuffer,
+      thumbnail: thumbnailBuffer,
+    };
+  } catch (error) {
+    console.error('[IPC] process-video error:', error);
+    return { success: false, error: error.message };
+  }
+});
+
+// Delete a temporary file
+ipcMain.handle('delete-temp-file', async (_event, filePath) => {
+  try {
+    await videoProcessor.deleteTempFile(filePath);
+    return { success: true };
+  } catch (error) {
+    console.error('[IPC] delete-temp-file error:', error);
+    return { success: false, error: error.message };
+  }
+});
diff --git a/app/electron/preload.js b/app/electron/preload.js
index 7357078..80a8759 100644
--- a/app/electron/preload.js
+++ b/app/electron/preload.js
@@ -46,4 +46,20 @@ contextBridge.exposeInMainWorld('electronAPI', {
     ipcRenderer.removeAllListeners('update-downloaded');
   },
   installUpdate: () => ipcRenderer.invoke('install-update'),
+  // Open main window (for recording popup to trigger unlock)
+  openMainWindow: () => ipcRenderer.invoke('open-main-window'),
+  // Open recording window (for voice memo from main app)
+  openRecordingWindow: () => ipcRenderer.invoke('open-recording-window'),
+  // Send recording state to main process (for blur handler)
+  setRecordingState: (isRecording) => ipcRenderer.send('recording-state-changed', isRecording),
+  // Video processing APIs (native FFmpeg)
+  writeTempFile: (data, filename) => ipcRenderer.invoke('write-temp-file', data, filename),
+  processVideo: (videoPath) => ipcRenderer.invoke('process-video', videoPath),
+  deleteTempFile: (path) => ipcRenderer.invoke('delete-temp-file', path),
+  onVideoProcessProgress: (callback) => {
+    ipcRenderer.on('video-process-progress', (_, data) => callback(data));
+  },
+  removeVideoProcessListeners: () => {
+    ipcRenderer.removeAllListeners('video-process-progress');
+  },
 });
diff --git a/app/electron/tray.js b/app/electron/tray.js
new file mode 100644
index 0000000..d0e3d1c
--- /dev/null
+++ b/app/electron/tray.js
@@ -0,0 +1,191 @@
+const { Tray, Menu, BrowserWindow, nativeImage, app, ipcMain } = require('electron');
+const path = require('path');
+
+let tray = null;
+let recordingWindow = null;
+let isRecording = false;
+
+// Listen for recording state changes from renderer
+ipcMain.on('recording-state-changed', (event, recording) => {
+  isRecording = recording;
+});
+
+/**
+ * Create the system tray with context menu
+ */
+function createTray(mainWindow, appToken, isDev) {
+  let icon;
+
+  try {
+    if (process.platform === 'darwin') {
+      // macOS: use template icon (auto-adapts to light/dark menu bar)
+      const templatePath = path.join(__dirname, '../public/icons/tray-iconTemplate.png');
+      icon = nativeImage.createFromPath(templatePath);
+      icon.setTemplateImage(true);
+    } else {
+      // Windows/Linux: use colored icon at 32x32
+      const iconPath = path.join(__dirname, '../public/icons/think-os-agent.png');
+      icon = nativeImage.createFromPath(iconPath).resize({ width: 32, height: 32 });
+    }
+  } catch (err) {
+    console.error('Failed to load tray icon:', err);
+    icon = nativeImage.createEmpty();
+  }
+
+  tray = new Tray(icon);
+
+  const isMac = process.platform === 'darwin';
+
+  const contextMenu = Menu.buildFromTemplate([
+    {
+      label: 'Record Voice Note',
+      accelerator: isMac ? 'Cmd+Shift+R' : 'Ctrl+Shift+R',
+      click: () => openRecordingWindow(mainWindow, appToken, isDev),
+    },
+    {
+      label: 'Open Think',
+      accelerator: isMac ? 'Cmd+O' : 'Ctrl+O',
+      click: () => {
+        const win = BrowserWindow.getAllWindows().find(w => w !== recordingWindow);
+        if (win) {
+          win.show();
+          win.focus();
+        } else {
+          app.emit('activate');
+        }
+      },
+    },
+    { type: 'separator' },
+    {
+      label: isMac ? 'Quit Think' : 'Exit',
+      accelerator: isMac ? 'Cmd+Q' : undefined,
+      click: () => app.quit(),
+    },
+  ]);
+
+  tray.setToolTip('Think');
+  tray.setContextMenu(contextMenu);
+
+  // On macOS, clicking the tray icon opens the context menu
+  // On Windows, single-click opens recording, double-click opens app
+  if (process.platform !== 'darwin') {
+    tray.on('click', () => openRecordingWindow(mainWindow, appToken, isDev));
+    tray.on('double-click', () => {
+      const win = BrowserWindow.getAllWindows().find(w => w !== recordingWindow);
+      if (win) {
+        win.show();
+        win.focus();
+      } else {
+        app.emit('activate');
+      }
+    });
+  }
+}
+
+/**
+ * Open the compact recording popup window
+ */
+function openRecordingWindow(mainWindow, appToken, isDev) {
+  // If recording window already exists and is visible, focus it
+  if (recordingWindow && !recordingWindow.isDestroyed()) {
+    recordingWindow.focus();
+    return;
+  }
+
+  // Get the position for the popup (near tray on macOS, center on Windows)
+  let x, y;
+  if (tray) {
+    const trayBounds = tray.getBounds();
+    const windowWidth = 320;
+    const windowHeight = 240;
+
+    if (process.platform === 'darwin') {
+      // Position below the tray icon on macOS
+      x = Math.round(trayBounds.x + (trayBounds.width / 2) - (windowWidth / 2));
+      y = Math.round(trayBounds.y + trayBounds.height + 4);
+    } else {
+      // Position above the tray icon on Windows (taskbar is at bottom)
+      x = Math.round(trayBounds.x + (trayBounds.width / 2) - (windowWidth / 2));
+      y = Math.round(trayBounds.y - windowHeight - 4);
+    }
+  }
+
+  recordingWindow = new BrowserWindow({
+    width: 320,
+    height: 240,
+    x,
+    y,
+    frame: false,
+    transparent: false,
+    backgroundColor: '#1c1c1e',
+    resizable: false,
+    skipTaskbar: true,
+    alwaysOnTop: true,
+    webPreferences: {
+      preload: path.join(__dirname, 'preload.js'),
+      contextIsolation: true,
+      nodeIntegration: false,
+    },
+  });
+
+  // Load the recording page
+  if (isDev) {
+    recordingWindow.loadURL('http://localhost:5173/#/recording');
+  } else {
+    recordingWindow.loadFile(path.join(__dirname, '../dist/index.html'), {
+      hash: '/recording',
+    });
+  }
+
+  // Send the app token to the recording window once loaded
+  recordingWindow.webContents.once('did-finish-load', () => {
+    if (appToken) {
+      recordingWindow.webContents.send('backend-ready', { token: appToken });
+    }
+  });
+
+  // Close when clicking outside (blur event)
+  recordingWindow.on('blur', () => {
+    // Small delay to allow for click handling
+    setTimeout(() => {
+      if (recordingWindow && !recordingWindow.isDestroyed()) {
+        // Don't close if user is actively recording (state tracked via IPC)
+        if (!isRecording) {
+          recordingWindow.close();
+        }
+      }
+    }, 100);
+  });
+
+  recordingWindow.on('closed', () => {
+    recordingWindow = null;
+    isRecording = false; // Reset state when window closes
+  });
+}
+
+/**
+ * Close the recording window
+ */
+function closeRecordingWindow() {
+  if (recordingWindow && !recordingWindow.isDestroyed()) {
+    recordingWindow.close();
+    recordingWindow = null;
+  }
+}
+
+/**
+ * Destroy the tray icon
+ */
+function destroyTray() {
+  if (tray) {
+    tray.destroy();
+    tray = null;
+  }
+}
+
+module.exports = {
+  createTray,
+  openRecordingWindow,
+  closeRecordingWindow,
+  destroyTray,
+};
diff --git a/app/electron/video-processor.js b/app/electron/video-processor.js
new file mode 100644
index 0000000..99e78d9
--- /dev/null
+++ b/app/electron/video-processor.js
@@ -0,0 +1,369 @@
+const { spawn } = require('child_process');
+const path = require('path');
+const fs = require('fs');
+const os = require('os');
+const { app } = require('electron');
+
+// Default timeout for FFmpeg operations (5 minutes)
+const FFMPEG_TIMEOUT_MS = 5 * 60 * 1000;
+
+/**
+ * Validate that a video path is safe for processing.
+ * Prevents path traversal and ensures the file exists within allowed directories.
+ *
+ * @param {string} videoPath - Path to validate
+ * @returns {{ valid: boolean, error?: string }} - Validation result
+ */
+function validateVideoPath(videoPath) {
+  if (!videoPath || typeof videoPath !== 'string') {
+    return { valid: false, error: 'Invalid video path' };
+  }
+
+  // Resolve to absolute path
+  const absolutePath = path.resolve(videoPath);
+
+  // Check that the path exists
+  if (!fs.existsSync(absolutePath)) {
+    return { valid: false, error: 'Video file does not exist' };
+  }
+
+  // Check that it's a file (not a directory or symlink to directory)
+  const stats = fs.lstatSync(absolutePath);
+  if (!stats.isFile()) {
+    return { valid: false, error: 'Path is not a file' };
+  }
+
+  // Get allowed directories (temp and user downloads)
+  const tempDir = app.getPath('temp');
+  const downloadsDir = app.getPath('downloads');
+  const homeDir = app.getPath('home');
+
+  // Use realpathSync to resolve symlinks (important for macOS where /var -> /private/var)
+  const realPath = fs.realpathSync(absolutePath);
+  const realTemp = fs.realpathSync(tempDir);
+  const realDownloads = fs.realpathSync(downloadsDir);
+  const realHome = fs.realpathSync(homeDir);
+
+  // Allow files from temp directory, downloads, or anywhere under home directory
+  const isInAllowedDir =
+    realPath.startsWith(realTemp + path.sep) ||
+    realPath.startsWith(realDownloads + path.sep) ||
+    realPath.startsWith(realHome + path.sep);
+
+  if (!isInAllowedDir) {
+    return { valid: false, error: 'Video file is outside allowed directories' };
+  }
+
+  return { valid: true };
+}
+
+/**
+ * Get the path to the FFmpeg binary.
+ * In development, uses ffmpeg-static from node_modules.
+ * In production, uses the bundled binary in resources.
+ */
+function getFFmpegPath() {
+  const platform = process.platform;
+  const ext = platform === 'win32' ? '.exe' : '';
+
+  if (app.isPackaged) {
+    // Production: bundled binary
+    return path.join(process.resourcesPath, 'ffmpeg', `ffmpeg${ext}`);
+  } else {
+    // Development: use ffmpeg-static package
+    try {
+      const ffmpegStatic = require('ffmpeg-static');
+      return ffmpegStatic;
+    } catch {
+      // Fallback: system ffmpeg
+      return 'ffmpeg';
+    }
+  }
+}
+
+/**
+ * Parse FFmpeg progress from stderr output.
+ * Extracts time progress like "time=00:00:05.00"
+ *
+ * @param {string} stderr - FFmpeg stderr output chunk
+ * @param {number} duration - Total duration in seconds
+ * @returns {number|null} - Progress 0-100 or null if not parseable
+ */
+function parseProgress(stderr, duration) {
+  if (!duration || duration <= 0) return null;
+
+  const timeMatch = stderr.match(/time=(\d{2}):(\d{2}):(\d{2})\.(\d{2})/);
+  if (timeMatch) {
+    const hours = parseInt(timeMatch[1], 10);
+    const minutes = parseInt(timeMatch[2], 10);
+    const seconds = parseInt(timeMatch[3], 10);
+    const centiseconds = parseInt(timeMatch[4], 10);
+    const currentTime = hours * 3600 + minutes * 60 + seconds + centiseconds / 100;
+    return Math.min(100, Math.round((currentTime / duration) * 100));
+  }
+  return null;
+}
+
+/**
+ * Get the duration of a video file using FFmpeg.
+ *
+ * @param {string} videoPath - Path to the video file (must be validated first)
+ * @returns {Promise<number>} - Duration in seconds
+ */
+function getVideoDuration(videoPath) {
+  return new Promise((resolve, reject) => {
+    const ffmpegPath = getFFmpegPath();
+    const args = ['-i', videoPath, '-f', 'null', '-'];
+
+    const ffmpeg = spawn(ffmpegPath, args);
+    let stderr = '';
+    let killed = false;
+
+    // Set timeout for duration extraction (30 seconds should be enough)
+    const timeout = setTimeout(() => {
+      killed = true;
+      ffmpeg.kill('SIGKILL');
+      console.warn('[VideoProcessor] Duration extraction timed out');
+      resolve(0);
+    }, 30000);
+
+    ffmpeg.stderr.on('data', (data) => {
+      stderr += data.toString();
+    });
+
+    ffmpeg.on('close', () => {
+      clearTimeout(timeout);
+      if (killed) return;
+
+      // Parse duration from output like "Duration: 00:01:30.50"
+      const match = stderr.match(/Duration: (\d{2}):(\d{2}):(\d{2})\.(\d{2})/);
+      if (match) {
+        const hours = parseInt(match[1], 10);
+        const minutes = parseInt(match[2], 10);
+        const seconds = parseInt(match[3], 10);
+        const centiseconds = parseInt(match[4], 10);
+        resolve(hours * 3600 + minutes * 60 + seconds + centiseconds / 100);
+      } else {
+        // If duration parsing fails, use a default (will affect progress accuracy)
+        console.warn('[VideoProcessor] Could not parse video duration');
+        resolve(0);
+      }
+    });
+
+    ffmpeg.on('error', (err) => {
+      clearTimeout(timeout);
+      reject(err);
+    });
+  });
+}
+
+/**
+ * Extract audio from a video file.
+ *
+ * @param {string} videoPath - Path to the input video file (must be validated first)
+ * @param {function} onProgress - Progress callback (0-100)
+ * @returns {Promise<string>} - Path to the extracted audio file (m4a)
+ */
+async function extractAudio(videoPath, onProgress) {
+  const ffmpegPath = getFFmpegPath();
+  const outputPath = videoPath.replace(/\.[^.]+$/, '') + '_audio.m4a';
+
+  // Get duration for progress calculation
+  const duration = await getVideoDuration(videoPath);
+
+  return new Promise((resolve, reject) => {
+    const args = [
+      '-i', videoPath,
+      '-vn',                  // No video
+      '-acodec', 'aac',       // AAC codec
+      '-b:a', '128k',         // 128kbps bitrate
+      '-y',                   // Overwrite output
+      outputPath
+    ];
+
+    console.log('[VideoProcessor] Extracting audio:', ffmpegPath, args.join(' '));
+    const ffmpeg = spawn(ffmpegPath, args);
+    let killed = false;
+
+    // Set timeout (5 minutes for audio extraction)
+    const timeout = setTimeout(() => {
+      killed = true;
+      ffmpeg.kill('SIGKILL');
+      reject(new Error('Audio extraction timed out'));
+    }, FFMPEG_TIMEOUT_MS);
+
+    ffmpeg.stderr.on('data', (data) => {
+      const stderr = data.toString();
+      const progress = parseProgress(stderr, duration);
+      if (progress !== null && onProgress) {
+        onProgress(progress);
+      }
+    });
+
+    ffmpeg.on('close', (code) => {
+      clearTimeout(timeout);
+      if (killed) return;
+
+      if (code === 0) {
+        console.log('[VideoProcessor] Audio extraction complete:', outputPath);
+        resolve(outputPath);
+      } else {
+        reject(new Error(`FFmpeg exited with code ${code}`));
+      }
+    });
+
+    ffmpeg.on('error', (err) => {
+      clearTimeout(timeout);
+      console.error('[VideoProcessor] FFmpeg error:', err);
+      reject(err);
+    });
+  });
+}
+
+/**
+ * Generate a thumbnail from a video file.
+ *
+ * @param {string} videoPath - Path to the input video file (must be validated first)
+ * @param {number} timestamp - Timestamp in seconds (default: 1)
+ * @returns {Promise<string|null>} - Path to the thumbnail file (jpg) or null on failure
+ */
+function generateThumbnail(videoPath, timestamp = 1) {
+  const ffmpegPath = getFFmpegPath();
+  const outputPath = videoPath.replace(/\.[^.]+$/, '') + '_thumb.jpg';
+
+  return new Promise((resolve) => {
+    const args = [
+      '-ss', String(timestamp), // Seek to timestamp
+      '-i', videoPath,
+      '-frames:v', '1',         // Single frame
+      '-q:v', '2',              // High quality JPEG
+      '-y',                     // Overwrite output
+      outputPath
+    ];
+
+    console.log('[VideoProcessor] Generating thumbnail:', ffmpegPath, args.join(' '));
+    const ffmpeg = spawn(ffmpegPath, args);
+    let killed = false;
+
+    // Set timeout (30 seconds for thumbnail generation)
+    const timeout = setTimeout(() => {
+      killed = true;
+      ffmpeg.kill('SIGKILL');
+      console.warn('[VideoProcessor] Thumbnail generation timed out');
+      resolve(null);
+    }, 30000);
+
+    ffmpeg.on('close', (code) => {
+      clearTimeout(timeout);
+      if (killed) return;
+
+      if (code === 0) {
+        console.log('[VideoProcessor] Thumbnail generation complete:', outputPath);
+        resolve(outputPath);
+      } else {
+        // Thumbnail failure is non-critical, resolve with null
+        console.warn('[VideoProcessor] Thumbnail generation failed, code:', code);
+        resolve(null);
+      }
+    });
+
+    ffmpeg.on('error', (err) => {
+      clearTimeout(timeout);
+      console.warn('[VideoProcessor] FFmpeg thumbnail error:', err);
+      // Non-critical, resolve with null
+      resolve(null);
+    });
+  });
+}
+
+/**
+ * Process a video file: extract audio and generate thumbnail.
+ *
+ * @param {string} videoPath - Path to the video file
+ * @param {function} onProgress - Progress callback ({ progress: 0-100, stage: string })
+ * @returns {Promise<{ audioPath: string, thumbnailPath: string|null }>}
+ */
+async function processVideo(videoPath, onProgress) {
+  console.log('[VideoProcessor] Processing video:', videoPath);
+
+  // Validate the video path before processing
+  const validation = validateVideoPath(videoPath);
+  if (!validation.valid) {
+    throw new Error(validation.error || 'Invalid video path');
+  }
+
+  // Stage 1: Extract audio (0-80%)
+  onProgress?.({ progress: 0, stage: 'extracting_audio' });
+  const audioPath = await extractAudio(videoPath, (p) => {
+    onProgress?.({ progress: Math.round(p * 0.8), stage: 'extracting_audio' });
+  });
+
+  // Stage 2: Generate thumbnail (80-100%)
+  onProgress?.({ progress: 80, stage: 'generating_thumbnail' });
+  const thumbnailPath = await generateThumbnail(videoPath, 1);
+
+  onProgress?.({ progress: 100, stage: 'done' });
+
+  return { audioPath, thumbnailPath };
+}
+
+/**
+ * Write data to a temporary file.
+ *
+ * @param {Buffer} data - File data
+ * @param {string} filename - Original filename (for extension)
+ * @returns {Promise<string>} - Path to the temp file
+ */
+function writeTempFile(data, filename) {
+  const tempDir = app.getPath('temp');
+  const ext = path.extname(filename) || '.mp4';
+  const tempPath = path.join(tempDir, `think_video_${Date.now()}${ext}`);
+
+  return new Promise((resolve, reject) => {
+    fs.writeFile(tempPath, data, (err) => {
+      if (err) reject(err);
+      else resolve(tempPath);
+    });
+  });
+}
+
+/**
+ * Delete a temporary file.
+ *
+ * @param {string} filePath - Path to the file to delete
+ */
+function deleteTempFile(filePath) {
+  return new Promise((resolve) => {
+    fs.unlink(filePath, (err) => {
+      if (err) {
+        console.warn('[VideoProcessor] Failed to delete temp file:', filePath, err);
+      }
+      resolve();
+    });
+  });
+}
+
+/**
+ * Read a file as a buffer.
+ *
+ * @param {string} filePath - Path to the file
+ * @returns {Promise<Buffer>}
+ */
+function readFile(filePath) {
+  return new Promise((resolve, reject) => {
+    fs.readFile(filePath, (err, data) => {
+      if (err) reject(err);
+      else resolve(data);
+    });
+  });
+}
+
+module.exports = {
+  getFFmpegPath,
+  extractAudio,
+  generateThumbnail,
+  processVideo,
+  writeTempFile,
+  deleteTempFile,
+  readFile,
+};
diff --git a/app/package.json b/app/package.json
index 2f80b64..2887a33 100644
--- a/app/package.json
+++ b/app/package.json
@@ -33,6 +33,14 @@
           "think-native-stub",
           "think-native-stub.exe"
         ]
+      },
+      {
+        "from": "node_modules/ffmpeg-static/ffmpeg",
+        "to": "ffmpeg/ffmpeg"
+      },
+      {
+        "from": "node_modules/ffmpeg-static/ffmpeg.exe",
+        "to": "ffmpeg/ffmpeg.exe"
       }
     ],
     "mac": {
@@ -66,6 +74,7 @@
     }
   },
   "dependencies": {
+    "ffmpeg-static": "^5.2.0",
     "@microsoft/fetch-event-source": "^2.0.1",
     "@radix-ui/react-dialog": "^1.1.15",
     "@radix-ui/react-popover": "^1.1.15",
@@ -97,6 +106,7 @@
     "electron-builder": "^25.1.8",
     "png-to-ico": "^3.0.1",
     "postcss": "^8.4.49",
+    "sharp": "^0.34.5",
     "tailwindcss": "^3.4.15",
     "typescript": "^5.6.3",
     "vite": "^6.0.1",
diff --git a/app/public/icons/tray-iconTemplate.png b/app/public/icons/tray-iconTemplate.png
new file mode 100644
index 0000000000000000000000000000000000000000..b71ecd6220dce44f5d8c5d2b3f559366e41ca47d
GIT binary patch
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diff --git a/app/public/icons/tray-iconTemplate@2x.png b/app/public/icons/tray-iconTemplate@2x.png
new file mode 100644
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GIT binary patch
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diff --git a/app/src/App.tsx b/app/src/App.tsx
index 8bc1cce..90cb9e1 100644
--- a/app/src/App.tsx
+++ b/app/src/App.tsx
@@ -1,5 +1,5 @@
 import { useState, useEffect } from "react";
-import { MemoryRouter, Routes, Route } from "react-router-dom";
+import { HashRouter, Routes, Route } from "react-router-dom";
 import SetupWizard from "./SetupWizard";
 import LockScreen from "./LockScreen";
 import MainLayout from "./layouts/MainLayout";
@@ -7,8 +7,10 @@ import HomePage from "./pages/HomePage";
 import ChatPage from "./pages/ChatPage";
 import MemoriesPage from "./pages/MemoriesPage";
 import SettingsPage from "./pages/SettingsPage";
+import RecordingPage from "./pages/RecordingPage";
 import { NamePromptDialog } from "./components/NamePromptDialog";
 import { Button } from "@/components/ui/button";
+import { Lock } from "lucide-react";
 import { Toaster } from "@/components/ui/sonner";
 import { toast } from "sonner";
 import { useSystemTheme } from "@/hooks/useSystemTheme";
@@ -112,11 +114,12 @@ function App() {
         const modelsRes = await apiFetch("/api/settings/models?provider=ollama");
         const modelsData = await modelsRes.json();
 
-        // Check if current_model exists in the available models list
+        // Check if current_model exists AND is downloaded
         const hasConfiguredModel = modelsData.models?.some(
-          (m: { name: string }) =>
-            m.name === modelsData.current_model ||
-            m.name.startsWith(modelsData.current_model + ":")
+          (m: { name: string; is_downloaded: boolean }) =>
+            m.is_downloaded &&
+            (m.name === modelsData.current_model ||
+              m.name.startsWith(modelsData.current_model + ":"))
         );
 
         if (!hasConfiguredModel) {
@@ -242,6 +245,25 @@ function App() {
   }
 
   if (appState === "locked") {
+    // Check if we're in the recording popup window
+    const isRecordingRoute = window.location.hash === '#/recording';
+
+    if (isRecordingRoute) {
+      // Compact message for the small recording popup
+      return (
+        <div className="flex flex-col items-center justify-center min-h-screen gap-3 p-4 text-center bg-background">
+          <Lock className="h-8 w-8 text-muted-foreground" />
+          <p className="text-sm text-muted-foreground">Think is locked</p>
+          <Button
+            size="sm"
+            onClick={() => window.electronAPI?.openMainWindow?.()}
+          >
+            Unlock
+          </Button>
+        </div>
+      );
+    }
+
     return <LockScreen needsSetup={false} onUnlock={handleUnlock} />;
   }
 
@@ -251,8 +273,12 @@ function App() {
 
   return (
     <>
-      <MemoryRouter>
+      <HashRouter>
         <Routes>
+          {/* Recording popup - standalone window without layout */}
+          <Route path="/recording" element={<RecordingPage />} />
+
+          {/* Main app routes */}
           <Route element={<MainLayout />}>
             <Route path="/" element={<HomePage userName={userName} />} />
             <Route path="/memories" element={<MemoriesPage />} />
@@ -263,7 +289,7 @@ function App() {
             />
           </Route>
         </Routes>
-      </MemoryRouter>
+      </HashRouter>
 
       <NamePromptDialog
         open={showNameDialog}
diff --git a/app/src/SetupWizard.tsx b/app/src/SetupWizard.tsx
index 12c24d8..30aaf0a 100644
--- a/app/src/SetupWizard.tsx
+++ b/app/src/SetupWizard.tsx
@@ -9,30 +9,6 @@ interface Props {
   onComplete: () => void;
 }
 
-declare global {
-  interface Window {
-    electronAPI?: {
-      checkOllama: () => Promise<{ installed: boolean; running: boolean }>;
-      downloadOllama: () => Promise<{ success: boolean; error?: string }>;
-      pullModel: (model: string) => Promise<{ success: boolean; error?: string }>;
-      onOllamaDownloadProgress: (callback: (data: { progress: number; stage: string }) => void) => void;
-      onModelPullProgress: (callback: (data: { progress?: number; status: string }) => void) => void;
-      removeOllamaDownloadProgress: () => void;
-      removeModelPullProgress: () => void;
-      // Backend status handlers
-      onBackendReady: (callback: (data?: { token?: string }) => void) => void;
-      onBackendError: (callback: (data: { message: string }) => void) => void;
-      removeBackendListeners: () => void;
-      // App token for API authentication
-      getAppToken: () => string | null;
-      // Auto-update handlers
-      onUpdateDownloaded: (callback: (version: string) => void) => void;
-      removeUpdateListeners: () => void;
-      installUpdate: () => Promise<void>;
-    };
-  }
-}
-
 function WizardLayout({ title, children }: { title?: string; children: React.ReactNode }) {
   return (
     <div className="relative flex items-center justify-center min-h-screen bg-background p-4">
diff --git a/app/src/components/AudioCard.tsx b/app/src/components/AudioCard.tsx
new file mode 100644
index 0000000..b216888
--- /dev/null
+++ b/app/src/components/AudioCard.tsx
@@ -0,0 +1,257 @@
+import { useState, useRef, useEffect } from "react";
+import { Button } from "@/components/ui/button";
+import {
+  FileAudio,
+  X,
+  PanelRight,
+  Play,
+  Pause,
+  Loader2,
+} from "lucide-react";
+import { cn } from "@/lib/utils";
+import { getAppToken } from "@/lib/api";
+import { API_BASE_URL } from "@/constants";
+import type { TranscriptionStatus } from "@/types/chat";
+
+interface MemoryTag {
+  id: number;
+  name: string;
+  source: "ai" | "manual";
+}
+
+interface AudioMemory {
+  id: number;
+  type: "audio";
+  title: string;
+  summary: string | null;
+  tags: MemoryTag[];
+  created_at: string;
+  audio_duration?: number;
+  transcription_status?: TranscriptionStatus;
+}
+
+interface AudioCardProps {
+  memory: AudioMemory;
+  onRemoveTag: (memoryId: number, tagId: number) => void;
+  onExpand: (id: number) => void;
+  formatDate: (date: string) => string;
+}
+
+function formatDuration(seconds: number | undefined): string {
+  if (seconds === undefined || seconds === null) return "0:00";
+  const totalSeconds = Math.floor(seconds);
+  const hours = Math.floor(totalSeconds / 3600);
+  const minutes = Math.floor((totalSeconds % 3600) / 60);
+  const secs = totalSeconds % 60;
+
+  if (hours > 0) {
+    return `${hours}:${minutes.toString().padStart(2, "0")}:${secs.toString().padStart(2, "0")}`;
+  }
+  return `${minutes}:${secs.toString().padStart(2, "0")}`;
+}
+
+function TranscriptionStatusBadge({ status }: { status?: TranscriptionStatus }) {
+  if (!status || status === "completed") return null;
+
+  const statusConfig = {
+    pending: { label: "Pending", className: "bg-muted text-muted-foreground" },
+    processing: { label: "Transcribing...", className: "bg-muted text-muted-foreground" },
+    failed: { label: "Failed", className: "bg-red-100 text-red-700 dark:bg-red-900/30 dark:text-red-400" },
+  };
+
+  const config = statusConfig[status] || statusConfig.pending;
+
+  return (
+    <span className={cn(
+      "inline-flex items-center gap-1.5 px-2 py-0.5 text-[11px] rounded-full font-medium",
+      config.className
+    )}>
+      {status === "processing" && <Loader2 className="h-3 w-3 animate-spin" />}
+      {config.label}
+    </span>
+  );
+}
+
+export function AudioCard({
+  memory,
+  onRemoveTag,
+  onExpand,
+  formatDate,
+}: AudioCardProps) {
+  const [isPlaying, setIsPlaying] = useState(false);
+  const [isLoading, setIsLoading] = useState(false);
+  const audioRef = useRef<HTMLAudioElement | null>(null);
+  const blobUrlRef = useRef<string | null>(null);
+
+  // Cleanup audio element and blob URL on unmount to prevent memory leaks
+  useEffect(() => {
+    return () => {
+      // Pause and clean up audio element
+      if (audioRef.current) {
+        audioRef.current.pause();
+        audioRef.current.src = "";
+        audioRef.current = null;
+      }
+      // Revoke blob URL
+      if (blobUrlRef.current) {
+        URL.revokeObjectURL(blobUrlRef.current);
+        blobUrlRef.current = null;
+      }
+    };
+  }, []);
+
+  const handlePlayPause = async (e: React.MouseEvent) => {
+    e.stopPropagation();
+
+    if (!audioRef.current) {
+      // Create audio element on first play
+      setIsLoading(true);
+      const audio = new Audio();
+
+      // Fetch audio with auth token
+      const token = getAppToken();
+      const response = await fetch(`${API_BASE_URL}/api/media/${memory.id}/stream`, {
+        headers: token ? { "X-App-Token": token } : {},
+      });
+
+      if (!response.ok) {
+        console.error("Failed to load audio");
+        setIsLoading(false);
+        return;
+      }
+
+      const blob = await response.blob();
+      const blobUrl = URL.createObjectURL(blob);
+      blobUrlRef.current = blobUrl;
+      audio.src = blobUrl;
+      audio.onended = () => setIsPlaying(false);
+      audio.oncanplay = () => setIsLoading(false);
+      audioRef.current = audio;
+    }
+
+    if (isPlaying) {
+      audioRef.current?.pause();
+      setIsPlaying(false);
+    } else {
+      audioRef.current?.play();
+      setIsPlaying(true);
+    }
+  };
+
+  return (
+    <div
+      className={cn(
+        "group relative p-5 rounded-2xl",
+        // Glassmorphism - light mode
+        "bg-white/70 dark:bg-white/5 backdrop-blur-md",
+        "border border-white/60 dark:border-white/10",
+        "shadow-sm shadow-black/5 dark:shadow-black/20",
+        // Hover lift effect
+        "hover:shadow-lg hover:shadow-black/10 dark:hover:shadow-black/30",
+        "hover:-translate-y-0.5",
+        "transition-all duration-200"
+      )}
+    >
+      {/* Hover actions - top right */}
+      <div
+        className={cn(
+          "absolute top-3 right-3 flex gap-0.5",
+          "opacity-0 group-hover:opacity-100",
+          "transition-opacity duration-200"
+        )}
+      >
+        <Button
+          variant="ghost"
+          size="icon"
+          onClick={() => onExpand(memory.id)}
+          className="h-7 w-7 text-muted-foreground hover:text-foreground"
+          title="View Details"
+        >
+          <PanelRight className="h-3.5 w-3.5" />
+        </Button>
+      </div>
+
+      {/* Header: Audio icon + Title */}
+      <div className="flex items-start gap-2.5 mb-3 pr-14">
+        <div className="mt-0.5">
+          <FileAudio className="h-4 w-4 text-blue-600" />
+        </div>
+        <h3 className="font-medium text-[15px] leading-snug line-clamp-2">
+          {memory.title || "Audio File"}
+        </h3>
+      </div>
+
+      {/* Audio Player */}
+      <div className="flex items-center gap-3 mb-3 p-2.5 rounded-lg bg-slate-100/50 dark:bg-white/5">
+        <Button
+          variant="ghost"
+          size="icon"
+          onClick={handlePlayPause}
+          disabled={isLoading || memory.transcription_status === "processing"}
+          className="h-9 w-9 rounded-full bg-blue-100 hover:bg-blue-200 dark:bg-blue-900/30 dark:hover:bg-blue-900/50 text-blue-600"
+        >
+          {isLoading ? (
+            <Loader2 className="h-4 w-4 animate-spin" />
+          ) : isPlaying ? (
+            <Pause className="h-4 w-4" />
+          ) : (
+            <Play className="h-4 w-4 ml-0.5" />
+          )}
+        </Button>
+        <div className="flex-1">
+          <div className="text-sm font-medium">
+            {formatDuration(memory.audio_duration)}
+          </div>
+          <TranscriptionStatusBadge status={memory.transcription_status} />
+        </div>
+      </div>
+
+      {/* Summary */}
+      {memory.summary ? (
+        <p className="text-sm text-muted-foreground leading-relaxed mb-4 line-clamp-3">
+          {memory.summary}
+        </p>
+      ) : memory.transcription_status === "completed" ? (
+        <p className="text-sm text-muted-foreground/50 italic mb-4">
+          Generating summary...
+        </p>
+      ) : null}
+
+      {/* Tags */}
+      {memory.tags.length > 0 && (
+        <div className="flex flex-wrap items-center gap-1.5 mb-3">
+          {memory.tags.map((tag) => (
+            <span
+              key={tag.id}
+              className={cn(
+                "inline-flex items-center gap-1 px-2 py-0.5 text-[11px] rounded-full",
+                "transition-colors",
+                tag.source === "ai"
+                  ? "bg-slate-100 dark:bg-white/10 text-slate-500 dark:text-slate-400"
+                  : "bg-primary/10 text-primary"
+              )}
+            >
+              {tag.name}
+              {tag.source === "manual" && (
+                <button
+                  onClick={(e) => {
+                    e.stopPropagation();
+                    onRemoveTag(memory.id, tag.id);
+                  }}
+                  className="hover:text-primary/70 -mr-0.5"
+                >
+                  <X className="h-3 w-3" />
+                </button>
+              )}
+            </span>
+          ))}
+        </div>
+      )}
+
+      {/* Date */}
+      <p className="text-[11px] text-muted-foreground/70">
+        {formatDate(memory.created_at)}
+      </p>
+    </div>
+  );
+}
diff --git a/app/src/components/AudioDropOverlay.tsx b/app/src/components/AudioDropOverlay.tsx
new file mode 100644
index 0000000..781d05e
--- /dev/null
+++ b/app/src/components/AudioDropOverlay.tsx
@@ -0,0 +1,235 @@
+import { useState, useEffect, useCallback } from "react";
+import { createPortal } from "react-dom";
+import { Mic, Upload } from "lucide-react";
+import { cn } from "@/lib/utils";
+import { apiFetch } from "@/lib/api";
+import { toast } from "sonner";
+
+const SUPPORTED_AUDIO_TYPES = [
+  "audio/mpeg",
+  "audio/mp3",
+  "audio/wav",
+  "audio/wave",
+  "audio/x-wav",
+  "audio/mp4",
+  "audio/x-m4a",
+  "audio/m4a",
+  "audio/webm",
+  "audio/ogg",
+  "audio/flac",
+  "audio/x-flac",
+];
+
+const SUPPORTED_EXTENSIONS = ["mp3", "wav", "m4a", "webm", "ogg", "flac"];
+
+interface AudioDropOverlayProps {
+  onUploadComplete?: () => void;
+}
+
+export function AudioDropOverlay({ onUploadComplete }: AudioDropOverlayProps) {
+  const [isDragging, setIsDragging] = useState(false);
+  const [isUploading, setIsUploading] = useState(false);
+
+  const isAudioFile = useCallback((file: File): boolean => {
+    // Check MIME type
+    if (SUPPORTED_AUDIO_TYPES.includes(file.type)) {
+      return true;
+    }
+    // Check extension as fallback
+    const ext = file.name.split(".").pop()?.toLowerCase();
+    return ext ? SUPPORTED_EXTENSIONS.includes(ext) : false;
+  }, []);
+
+  const hasAudioFiles = useCallback((dataTransfer: DataTransfer): boolean => {
+    if (dataTransfer.types.includes("Files")) {
+      // Check items if available
+      if (dataTransfer.items) {
+        for (let i = 0; i < dataTransfer.items.length; i++) {
+          const item = dataTransfer.items[i];
+          if (item.kind === "file") {
+            const type = item.type;
+            if (SUPPORTED_AUDIO_TYPES.includes(type)) {
+              return true;
+            }
+          }
+        }
+      }
+      // Fall back to checking files
+      if (dataTransfer.files.length > 0) {
+        for (let i = 0; i < dataTransfer.files.length; i++) {
+          if (isAudioFile(dataTransfer.files[i])) {
+            return true;
+          }
+        }
+      }
+      // If we have files but can't determine type, show the overlay
+      return true;
+    }
+    return false;
+  }, [isAudioFile]);
+
+  const uploadFile = async (file: File) => {
+    const formData = new FormData();
+    formData.append("file", file);
+
+    const response = await apiFetch("/api/media/upload", {
+      method: "POST",
+      body: formData,
+    });
+
+    if (!response.ok) {
+      const error = await response.json().catch(() => ({ detail: "Upload failed" }));
+      throw new Error(error.detail || "Upload failed");
+    }
+
+    return response.json();
+  };
+
+  const handleDrop = useCallback(async (e: DragEvent) => {
+    e.preventDefault();
+    e.stopPropagation();
+    setIsDragging(false);
+
+    if (!e.dataTransfer?.files.length) return;
+
+    const audioFiles = Array.from(e.dataTransfer.files).filter(isAudioFile);
+
+    if (audioFiles.length === 0) {
+      toast.error("No audio files detected", {
+        description: `Supported formats: ${SUPPORTED_EXTENSIONS.join(", ")}`,
+      });
+      return;
+    }
+
+    setIsUploading(true);
+
+    try {
+      // Upload files in parallel
+      const uploadPromises = audioFiles.map(async (file) => {
+        try {
+          await uploadFile(file);
+          return { success: true, name: file.name };
+        } catch (error) {
+          return { success: false, name: file.name, error };
+        }
+      });
+
+      const results = await Promise.all(uploadPromises);
+
+      const successful = results.filter((r) => r.success);
+      const failed = results.filter((r) => !r.success);
+
+      if (successful.length > 0) {
+        toast.success(
+          successful.length === 1
+            ? "Audio file uploaded"
+            : `${successful.length} audio files uploaded`,
+          {
+            description: "Transcription will begin shortly",
+          }
+        );
+        onUploadComplete?.();
+      }
+
+      if (failed.length > 0) {
+        toast.error(
+          `Failed to upload ${failed.length} file${failed.length > 1 ? "s" : ""}`,
+          {
+            description: failed.map((f) => f.name).join(", "),
+          }
+        );
+      }
+    } catch (error) {
+      toast.error("Upload failed", {
+        description: error instanceof Error ? error.message : "Unknown error",
+      });
+    } finally {
+      setIsUploading(false);
+    }
+  }, [isAudioFile, onUploadComplete]);
+
+  const handleDragOver = useCallback((e: DragEvent) => {
+    e.preventDefault();
+    e.stopPropagation();
+  }, []);
+
+  const handleDragEnter = useCallback((e: DragEvent) => {
+    e.preventDefault();
+    e.stopPropagation();
+
+    if (e.dataTransfer && hasAudioFiles(e.dataTransfer)) {
+      setIsDragging(true);
+    }
+  }, [hasAudioFiles]);
+
+  const handleDragLeave = useCallback((e: DragEvent) => {
+    e.preventDefault();
+    e.stopPropagation();
+
+    // Only hide if leaving the window entirely
+    if (e.relatedTarget === null || !document.body.contains(e.relatedTarget as Node)) {
+      setIsDragging(false);
+    }
+  }, []);
+
+  useEffect(() => {
+    const handleWindowDragEnter = (e: DragEvent) => handleDragEnter(e);
+    const handleWindowDragOver = (e: DragEvent) => handleDragOver(e);
+    const handleWindowDragLeave = (e: DragEvent) => handleDragLeave(e);
+    const handleWindowDrop = (e: DragEvent) => handleDrop(e);
+
+    window.addEventListener("dragenter", handleWindowDragEnter);
+    window.addEventListener("dragover", handleWindowDragOver);
+    window.addEventListener("dragleave", handleWindowDragLeave);
+    window.addEventListener("drop", handleWindowDrop);
+
+    return () => {
+      window.removeEventListener("dragenter", handleWindowDragEnter);
+      window.removeEventListener("dragover", handleWindowDragOver);
+      window.removeEventListener("dragleave", handleWindowDragLeave);
+      window.removeEventListener("drop", handleWindowDrop);
+    };
+  }, [handleDragEnter, handleDragOver, handleDragLeave, handleDrop]);
+
+  if (!isDragging && !isUploading) return null;
+
+  return createPortal(
+    <div
+      className={cn(
+        "fixed inset-0 z-[100] flex items-center justify-center",
+        "bg-background/80 backdrop-blur-md",
+        "transition-opacity duration-200",
+        isDragging ? "opacity-100" : "opacity-0 pointer-events-none"
+      )}
+    >
+      <div
+        className={cn(
+          "flex flex-col items-center gap-4 p-12 rounded-3xl",
+          "bg-purple-50/50 dark:bg-purple-950/30",
+          "border-2 border-dashed border-purple-300 dark:border-purple-700",
+          "transition-transform duration-200",
+          isDragging ? "scale-100" : "scale-95"
+        )}
+      >
+        <div className="w-16 h-16 rounded-full bg-purple-100 dark:bg-purple-900/50 flex items-center justify-center">
+          {isUploading ? (
+            <Upload className="h-8 w-8 text-purple-600 animate-bounce" />
+          ) : (
+            <Mic className="h-8 w-8 text-purple-600" />
+          )}
+        </div>
+        <div className="text-center">
+          <h3 className="text-lg font-semibold text-purple-900 dark:text-purple-100">
+            {isUploading ? "Uploading..." : "Drop audio files"}
+          </h3>
+          <p className="text-sm text-purple-600 dark:text-purple-400 mt-1">
+            {isUploading
+              ? "Creating voice memories"
+              : `Supported: ${SUPPORTED_EXTENSIONS.join(", ")}`}
+          </p>
+        </div>
+      </div>
+    </div>,
+    document.body
+  );
+}
diff --git a/app/src/components/MemoryDetailPanel.tsx b/app/src/components/MemoryDetailPanel.tsx
index 733398d..a1bfb63 100644
--- a/app/src/components/MemoryDetailPanel.tsx
+++ b/app/src/components/MemoryDetailPanel.tsx
@@ -7,6 +7,9 @@ import {
   X,
   Globe,
   FileText,
+  Mic,
+  FileAudio,
+  Video,
   Loader2,
   Pencil,
   Check,
@@ -17,11 +20,22 @@ import {
   Sparkles,
   Lightbulb,
   Network,
+  Play,
+  Pause,
+  ChevronDown,
+  ChevronUp,
+  RotateCcw,
+  Copy,
+  SkipBack,
+  SkipForward,
 } from "lucide-react";
+import { toast } from "sonner";
 import { cn } from "@/lib/utils";
-import { apiFetch } from "@/lib/api";
+import { apiFetch, getAppToken } from "@/lib/api";
+import { API_BASE_URL } from "@/constants";
 import { useMemoryEvents } from "../hooks/useMemoryEvents";
 import { useConversation } from "../contexts/ConversationContext";
+import type { TranscriptionStatus, TranscriptSegment, VideoProcessingStatus } from "@/types/chat";
 
 interface MemoryTag {
   id: number;
@@ -31,13 +45,25 @@ interface MemoryTag {
 
 interface Memory {
   id: number;
-  type: "web" | "note";
+  type: "web" | "note" | "voice_memo" | "audio" | "video" | "voice"; // "voice" for backwards compat
   url: string | null;
   title: string;
   content?: string;
   summary: string | null;
   tags: MemoryTag[];
   created_at: string;
+  // Media-specific fields (voice memos and audio uploads)
+  audio_duration?: number;
+  transcript?: string;
+  transcription_status?: TranscriptionStatus;
+  transcript_segments?: TranscriptSegment[];
+  media_source?: "recording" | "upload";
+  // Video-specific fields
+  video_duration?: number;
+  video_width?: number;
+  video_height?: number;
+  thumbnail_path?: string;
+  video_processing_status?: VideoProcessingStatus;
 }
 
 interface Tag {
@@ -80,6 +106,30 @@ export function MemoryDetailPanel({
   const [tagSuggestions, setTagSuggestions] = useState<Tag[]>([]);
   const [showTagSuggestions, setShowTagSuggestions] = useState(false);
 
+  // Voice memory state
+  const [isPlaying, setIsPlaying] = useState(false);
+  const [isAudioLoading, setIsAudioLoading] = useState(false);
+  const [showFullTranscript, setShowFullTranscript] = useState(false);
+  const [isRetrying, setIsRetrying] = useState(false);
+  const [copiedTranscript, setCopiedTranscript] = useState(false);
+  const [currentTime, setCurrentTime] = useState(0);
+  const [duration, setDuration] = useState(0);
+  const [playbackRate, setPlaybackRate] = useState(1);
+  const audioRef = useRef<HTMLAudioElement | null>(null);
+  const blobUrlRef = useRef<string | null>(null);
+
+  // Video player state
+  const [isVideoLoading, setIsVideoLoading] = useState(false);
+  const [videoCurrentTime, setVideoCurrentTime] = useState(0);
+  const [videoDuration, setVideoDuration] = useState(0);
+  const [isVideoPlaying, setIsVideoPlaying] = useState(false);
+  const [videoPlaybackRate, setVideoPlaybackRate] = useState(1);
+  const [videoSrc, setVideoSrc] = useState<string | null>(null);
+  const [videoThumbnailUrl, setVideoThumbnailUrl] = useState<string | null>(null);
+  const videoRef = useRef<HTMLVideoElement | null>(null);
+  const videoBlobUrlRef = useRef<string | null>(null);
+  const videoThumbnailUrlRef = useRef<string | null>(null);
+
   const titleInputRef = useRef<HTMLInputElement>(null);
   const navigate = useNavigate();
   const { startNewChat, addAttachedMemory } = useConversation();
@@ -107,6 +157,64 @@ export function MemoryDetailPanel({
     }
   }, [memoryId, isOpen]);
 
+  // Fetch video thumbnail when memory has one
+  useEffect(() => {
+    if (!memory || memory.type !== "video" || !memory.thumbnail_path) {
+      return;
+    }
+
+    let isCancelled = false;
+    let blobUrl: string | null = null;
+
+    const fetchThumbnail = async () => {
+      try {
+        const token = getAppToken();
+        const response = await fetch(`${API_BASE_URL}/api/video/${memory.id}/thumbnail`, {
+          headers: token ? { "X-App-Token": token } : {},
+        });
+
+        if (!response.ok) {
+          throw new Error("Failed to load thumbnail");
+        }
+
+        const blob = await response.blob();
+
+        // Check if component was unmounted during fetch
+        if (isCancelled) {
+          return;
+        }
+
+        blobUrl = URL.createObjectURL(blob);
+
+        // Revoke previous URL if exists
+        if (videoThumbnailUrlRef.current) {
+          URL.revokeObjectURL(videoThumbnailUrlRef.current);
+        }
+
+        videoThumbnailUrlRef.current = blobUrl;
+        setVideoThumbnailUrl(blobUrl);
+      } catch (error) {
+        if (!isCancelled) {
+          console.error("Failed to load video thumbnail:", error);
+        }
+      }
+    };
+
+    fetchThumbnail();
+
+    return () => {
+      isCancelled = true;
+      // Revoke both the ref URL and any URL created during this effect
+      if (videoThumbnailUrlRef.current) {
+        URL.revokeObjectURL(videoThumbnailUrlRef.current);
+        videoThumbnailUrlRef.current = null;
+      }
+      if (blobUrl && blobUrl !== videoThumbnailUrlRef.current) {
+        URL.revokeObjectURL(blobUrl);
+      }
+    };
+  }, [memory?.id, memory?.type, memory?.thumbnail_path]);
+
   // Reset editing state when panel closes
   useEffect(() => {
     if (!isOpen) {
@@ -327,6 +435,349 @@ export function MemoryDetailPanel({
     }
   };
 
+  // Voice/Audio memory functions
+  const handlePlayPause = async () => {
+    if (!memory || (memory.type !== "voice_memo" && memory.type !== "audio" && memory.type !== "voice")) return;
+
+    if (!audioRef.current) {
+      setIsAudioLoading(true);
+      let blobUrl: string | null = null;
+
+      try {
+        const token = getAppToken();
+        const response = await fetch(`${API_BASE_URL}/api/media/${memory.id}/stream`, {
+          headers: token ? { "X-App-Token": token } : {},
+        });
+
+        if (!response.ok) {
+          throw new Error("Failed to load audio");
+        }
+
+        const blob = await response.blob();
+        blobUrl = URL.createObjectURL(blob);
+
+        const audio = new Audio();
+        blobUrlRef.current = blobUrl;
+        audio.src = blobUrl;
+        audio.onended = () => setIsPlaying(false);
+        audio.oncanplay = () => {
+          setIsAudioLoading(false);
+          setDuration(audio.duration);
+        };
+        audio.ontimeupdate = () => setCurrentTime(audio.currentTime);
+        audio.onloadedmetadata = () => setDuration(audio.duration);
+        audioRef.current = audio;
+      } catch (error) {
+        console.error("Failed to load audio:", error);
+        // Clean up blob URL if it was created but setup failed
+        if (blobUrl && !blobUrlRef.current) {
+          URL.revokeObjectURL(blobUrl);
+        }
+        setIsAudioLoading(false);
+        return;
+      }
+    }
+
+    if (isPlaying) {
+      audioRef.current?.pause();
+      setIsPlaying(false);
+    } else {
+      audioRef.current?.play();
+      setIsPlaying(true);
+    }
+  };
+
+  // Video playback functions
+  const handleVideoPlayPause = async () => {
+    if (!memory || memory.type !== "video") return;
+
+    // If video not loaded yet, fetch it
+    if (!videoSrc) {
+      setIsVideoLoading(true);
+      let blobUrl: string | null = null;
+
+      try {
+        const token = getAppToken();
+        const response = await fetch(`${API_BASE_URL}/api/video/${memory.id}/stream`, {
+          headers: token ? { "X-App-Token": token } : {},
+        });
+
+        if (!response.ok) {
+          throw new Error("Failed to load video");
+        }
+
+        const blob = await response.blob();
+        blobUrl = URL.createObjectURL(blob);
+        videoBlobUrlRef.current = blobUrl;
+        setVideoSrc(blobUrl);
+        setIsVideoLoading(false);
+        // Video will auto-play when loaded via onCanPlay handler
+        return;
+      } catch (error) {
+        console.error("Failed to load video:", error);
+        // Clean up blob URL if it was created but setup failed
+        if (blobUrl && !videoBlobUrlRef.current) {
+          URL.revokeObjectURL(blobUrl);
+        }
+        setIsVideoLoading(false);
+        return;
+      }
+    }
+
+    // Toggle play/pause
+    if (isVideoPlaying) {
+      videoRef.current?.pause();
+      setIsVideoPlaying(false);
+    } else {
+      videoRef.current?.play();
+      setIsVideoPlaying(true);
+    }
+  };
+
+  const handleVideoSkip = (seconds: number) => {
+    if (videoRef.current) {
+      videoRef.current.currentTime = Math.max(
+        0,
+        Math.min(videoRef.current.currentTime + seconds, videoRef.current.duration)
+      );
+    }
+  };
+
+  const handleVideoSeek = (e: React.MouseEvent<HTMLDivElement>) => {
+    if (!videoRef.current || !videoDuration) return;
+    const rect = e.currentTarget.getBoundingClientRect();
+    const percent = (e.clientX - rect.left) / rect.width;
+    videoRef.current.currentTime = percent * videoDuration;
+  };
+
+  const handleVideoPlaybackRateChange = () => {
+    const rates = [1, 1.25, 1.5, 1.75, 2];
+    const currentIndex = rates.indexOf(videoPlaybackRate);
+    const nextRate = rates[(currentIndex + 1) % rates.length];
+    setVideoPlaybackRate(nextRate);
+    if (videoRef.current) {
+      videoRef.current.playbackRate = nextRate;
+    }
+  };
+
+  const handleVideoSeekToTime = async (time: number) => {
+    if (!memory || memory.type !== "video") return;
+
+    if (!videoRef.current) {
+      setIsVideoLoading(true);
+      const video = document.createElement("video");
+
+      const token = getAppToken();
+      const response = await fetch(`${API_BASE_URL}/api/video/${memory.id}/stream`, {
+        headers: token ? { "X-App-Token": token } : {},
+      });
+
+      if (!response.ok) {
+        console.error("Failed to load video");
+        setIsVideoLoading(false);
+        return;
+      }
+
+      const blob = await response.blob();
+      const blobUrl = URL.createObjectURL(blob);
+      videoBlobUrlRef.current = blobUrl;
+      video.src = blobUrl;
+      video.onended = () => setIsVideoPlaying(false);
+      video.oncanplay = () => {
+        setIsVideoLoading(false);
+        setVideoDuration(video.duration);
+        video.currentTime = time;
+        video.play();
+        setIsVideoPlaying(true);
+      };
+      video.ontimeupdate = () => setVideoCurrentTime(video.currentTime);
+      video.onloadedmetadata = () => setVideoDuration(video.duration);
+      videoRef.current = video;
+    } else {
+      videoRef.current.currentTime = time;
+      if (!isVideoPlaying) {
+        videoRef.current.play();
+        setIsVideoPlaying(true);
+      }
+    }
+  };
+
+  const handleSkip = (seconds: number) => {
+    if (audioRef.current) {
+      audioRef.current.currentTime = Math.max(
+        0,
+        Math.min(audioRef.current.currentTime + seconds, audioRef.current.duration)
+      );
+    }
+  };
+
+  const handleSeek = (e: React.MouseEvent<HTMLDivElement>) => {
+    if (!audioRef.current || !duration) return;
+    const rect = e.currentTarget.getBoundingClientRect();
+    const percent = (e.clientX - rect.left) / rect.width;
+    audioRef.current.currentTime = percent * duration;
+  };
+
+  const handlePlaybackRateChange = () => {
+    const rates = [1, 1.25, 1.5, 1.75, 2];
+    const currentIndex = rates.indexOf(playbackRate);
+    const nextRate = rates[(currentIndex + 1) % rates.length];
+    setPlaybackRate(nextRate);
+    if (audioRef.current) {
+      audioRef.current.playbackRate = nextRate;
+    }
+  };
+
+  const handleCopyTranscript = async () => {
+    if (!memory?.transcript) return;
+    try {
+      await navigator.clipboard.writeText(memory.transcript);
+      setCopiedTranscript(true);
+      toast.success("Transcript copied to clipboard");
+      setTimeout(() => setCopiedTranscript(false), 2000);
+    } catch {
+      toast.error("Failed to copy transcript");
+    }
+  };
+
+  const handleSeekToTime = async (time: number) => {
+    // For video type, use video seek
+    if (memory?.type === "video") {
+      handleVideoSeekToTime(time);
+      return;
+    }
+
+    // Initialize audio if not already loaded
+    if (!audioRef.current && (memory?.type === "voice_memo" || memory?.type === "audio" || memory?.type === "voice")) {
+      setIsAudioLoading(true);
+      const audio = new Audio();
+
+      const token = getAppToken();
+      const response = await fetch(
+        `${API_BASE_URL}/api/media/${memory.id}/stream`,
+        {
+          headers: token ? { "X-App-Token": token } : {},
+        }
+      );
+
+      if (!response.ok) {
+        console.error("Failed to load audio");
+        setIsAudioLoading(false);
+        return;
+      }
+
+      const blob = await response.blob();
+      const blobUrl = URL.createObjectURL(blob);
+      blobUrlRef.current = blobUrl;
+      audio.src = blobUrl;
+      audio.onended = () => setIsPlaying(false);
+      audio.oncanplay = () => {
+        setIsAudioLoading(false);
+        setDuration(audio.duration);
+        // Seek after audio is ready
+        audio.currentTime = time;
+        audio.play();
+        setIsPlaying(true);
+      };
+      audio.ontimeupdate = () => setCurrentTime(audio.currentTime);
+      audio.onloadedmetadata = () => setDuration(audio.duration);
+      audioRef.current = audio;
+    } else if (audioRef.current) {
+      audioRef.current.currentTime = time;
+      if (!isPlaying) {
+        audioRef.current.play();
+        setIsPlaying(true);
+      }
+    }
+  };
+
+  const handleRetryTranscription = async () => {
+    if (!memory || (memory.type !== "voice_memo" && memory.type !== "audio" && memory.type !== "voice" && memory.type !== "video")) return;
+    setIsRetrying(true);
+
+    try {
+      // Use video endpoint for video type
+      const endpoint = memory.type === "video"
+        ? `/api/video/${memory.id}/retry`
+        : `/api/media/${memory.id}/retry`;
+
+      const res = await apiFetch(endpoint, {
+        method: "POST",
+      });
+
+      if (res.ok) {
+        setMemory((prev) =>
+          prev ? { ...prev, transcription_status: "pending" } : null
+        );
+      }
+    } catch (err) {
+      console.error("Failed to retry transcription:", err);
+    } finally {
+      setIsRetrying(false);
+    }
+  };
+
+  const formatDuration = (seconds: number | undefined): string => {
+    if (seconds === undefined || seconds === null || !isFinite(seconds)) return "0:00";
+    const totalSeconds = Math.floor(seconds);
+    const minutes = Math.floor(totalSeconds / 60);
+    const secs = totalSeconds % 60;
+    return `${minutes}:${secs.toString().padStart(2, "0")}`;
+  };
+
+  // Reset audio/video player when memory changes and cleanup blob URLs
+  useEffect(() => {
+    // Audio cleanup
+    if (audioRef.current) {
+      audioRef.current.pause();
+      audioRef.current = null;
+    }
+    if (blobUrlRef.current) {
+      URL.revokeObjectURL(blobUrlRef.current);
+      blobUrlRef.current = null;
+    }
+    setIsPlaying(false);
+    setCurrentTime(0);
+    setDuration(0);
+    setPlaybackRate(1);
+    setShowFullTranscript(false);
+
+    // Video cleanup
+    if (videoRef.current) {
+      videoRef.current.pause();
+      videoRef.current = null;
+    }
+    if (videoBlobUrlRef.current) {
+      URL.revokeObjectURL(videoBlobUrlRef.current);
+      videoBlobUrlRef.current = null;
+    }
+    if (videoThumbnailUrlRef.current) {
+      URL.revokeObjectURL(videoThumbnailUrlRef.current);
+      videoThumbnailUrlRef.current = null;
+    }
+    setVideoSrc(null);
+    setVideoThumbnailUrl(null);
+    setIsVideoPlaying(false);
+    setVideoCurrentTime(0);
+    setVideoDuration(0);
+    setVideoPlaybackRate(1);
+  }, [memoryId]);
+
+  // Cleanup blob URLs on unmount
+  useEffect(() => {
+    return () => {
+      if (blobUrlRef.current) {
+        URL.revokeObjectURL(blobUrlRef.current);
+      }
+      if (videoBlobUrlRef.current) {
+        URL.revokeObjectURL(videoBlobUrlRef.current);
+      }
+      if (videoThumbnailUrlRef.current) {
+        URL.revokeObjectURL(videoThumbnailUrlRef.current);
+      }
+    };
+  }, []);
+
   if (!isOpen) return null;
 
   return createPortal(
@@ -383,11 +834,17 @@ export function MemoryDetailPanel({
                 <div className="flex items-center gap-2 text-muted-foreground">
                   {memory.type === "web" ? (
                     <Globe className="h-4 w-4" />
+                  ) : memory.type === "voice_memo" || memory.type === "voice" ? (
+                    <Mic className="h-4 w-4 text-orange-600" />
+                  ) : memory.type === "audio" ? (
+                    <FileAudio className="h-4 w-4 text-blue-600" />
+                  ) : memory.type === "video" ? (
+                    <Video className="h-4 w-4 text-purple-600" />
                   ) : (
                     <FileText className="h-4 w-4 text-amber-600" />
                   )}
-                  <span className="text-sm capitalize">{memory.type}</span>
-                  {!isEditing && (
+                  <span className="text-sm capitalize">{memory.type === "voice_memo" ? "Voice Memo" : memory.type === "audio" ? "Audio" : memory.type === "voice" ? "Voice Memo" : memory.type === "video" ? "Video" : memory.type}</span>
+                  {!isEditing && memory.type !== "voice_memo" && memory.type !== "audio" && memory.type !== "voice" && memory.type !== "video" && (
                     <Button
                       variant="ghost"
                       size="icon"
@@ -476,6 +933,455 @@ export function MemoryDetailPanel({
                 </p>
               </div>
 
+              {/* Voice Memory: Enhanced Audio Player */}
+              {(memory.type === "voice_memo" || memory.type === "audio" || memory.type === "voice") && (
+                <div className="space-y-3">
+                  <div className="p-4 rounded-xl bg-slate-100/50 dark:bg-white/5 space-y-3">
+                    {/* Controls Row */}
+                    <div className="flex items-center justify-center gap-2">
+                      {/* Skip Back */}
+                      <Button
+                        variant="ghost"
+                        size="icon"
+                        onClick={() => handleSkip(-10)}
+                        disabled={isAudioLoading || !audioRef.current}
+                        className="h-8 w-8 text-muted-foreground hover:text-foreground"
+                        title="Back 10 seconds"
+                      >
+                        <SkipBack className="h-4 w-4" />
+                      </Button>
+
+                      {/* Play/Pause */}
+                      <Button
+                        variant="ghost"
+                        size="icon"
+                        onClick={handlePlayPause}
+                        disabled={isAudioLoading || memory.transcription_status === "processing"}
+                        className={cn(
+                          "h-12 w-12 rounded-full",
+                          memory.type === "audio"
+                            ? "bg-blue-100 hover:bg-blue-200 dark:bg-blue-900/30 dark:hover:bg-blue-900/50 text-blue-600"
+                            : "bg-orange-100 hover:bg-orange-200 dark:bg-orange-900/30 dark:hover:bg-orange-900/50 text-orange-600"
+                        )}
+                      >
+                        {isAudioLoading ? (
+                          <Loader2 className="h-5 w-5 animate-spin" />
+                        ) : isPlaying ? (
+                          <Pause className="h-5 w-5" />
+                        ) : (
+                          <Play className="h-5 w-5 ml-0.5" />
+                        )}
+                      </Button>
+
+                      {/* Skip Forward */}
+                      <Button
+                        variant="ghost"
+                        size="icon"
+                        onClick={() => handleSkip(10)}
+                        disabled={isAudioLoading || !audioRef.current}
+                        className="h-8 w-8 text-muted-foreground hover:text-foreground"
+                        title="Forward 10 seconds"
+                      >
+                        <SkipForward className="h-4 w-4" />
+                      </Button>
+                    </div>
+
+                    {/* Progress Bar */}
+                    <div
+                      className="relative h-1.5 bg-slate-200 dark:bg-white/10 rounded-full cursor-pointer group"
+                      onClick={handleSeek}
+                    >
+                      <div
+                        className="absolute h-full bg-purple-500 rounded-full transition-all"
+                        style={{
+                          width: `${duration ? (currentTime / duration) * 100 : 0}%`,
+                        }}
+                      />
+                      <div
+                        className="absolute h-3 w-3 bg-purple-600 rounded-full -top-[3px] opacity-0 group-hover:opacity-100 transition-opacity shadow-md"
+                        style={{
+                          left: `calc(${duration ? (currentTime / duration) * 100 : 0}% - 6px)`,
+                        }}
+                      />
+                    </div>
+
+                    {/* Time Display & Playback Speed */}
+                    <div className="flex items-center justify-between text-xs text-muted-foreground">
+                      <span>
+                        {formatDuration(currentTime)} /{" "}
+                        {formatDuration(
+                          duration ||
+                            memory.audio_duration ||
+                            (memory.transcript_segments?.length
+                              ? memory.transcript_segments[
+                                  memory.transcript_segments.length - 1
+                                ].end
+                              : 0)
+                        )}
+                      </span>
+                      <button
+                        onClick={handlePlaybackRateChange}
+                        className="px-2 py-0.5 rounded bg-slate-200 dark:bg-white/10 hover:bg-slate-300 dark:hover:bg-white/15 transition-colors font-medium"
+                      >
+                        {playbackRate}x
+                      </button>
+                    </div>
+
+                    {/* Transcription Status */}
+                    {memory.transcription_status &&
+                      memory.transcription_status !== "completed" &&
+                      (memory.transcription_status === "failed" || !memory.transcript) && (
+                        <div className="flex items-center justify-between">
+                          <span
+                            className={cn(
+                              "inline-flex items-center gap-1.5 px-2 py-0.5 text-[11px] rounded-full font-medium",
+                              memory.transcription_status === "pending" && "bg-muted text-muted-foreground",
+                              memory.transcription_status === "processing" && "bg-muted text-muted-foreground",
+                              memory.transcription_status === "failed" &&
+                                "bg-red-100 text-red-700 dark:bg-red-900/30 dark:text-red-400"
+                            )}
+                          >
+                            {memory.transcription_status === "processing" && (
+                              <Loader2 className="h-3 w-3 animate-spin" />
+                            )}
+                            {memory.transcription_status === "pending"
+                              ? "Pending"
+                              : memory.transcription_status === "processing"
+                                ? "Transcribing..."
+                                : "Failed"}
+                          </span>
+                          {memory.transcription_status === "failed" && (
+                            <Button
+                              variant="outline"
+                              size="sm"
+                              onClick={handleRetryTranscription}
+                              disabled={isRetrying}
+                            >
+                              {isRetrying ? (
+                                <Loader2 className="h-4 w-4 animate-spin" />
+                              ) : (
+                                <RotateCcw className="h-4 w-4" />
+                              )}
+                            </Button>
+                          )}
+                        </div>
+                      )}
+                  </div>
+                </div>
+              )}
+
+              {/* Video Player */}
+              {memory.type === "video" && (
+                <div className="space-y-3">
+                  <div className="p-4 rounded-xl bg-slate-100/50 dark:bg-white/5 space-y-3">
+                    {/* Video Processing Status */}
+                    {memory.video_processing_status && memory.video_processing_status !== "ready" && (
+                      <div className="flex items-center justify-center p-4">
+                        <span
+                          className={cn(
+                            "inline-flex items-center gap-1.5 px-3 py-1.5 text-sm rounded-full font-medium",
+                            memory.video_processing_status === "pending_extraction" &&
+                              "bg-yellow-100 text-yellow-700 dark:bg-yellow-900/30 dark:text-yellow-400",
+                            memory.video_processing_status === "extracting" &&
+                              "bg-blue-100 text-blue-700 dark:bg-blue-900/30 dark:text-blue-400",
+                            memory.video_processing_status === "failed" &&
+                              "bg-red-100 text-red-700 dark:bg-red-900/30 dark:text-red-400"
+                          )}
+                        >
+                          {(memory.video_processing_status === "pending_extraction" || memory.video_processing_status === "extracting") && (
+                            <Loader2 className="h-4 w-4 animate-spin" />
+                          )}
+                          {memory.video_processing_status === "pending_extraction"
+                            ? "Processing video..."
+                            : memory.video_processing_status === "extracting"
+                              ? "Extracting audio..."
+                              : "Processing failed"}
+                        </span>
+                      </div>
+                    )}
+
+                    {/* Video Controls (only when ready) */}
+                    {memory.video_processing_status === "ready" && (
+                      <>
+                        {/* Video/Thumbnail Display */}
+                        <div className="relative aspect-video rounded-lg overflow-hidden bg-black">
+                          {videoSrc ? (
+                            /* Loaded video */
+                            <video
+                              ref={videoRef}
+                              src={videoSrc}
+                              className="w-full h-full object-contain"
+                              onTimeUpdate={(e) => setVideoCurrentTime(e.currentTarget.currentTime)}
+                              onLoadedMetadata={(e) => setVideoDuration(e.currentTarget.duration)}
+                              onEnded={() => setIsVideoPlaying(false)}
+                              onCanPlay={() => {
+                                // Auto-play when first loaded
+                                if (!isVideoPlaying && videoRef.current) {
+                                  videoRef.current.play();
+                                  setIsVideoPlaying(true);
+                                }
+                              }}
+                            />
+                          ) : (
+                            /* Thumbnail preview with play button */
+                            <>
+                              {videoThumbnailUrl ? (
+                                <img
+                                  src={videoThumbnailUrl}
+                                  alt={memory.title || "Video thumbnail"}
+                                  className="w-full h-full object-cover"
+                                />
+                              ) : (
+                                <div className="w-full h-full flex items-center justify-center bg-slate-800">
+                                  <Video className="h-16 w-16 text-slate-600" />
+                                </div>
+                              )}
+                              {/* Play button overlay */}
+                              <button
+                                onClick={handleVideoPlayPause}
+                                disabled={isVideoLoading}
+                                className="absolute inset-0 flex items-center justify-center bg-black/30 hover:bg-black/40 transition-colors"
+                              >
+                                {isVideoLoading ? (
+                                  <Loader2 className="h-16 w-16 text-white animate-spin" />
+                                ) : (
+                                  <div className="w-16 h-16 rounded-full bg-white/90 flex items-center justify-center shadow-lg">
+                                    <Play className="h-8 w-8 text-slate-900 ml-1" />
+                                  </div>
+                                )}
+                              </button>
+                            </>
+                          )}
+                        </div>
+
+                        {/* Controls (only show after video loaded) */}
+                        {videoSrc && (
+                          <>
+                            {/* Controls Row */}
+                            <div className="flex items-center justify-center gap-2">
+                              {/* Skip Back */}
+                              <Button
+                                variant="ghost"
+                                size="icon"
+                                onClick={() => handleVideoSkip(-10)}
+                                disabled={isVideoLoading || !videoRef.current}
+                                className="h-8 w-8 text-muted-foreground hover:text-foreground"
+                                title="Back 10 seconds"
+                              >
+                                <SkipBack className="h-4 w-4" />
+                              </Button>
+
+                              {/* Play/Pause */}
+                              <Button
+                                variant="ghost"
+                                size="icon"
+                                onClick={handleVideoPlayPause}
+                                disabled={isVideoLoading}
+                                className="h-12 w-12 rounded-full bg-purple-100 hover:bg-purple-200 dark:bg-purple-900/30 dark:hover:bg-purple-900/50 text-purple-600"
+                              >
+                                {isVideoLoading ? (
+                                  <Loader2 className="h-5 w-5 animate-spin" />
+                                ) : isVideoPlaying ? (
+                                  <Pause className="h-5 w-5" />
+                                ) : (
+                                  <Play className="h-5 w-5 ml-0.5" />
+                                )}
+                              </Button>
+
+                              {/* Skip Forward */}
+                              <Button
+                                variant="ghost"
+                                size="icon"
+                                onClick={() => handleVideoSkip(10)}
+                                disabled={isVideoLoading || !videoRef.current}
+                                className="h-8 w-8 text-muted-foreground hover:text-foreground"
+                                title="Forward 10 seconds"
+                              >
+                                <SkipForward className="h-4 w-4" />
+                              </Button>
+                            </div>
+
+                            {/* Progress Bar */}
+                            <div
+                              className="relative h-1.5 bg-slate-200 dark:bg-white/10 rounded-full cursor-pointer group"
+                              onClick={handleVideoSeek}
+                            >
+                              <div
+                                className="absolute h-full bg-purple-500 rounded-full transition-all"
+                                style={{
+                                  width: `${videoDuration ? (videoCurrentTime / videoDuration) * 100 : 0}%`,
+                                }}
+                              />
+                              <div
+                                className="absolute h-3 w-3 bg-purple-600 rounded-full -top-[3px] opacity-0 group-hover:opacity-100 transition-opacity shadow-md"
+                                style={{
+                                  left: `calc(${videoDuration ? (videoCurrentTime / videoDuration) * 100 : 0}% - 6px)`,
+                                }}
+                              />
+                            </div>
+
+                            {/* Time Display & Playback Speed */}
+                            <div className="flex items-center justify-between text-xs text-muted-foreground">
+                              <span>
+                                {formatDuration(videoCurrentTime)} / {formatDuration(videoDuration || memory.video_duration || 0)}
+                              </span>
+                              <button
+                                onClick={handleVideoPlaybackRateChange}
+                                className="px-2 py-0.5 rounded bg-slate-200 dark:bg-white/10 hover:bg-slate-300 dark:hover:bg-white/15 transition-colors font-medium"
+                              >
+                                {videoPlaybackRate}x
+                              </button>
+                            </div>
+                          </>
+                        )}
+                      </>
+                    )}
+
+                    {/* Transcription Status */}
+                    {memory.video_processing_status === "ready" && memory.transcription_status && memory.transcription_status !== "completed" && (memory.transcription_status === "failed" || !memory.transcript) && (
+                      <div className="flex items-center justify-between">
+                        <span
+                          className={cn(
+                            "inline-flex items-center gap-1.5 px-2 py-0.5 text-[11px] rounded-full font-medium",
+                            memory.transcription_status === "pending" && "bg-muted text-muted-foreground",
+                            memory.transcription_status === "processing" && "bg-muted text-muted-foreground",
+                            memory.transcription_status === "failed" &&
+                              "bg-red-100 text-red-700 dark:bg-red-900/30 dark:text-red-400"
+                          )}
+                        >
+                          {memory.transcription_status === "processing" && (
+                            <Loader2 className="h-3 w-3 animate-spin" />
+                          )}
+                          {memory.transcription_status === "pending"
+                            ? "Pending"
+                            : memory.transcription_status === "processing"
+                              ? "Transcribing..."
+                              : "Failed"}
+                        </span>
+                        {memory.transcription_status === "failed" && (
+                          <Button
+                            variant="outline"
+                            size="sm"
+                            onClick={handleRetryTranscription}
+                            disabled={isRetrying}
+                          >
+                            {isRetrying ? (
+                              <Loader2 className="h-4 w-4 animate-spin" />
+                            ) : (
+                              <RotateCcw className="h-4 w-4" />
+                            )}
+                          </Button>
+                        )}
+                      </div>
+                    )}
+                  </div>
+                </div>
+              )}
+
+              {/* Transcript Section (for audio and video types) */}
+              {(memory.type === "voice_memo" || memory.type === "audio" || memory.type === "voice" || memory.type === "video") && memory.transcript && (
+                <div className="space-y-2">
+                  <div className="flex items-center justify-between">
+                    <button
+                      className="flex items-center gap-2"
+                      onClick={() => setShowFullTranscript(!showFullTranscript)}
+                    >
+                      <span className="text-sm font-medium">Transcript</span>
+                      {showFullTranscript ? (
+                        <ChevronUp className="h-4 w-4 text-muted-foreground" />
+                      ) : (
+                        <ChevronDown className="h-4 w-4 text-muted-foreground" />
+                      )}
+                    </button>
+                    <Button
+                      variant="ghost"
+                      size="icon"
+                      onClick={handleCopyTranscript}
+                      className="h-7 w-7"
+                      title="Copy transcript"
+                    >
+                      {copiedTranscript ? (
+                        <Check className="h-3.5 w-3.5 text-green-500" />
+                      ) : (
+                        <Copy className="h-3.5 w-3.5" />
+                      )}
+                    </Button>
+                  </div>
+                  {memory.transcript_segments &&
+                  memory.transcript_segments.length > 0 ? (
+                    // Transcript with timestamps - show in both collapsed/expanded
+                    <div
+                      className={cn(
+                        "relative text-sm p-3 rounded-lg bg-slate-50 dark:bg-white/5",
+                        showFullTranscript
+                          ? "max-h-[300px] overflow-y-auto"
+                          : "max-h-[5.5rem] overflow-hidden"
+                      )}
+                    >
+                      <div className="space-y-2">
+                        {memory.transcript_segments.map((segment, index) => {
+                          const playTime = memory.type === "video" ? videoCurrentTime : currentTime;
+                          const isActive =
+                            playTime >= segment.start &&
+                            playTime < segment.end;
+                          return (
+                            <div
+                              key={index}
+                              className="group flex gap-2 items-start"
+                            >
+                              <button
+                                onClick={() => handleSeekToTime(segment.start)}
+                                className={cn(
+                                  "flex-shrink-0 text-[11px] font-mono px-1.5 py-0.5 rounded",
+                                  "transition-colors",
+                                  isActive
+                                    ? "bg-purple-100 text-purple-700 dark:bg-purple-900/50 dark:text-purple-300"
+                                    : "text-muted-foreground hover:bg-purple-50 hover:text-purple-600 dark:hover:bg-purple-900/30 dark:hover:text-purple-400"
+                                )}
+                                title={`Jump to ${formatDuration(segment.start)}`}
+                              >
+                                {formatDuration(segment.start)}
+                              </button>
+                              <span
+                                className={cn(
+                                  "transition-colors",
+                                  isActive
+                                    ? "text-foreground"
+                                    : "text-muted-foreground"
+                                )}
+                              >
+                                {segment.text}
+                              </span>
+                            </div>
+                          );
+                        })}
+                      </div>
+                      {/* Fade gradient when collapsed */}
+                      {!showFullTranscript && (
+                        <div className="absolute bottom-0 left-0 right-0 h-8 bg-gradient-to-t from-slate-50 dark:from-zinc-900 to-transparent rounded-b-lg pointer-events-none" />
+                      )}
+                    </div>
+                  ) : (
+                    // Fallback: plain text for memories without segments
+                    <div className="relative">
+                      <div
+                        className={cn(
+                          "text-sm text-muted-foreground leading-relaxed p-3 rounded-lg bg-slate-50 dark:bg-white/5",
+                          showFullTranscript
+                            ? "max-h-[300px] overflow-y-auto"
+                            : "line-clamp-3"
+                        )}
+                      >
+                        {memory.transcript}
+                      </div>
+                      {!showFullTranscript && (
+                        <div className="absolute bottom-0 left-0 right-0 h-8 bg-gradient-to-t from-slate-50 dark:from-zinc-900 to-transparent rounded-b-lg pointer-events-none" />
+                      )}
+                    </div>
+                  )}
+                </div>
+              )}
+
               {/* Summary Section */}
               <div className="space-y-2">
                 <div className="flex items-center gap-2">
diff --git a/app/src/components/VideoCard.tsx b/app/src/components/VideoCard.tsx
new file mode 100644
index 0000000..3ab8d0d
--- /dev/null
+++ b/app/src/components/VideoCard.tsx
@@ -0,0 +1,309 @@
+import { useState, useRef, useEffect } from "react";
+import { Button } from "@/components/ui/button";
+import {
+  Video,
+  X,
+  PanelRight,
+  Play,
+  Loader2,
+} from "lucide-react";
+import { cn } from "@/lib/utils";
+import { getAppToken } from "@/lib/api";
+import { API_BASE_URL } from "@/constants";
+import type { TranscriptionStatus, VideoProcessingStatus } from "@/types/chat";
+
+interface MemoryTag {
+  id: number;
+  name: string;
+  source: "ai" | "manual";
+}
+
+interface VideoMemory {
+  id: number;
+  type: "video";
+  title: string;
+  summary: string | null;
+  tags: MemoryTag[];
+  created_at: string;
+  video_duration?: number;
+  video_width?: number;
+  video_height?: number;
+  thumbnail_path?: string;
+  video_processing_status?: VideoProcessingStatus;
+  transcription_status?: TranscriptionStatus;
+}
+
+interface VideoCardProps {
+  memory: VideoMemory;
+  onRemoveTag: (memoryId: number, tagId: number) => void;
+  onExpand: (id: number) => void;
+  formatDate: (date: string) => string;
+}
+
+function formatDuration(seconds: number | undefined): string {
+  if (seconds === undefined || seconds === null) return "0:00";
+  const totalSeconds = Math.floor(seconds);
+  const hours = Math.floor(totalSeconds / 3600);
+  const minutes = Math.floor((totalSeconds % 3600) / 60);
+  const secs = totalSeconds % 60;
+
+  if (hours > 0) {
+    return `${hours}:${minutes.toString().padStart(2, "0")}:${secs.toString().padStart(2, "0")}`;
+  }
+  return `${minutes}:${secs.toString().padStart(2, "0")}`;
+}
+
+function ProcessingStatusBadge({
+  videoStatus,
+  transcriptionStatus,
+}: {
+  videoStatus?: VideoProcessingStatus;
+  transcriptionStatus?: TranscriptionStatus;
+}) {
+  // Show video processing status if not ready
+  if (videoStatus && videoStatus !== "ready") {
+    const statusConfig = {
+      pending_extraction: {
+        label: "Processing...",
+        className: "bg-muted text-muted-foreground",
+      },
+      extracting: {
+        label: "Extracting Audio...",
+        className: "bg-muted text-muted-foreground",
+      },
+      failed: {
+        label: "Processing Failed",
+        className: "bg-red-100 text-red-700 dark:bg-red-900/30 dark:text-red-400",
+      },
+    };
+    const config = statusConfig[videoStatus] || statusConfig.pending_extraction;
+
+    return (
+      <span
+        className={cn(
+          "inline-flex items-center gap-1.5 px-2 py-0.5 text-[11px] rounded-full font-medium",
+          config.className
+        )}
+      >
+        {(videoStatus === "pending_extraction" || videoStatus === "extracting") && (
+          <Loader2 className="h-3 w-3 animate-spin" />
+        )}
+        {config.label}
+      </span>
+    );
+  }
+
+  // Show transcription status if video is ready
+  if (!transcriptionStatus || transcriptionStatus === "completed") return null;
+
+  const statusConfig = {
+    pending: {
+      label: "Pending Transcription",
+      className: "bg-muted text-muted-foreground",
+    },
+    processing: {
+      label: "Transcribing...",
+      className: "bg-muted text-muted-foreground",
+    },
+    failed: {
+      label: "Transcription Failed",
+      className: "bg-red-100 text-red-700 dark:bg-red-900/30 dark:text-red-400",
+    },
+  };
+
+  const config = statusConfig[transcriptionStatus] || statusConfig.pending;
+
+  return (
+    <span
+      className={cn(
+        "inline-flex items-center gap-1.5 px-2 py-0.5 text-[11px] rounded-full font-medium",
+        config.className
+      )}
+    >
+      {transcriptionStatus === "processing" && <Loader2 className="h-3 w-3 animate-spin" />}
+      {config.label}
+    </span>
+  );
+}
+
+export function VideoCard({ memory, onRemoveTag, onExpand, formatDate }: VideoCardProps) {
+  const [thumbnailUrl, setThumbnailUrl] = useState<string | null>(null);
+  const [isLoadingThumbnail, setIsLoadingThumbnail] = useState(false);
+  const thumbnailLoadedRef = useRef(false);
+
+  // Load thumbnail on mount
+  useEffect(() => {
+    if (!memory.thumbnail_path || thumbnailLoadedRef.current) return;
+
+    thumbnailLoadedRef.current = true;
+    setIsLoadingThumbnail(true);
+
+    const token = getAppToken();
+    fetch(`${API_BASE_URL}/api/video/${memory.id}/thumbnail`, {
+      headers: token ? { "X-App-Token": token } : {},
+    })
+      .then((response) => {
+        if (response.ok) return response.blob();
+        throw new Error("Failed to load thumbnail");
+      })
+      .then((blob) => {
+        const url = URL.createObjectURL(blob);
+        setThumbnailUrl(url);
+      })
+      .catch((error) => {
+        console.error("Failed to load thumbnail:", error);
+      })
+      .finally(() => {
+        setIsLoadingThumbnail(false);
+      });
+
+    return () => {
+      if (thumbnailUrl) {
+        URL.revokeObjectURL(thumbnailUrl);
+      }
+    };
+  }, [memory.id, memory.thumbnail_path]);
+
+  // Cleanup blob URL on unmount
+  useEffect(() => {
+    return () => {
+      if (thumbnailUrl) {
+        URL.revokeObjectURL(thumbnailUrl);
+      }
+    };
+  }, [thumbnailUrl]);
+
+  return (
+    <div
+      className={cn(
+        "group relative p-5 rounded-2xl",
+        // Glassmorphism - light mode
+        "bg-white/70 dark:bg-white/5 backdrop-blur-md",
+        "border border-white/60 dark:border-white/10",
+        "shadow-sm shadow-black/5 dark:shadow-black/20",
+        // Hover lift effect
+        "hover:shadow-lg hover:shadow-black/10 dark:hover:shadow-black/30",
+        "hover:-translate-y-0.5",
+        "transition-all duration-200"
+      )}
+    >
+      {/* Hover actions - top right */}
+      <div
+        className={cn(
+          "absolute top-3 right-3 flex gap-0.5 z-10",
+          "opacity-0 group-hover:opacity-100",
+          "transition-opacity duration-200"
+        )}
+      >
+        <Button
+          variant="ghost"
+          size="icon"
+          onClick={() => onExpand(memory.id)}
+          className="h-7 w-7 text-muted-foreground hover:text-foreground bg-background/80 backdrop-blur-sm"
+          title="View Details"
+        >
+          <PanelRight className="h-3.5 w-3.5" />
+        </Button>
+      </div>
+
+      {/* Thumbnail */}
+      <div
+        className="relative aspect-video rounded-lg overflow-hidden mb-3 bg-slate-100 dark:bg-slate-800 cursor-pointer"
+        onClick={() => onExpand(memory.id)}
+      >
+        {thumbnailUrl ? (
+          <img
+            src={thumbnailUrl}
+            alt={memory.title}
+            className="w-full h-full object-cover"
+          />
+        ) : isLoadingThumbnail ? (
+          <div className="w-full h-full flex items-center justify-center">
+            <Loader2 className="h-8 w-8 text-muted-foreground animate-spin" />
+          </div>
+        ) : (
+          <div className="w-full h-full flex items-center justify-center">
+            <Video className="h-12 w-12 text-muted-foreground/50" />
+          </div>
+        )}
+
+        {/* Play overlay */}
+        <div className="absolute inset-0 flex items-center justify-center bg-black/20 opacity-0 group-hover:opacity-100 transition-opacity">
+          <div className="w-12 h-12 rounded-full bg-white/90 flex items-center justify-center">
+            <Play className="h-6 w-6 text-slate-900 ml-0.5" />
+          </div>
+        </div>
+
+        {/* Duration badge */}
+        {memory.video_duration !== undefined && (
+          <div className="absolute bottom-2 right-2 px-1.5 py-0.5 rounded bg-black/70 text-white text-xs font-medium">
+            {formatDuration(memory.video_duration)}
+          </div>
+        )}
+      </div>
+
+      {/* Header: Video icon + Title */}
+      <div className="flex items-start gap-2.5 mb-2">
+        <div className="mt-0.5">
+          <Video className="h-4 w-4 text-purple-600" />
+        </div>
+        <h3 className="font-medium text-[15px] leading-snug line-clamp-2">
+          {memory.title || "Video"}
+        </h3>
+      </div>
+
+      {/* Processing status */}
+      <div className="mb-2">
+        <ProcessingStatusBadge
+          videoStatus={memory.video_processing_status}
+          transcriptionStatus={memory.transcription_status}
+        />
+      </div>
+
+      {/* Summary */}
+      {memory.summary ? (
+        <p className="text-sm text-muted-foreground leading-relaxed mb-4 line-clamp-2">
+          {memory.summary}
+        </p>
+      ) : memory.transcription_status === "completed" ? (
+        <p className="text-sm text-muted-foreground/50 italic mb-4">
+          Generating summary...
+        </p>
+      ) : null}
+
+      {/* Tags */}
+      {memory.tags.length > 0 && (
+        <div className="flex flex-wrap items-center gap-1.5 mb-3">
+          {memory.tags.map((tag) => (
+            <span
+              key={tag.id}
+              className={cn(
+                "inline-flex items-center gap-1 px-2 py-0.5 text-[11px] rounded-full",
+                "transition-colors",
+                tag.source === "ai"
+                  ? "bg-slate-100 dark:bg-white/10 text-slate-500 dark:text-slate-400"
+                  : "bg-primary/10 text-primary"
+              )}
+            >
+              {tag.name}
+              {tag.source === "manual" && (
+                <button
+                  onClick={(e) => {
+                    e.stopPropagation();
+                    onRemoveTag(memory.id, tag.id);
+                  }}
+                  className="hover:text-primary/70 -mr-0.5"
+                >
+                  <X className="h-3 w-3" />
+                </button>
+              )}
+            </span>
+          ))}
+        </div>
+      )}
+
+      {/* Date */}
+      <p className="text-[11px] text-muted-foreground/70">{formatDate(memory.created_at)}</p>
+    </div>
+  );
+}
diff --git a/app/src/components/VoiceMemoCard.tsx b/app/src/components/VoiceMemoCard.tsx
new file mode 100644
index 0000000..1131591
--- /dev/null
+++ b/app/src/components/VoiceMemoCard.tsx
@@ -0,0 +1,252 @@
+import { useState, useRef, useEffect } from "react";
+import { Button } from "@/components/ui/button";
+import {
+  Mic,
+  X,
+  PanelRight,
+  Play,
+  Pause,
+  Loader2,
+} from "lucide-react";
+import { cn } from "@/lib/utils";
+import { getAppToken } from "@/lib/api";
+import { API_BASE_URL } from "@/constants";
+import type { TranscriptionStatus } from "@/types/chat";
+
+interface MemoryTag {
+  id: number;
+  name: string;
+  source: "ai" | "manual";
+}
+
+interface VoiceMemo {
+  id: number;
+  type: "voice_memo" | "voice"; // "voice" for backwards compat
+  title: string;
+  summary: string | null;
+  tags: MemoryTag[];
+  created_at: string;
+  audio_duration?: number;
+  transcription_status?: TranscriptionStatus;
+}
+
+interface VoiceMemoCardProps {
+  memory: VoiceMemo;
+  onRemoveTag: (memoryId: number, tagId: number) => void;
+  onExpand: (id: number) => void;
+  formatDate: (date: string) => string;
+}
+
+function formatDuration(seconds: number | undefined): string {
+  if (seconds === undefined || seconds === null) return "0:00";
+  const totalSeconds = Math.floor(seconds);
+  const minutes = Math.floor(totalSeconds / 60);
+  const secs = totalSeconds % 60;
+  return `${minutes}:${secs.toString().padStart(2, "0")}`;
+}
+
+function TranscriptionStatusBadge({ status }: { status?: TranscriptionStatus }) {
+  if (!status || status === "completed") return null;
+
+  const statusConfig = {
+    pending: { label: "Pending", className: "bg-muted text-muted-foreground" },
+    processing: { label: "Transcribing...", className: "bg-muted text-muted-foreground" },
+    failed: { label: "Failed", className: "bg-red-100 text-red-700 dark:bg-red-900/30 dark:text-red-400" },
+  };
+
+  const config = statusConfig[status] || statusConfig.pending;
+
+  return (
+    <span className={cn(
+      "inline-flex items-center gap-1.5 px-2 py-0.5 text-[11px] rounded-full font-medium",
+      config.className
+    )}>
+      {status === "processing" && <Loader2 className="h-3 w-3 animate-spin" />}
+      {config.label}
+    </span>
+  );
+}
+
+export function VoiceMemoCard({
+  memory,
+  onRemoveTag,
+  onExpand,
+  formatDate,
+}: VoiceMemoCardProps) {
+  const [isPlaying, setIsPlaying] = useState(false);
+  const [isLoading, setIsLoading] = useState(false);
+  const audioRef = useRef<HTMLAudioElement | null>(null);
+  const blobUrlRef = useRef<string | null>(null);
+
+  // Cleanup audio element and blob URL on unmount to prevent memory leaks
+  useEffect(() => {
+    return () => {
+      // Pause and clean up audio element
+      if (audioRef.current) {
+        audioRef.current.pause();
+        audioRef.current.src = "";
+        audioRef.current = null;
+      }
+      // Revoke blob URL
+      if (blobUrlRef.current) {
+        URL.revokeObjectURL(blobUrlRef.current);
+        blobUrlRef.current = null;
+      }
+    };
+  }, []);
+
+  const handlePlayPause = async (e: React.MouseEvent) => {
+    e.stopPropagation();
+
+    if (!audioRef.current) {
+      // Create audio element on first play
+      setIsLoading(true);
+      const audio = new Audio();
+
+      // Fetch audio with auth token
+      const token = getAppToken();
+      const response = await fetch(`${API_BASE_URL}/api/media/${memory.id}/stream`, {
+        headers: token ? { "X-App-Token": token } : {},
+      });
+
+      if (!response.ok) {
+        console.error("Failed to load audio");
+        setIsLoading(false);
+        return;
+      }
+
+      const blob = await response.blob();
+      const blobUrl = URL.createObjectURL(blob);
+      blobUrlRef.current = blobUrl;
+      audio.src = blobUrl;
+      audio.onended = () => setIsPlaying(false);
+      audio.oncanplay = () => setIsLoading(false);
+      audioRef.current = audio;
+    }
+
+    if (isPlaying) {
+      audioRef.current?.pause();
+      setIsPlaying(false);
+    } else {
+      audioRef.current?.play();
+      setIsPlaying(true);
+    }
+  };
+
+  return (
+    <div
+      className={cn(
+        "group relative p-5 rounded-2xl",
+        // Glassmorphism - light mode
+        "bg-white/70 dark:bg-white/5 backdrop-blur-md",
+        "border border-white/60 dark:border-white/10",
+        "shadow-sm shadow-black/5 dark:shadow-black/20",
+        // Hover lift effect
+        "hover:shadow-lg hover:shadow-black/10 dark:hover:shadow-black/30",
+        "hover:-translate-y-0.5",
+        "transition-all duration-200"
+      )}
+    >
+      {/* Hover actions - top right */}
+      <div
+        className={cn(
+          "absolute top-3 right-3 flex gap-0.5",
+          "opacity-0 group-hover:opacity-100",
+          "transition-opacity duration-200"
+        )}
+      >
+        <Button
+          variant="ghost"
+          size="icon"
+          onClick={() => onExpand(memory.id)}
+          className="h-7 w-7 text-muted-foreground hover:text-foreground"
+          title="View Details"
+        >
+          <PanelRight className="h-3.5 w-3.5" />
+        </Button>
+      </div>
+
+      {/* Header: Voice icon + Title */}
+      <div className="flex items-start gap-2.5 mb-3 pr-14">
+        <div className="mt-0.5">
+          <Mic className="h-4 w-4 text-orange-600" />
+        </div>
+        <h3 className="font-medium text-[15px] leading-snug">
+          {memory.title || "Voice Memo"}
+        </h3>
+      </div>
+
+      {/* Audio Player */}
+      <div className="flex items-center gap-3 mb-3 p-2.5 rounded-lg bg-slate-100/50 dark:bg-white/5">
+        <Button
+          variant="ghost"
+          size="icon"
+          onClick={handlePlayPause}
+          disabled={isLoading || memory.transcription_status === "processing"}
+          className="h-9 w-9 rounded-full bg-orange-100 hover:bg-orange-200 dark:bg-orange-900/30 dark:hover:bg-orange-900/50 text-orange-600"
+        >
+          {isLoading ? (
+            <Loader2 className="h-4 w-4 animate-spin" />
+          ) : isPlaying ? (
+            <Pause className="h-4 w-4" />
+          ) : (
+            <Play className="h-4 w-4 ml-0.5" />
+          )}
+        </Button>
+        <div className="flex-1">
+          <div className="text-sm font-medium">
+            {formatDuration(memory.audio_duration)}
+          </div>
+          <TranscriptionStatusBadge status={memory.transcription_status} />
+        </div>
+      </div>
+
+      {/* Summary */}
+      {memory.summary ? (
+        <p className="text-sm text-muted-foreground leading-relaxed mb-4 line-clamp-3">
+          {memory.summary}
+        </p>
+      ) : memory.transcription_status === "completed" ? (
+        <p className="text-sm text-muted-foreground/50 italic mb-4">
+          Generating summary...
+        </p>
+      ) : null}
+
+      {/* Tags */}
+      {memory.tags.length > 0 && (
+        <div className="flex flex-wrap items-center gap-1.5 mb-3">
+          {memory.tags.map((tag) => (
+            <span
+              key={tag.id}
+              className={cn(
+                "inline-flex items-center gap-1 px-2 py-0.5 text-[11px] rounded-full",
+                "transition-colors",
+                tag.source === "ai"
+                  ? "bg-slate-100 dark:bg-white/10 text-slate-500 dark:text-slate-400"
+                  : "bg-primary/10 text-primary"
+              )}
+            >
+              {tag.name}
+              {tag.source === "manual" && (
+                <button
+                  onClick={(e) => {
+                    e.stopPropagation();
+                    onRemoveTag(memory.id, tag.id);
+                  }}
+                  className="hover:text-primary/70 -mr-0.5"
+                >
+                  <X className="h-3 w-3" />
+                </button>
+              )}
+            </span>
+          ))}
+        </div>
+      )}
+
+      {/* Date */}
+      <p className="text-[11px] text-muted-foreground/70">
+        {formatDate(memory.created_at)}
+      </p>
+    </div>
+  );
+}
diff --git a/app/src/global.d.ts b/app/src/global.d.ts
new file mode 100644
index 0000000..916402d
--- /dev/null
+++ b/app/src/global.d.ts
@@ -0,0 +1,42 @@
+/**
+ * Global TypeScript declarations for Electron IPC APIs.
+ */
+
+export {};
+
+declare global {
+  interface Window {
+    electronAPI?: {
+      // Ollama management
+      checkOllama: () => Promise<{ installed: boolean; running: boolean }>;
+      downloadOllama: () => Promise<{ success: boolean; error?: string }>;
+      pullModel: (model: string) => Promise<{ success: boolean; error?: string }>;
+      onOllamaDownloadProgress: (callback: (data: { progress: number; stage: string }) => void) => void;
+      onModelPullProgress: (callback: (data: { progress?: number; status: string }) => void) => void;
+      removeOllamaDownloadProgress: () => void;
+      removeModelPullProgress: () => void;
+      // Backend status handlers
+      onBackendReady: (callback: (data?: { token?: string }) => void) => void;
+      onBackendError: (callback: (data: { message: string }) => void) => void;
+      removeBackendListeners: () => void;
+      // App token for API authentication
+      getAppToken: () => string | null;
+      // Auto-update handlers
+      onUpdateDownloaded: (callback: (version: string) => void) => void;
+      removeUpdateListeners: () => void;
+      installUpdate: () => Promise<void>;
+      // Main window management
+      openMainWindow: () => Promise<void>;
+      // Recording window management
+      openRecordingWindow: () => Promise<void>;
+      setRecordingState: (isRecording: boolean) => void;
+      // Video processing (native FFmpeg)
+      // Note: Buffer objects from Node.js serialize to Uint8Array over IPC
+      writeTempFile: (data: ArrayBuffer, filename: string) => Promise<{ success: boolean; path?: string; error?: string }>;
+      processVideo: (videoPath: string) => Promise<{ success: boolean; audio?: Uint8Array; thumbnail?: Uint8Array | null; error?: string }>;
+      deleteTempFile: (path: string) => Promise<{ success: boolean; error?: string }>;
+      onVideoProcessProgress: (callback: (data: { progress: number; stage: string }) => void) => void;
+      removeVideoProcessListeners: () => void;
+    };
+  }
+}
diff --git a/app/src/hooks/useVideoUpload.ts b/app/src/hooks/useVideoUpload.ts
new file mode 100644
index 0000000..22fde1f
--- /dev/null
+++ b/app/src/hooks/useVideoUpload.ts
@@ -0,0 +1,229 @@
+/**
+ * Hook for handling video upload with native FFmpeg audio extraction.
+ *
+ * Pipeline:
+ * 1. Get metadata (duration, dimensions) via HTML5 video
+ * 2. Write video to temp file via IPC (for native FFmpeg)
+ * 3. Upload video to POST /api/video/upload (in parallel with processing)
+ * 4. Process video via native FFmpeg (extract audio + thumbnail)
+ * 5. Upload audio to POST /api/video/{id}/audio
+ * 6. Upload thumbnail to POST /api/video/{id}/thumbnail
+ * 7. Cleanup temp file
+ */
+
+import { useState, useCallback, useEffect } from "react";
+import { apiFetch } from "@/lib/api";
+import { getVideoMetadata, isVideoFile } from "@/lib/ffmpeg";
+
+export type VideoUploadStatus =
+  | "idle"
+  | "getting_metadata"
+  | "uploading_video"
+  | "processing_video"
+  | "extracting_audio"
+  | "generating_thumbnail"
+  | "uploading_audio"
+  | "uploading_thumbnail"
+  | "done"
+  | "error";
+
+export interface VideoUploadProgress {
+  status: VideoUploadStatus;
+  progress: number; // 0-100
+  message: string;
+  error?: string;
+}
+
+export interface VideoUploadResult {
+  memoryId: number;
+  success: boolean;
+  error?: string;
+}
+
+export function useVideoUpload() {
+  const [uploadProgress, setUploadProgress] = useState<VideoUploadProgress>({
+    status: "idle",
+    progress: 0,
+    message: "",
+  });
+
+  const updateProgress = useCallback(
+    (status: VideoUploadStatus, progress: number, message: string, error?: string) => {
+      setUploadProgress({ status, progress, message, error });
+    },
+    []
+  );
+
+  // Set up progress listener for native FFmpeg processing
+  useEffect(() => {
+    const electronAPI = window.electronAPI;
+    if (!electronAPI) return;
+
+    electronAPI.onVideoProcessProgress((data) => {
+      const stageMessages: Record<string, string> = {
+        extracting_audio: "Extracting audio...",
+        generating_thumbnail: "Generating thumbnail...",
+        done: "Processing complete",
+      };
+
+      const message = stageMessages[data.stage] || "Processing video...";
+      const status = data.stage === "extracting_audio" ? "extracting_audio" :
+                     data.stage === "generating_thumbnail" ? "generating_thumbnail" :
+                     "processing_video";
+
+      // Map FFmpeg progress (0-100) to overall progress (30-70%)
+      const overallProgress = 30 + Math.round(data.progress * 0.4);
+      setUploadProgress(prev => {
+        // Only update if we're in a processing state
+        if (prev.status === "processing_video" || prev.status === "extracting_audio" || prev.status === "generating_thumbnail") {
+          return { status, progress: overallProgress, message };
+        }
+        return prev;
+      });
+    });
+
+    return () => {
+      electronAPI.removeVideoProcessListeners();
+    };
+  }, []);
+
+  const uploadVideo = useCallback(
+    async (file: File): Promise<VideoUploadResult> => {
+      const electronAPI = window.electronAPI;
+      if (!electronAPI) {
+        const error = "Video upload requires Electron environment";
+        updateProgress("error", 0, error, error);
+        return { memoryId: 0, success: false, error };
+      }
+
+      if (!isVideoFile(file)) {
+        const error = "Unsupported video format";
+        updateProgress("error", 0, error, error);
+        return { memoryId: 0, success: false, error };
+      }
+
+      let tempPath: string | null = null;
+
+      try {
+        // 1. Read file and get metadata
+        updateProgress("getting_metadata", 5, "Reading video file...");
+        const videoArrayBuffer = await file.arrayBuffer();
+        const videoBlob = new Blob([videoArrayBuffer], { type: file.type });
+        const metadata = await getVideoMetadata(videoBlob);
+
+        // 2. Write video to temp file for native FFmpeg processing
+        updateProgress("getting_metadata", 10, "Preparing video for processing...");
+        const writeResult = await electronAPI.writeTempFile(videoArrayBuffer, file.name);
+        if (!writeResult.success || !writeResult.path) {
+          throw new Error(writeResult.error || "Failed to write temp file");
+        }
+        tempPath = writeResult.path;
+
+        // 3. Upload video to backend (run this while processing starts)
+        updateProgress("uploading_video", 15, "Uploading video...");
+        const videoFormData = new FormData();
+        videoFormData.append("file", new File([videoArrayBuffer], file.name, { type: file.type }));
+        videoFormData.append("duration", String(metadata.duration));
+        videoFormData.append("width", String(metadata.width));
+        videoFormData.append("height", String(metadata.height));
+
+        const videoResponse = await apiFetch("/api/video/upload", {
+          method: "POST",
+          body: videoFormData,
+        });
+
+        if (!videoResponse.ok) {
+          const errorData = await videoResponse.json().catch(() => ({}));
+          throw new Error(errorData.detail || "Failed to upload video");
+        }
+
+        const videoData = await videoResponse.json();
+        const memoryId = videoData.id;
+
+        // 4. Process video with native FFmpeg (extract audio + thumbnail)
+        updateProgress("processing_video", 30, "Processing video with FFmpeg...");
+        const processResult = await electronAPI.processVideo(tempPath);
+
+        if (!processResult.success) {
+          throw new Error(processResult.error || "Failed to process video");
+        }
+
+        // 5. Upload audio
+        updateProgress("uploading_audio", 75, "Uploading audio...");
+        if (processResult.audio) {
+          const audioFormData = new FormData();
+          audioFormData.append("file", new File([processResult.audio], "audio.m4a", { type: "audio/mp4" }));
+
+          const audioResponse = await apiFetch(`/api/video/${memoryId}/audio`, {
+            method: "POST",
+            body: audioFormData,
+          });
+
+          if (!audioResponse.ok) {
+            const errorData = await audioResponse.json().catch(() => ({}));
+            throw new Error(errorData.detail || "Failed to upload audio");
+          }
+        }
+
+        // 6. Upload thumbnail (only if generation succeeded)
+        if (processResult.thumbnail) {
+          updateProgress("uploading_thumbnail", 90, "Uploading thumbnail...");
+          const thumbnailFormData = new FormData();
+          thumbnailFormData.append(
+            "file",
+            new File([processResult.thumbnail], "thumbnail.jpg", { type: "image/jpeg" })
+          );
+
+          const thumbnailResponse = await apiFetch(`/api/video/${memoryId}/thumbnail`, {
+            method: "POST",
+            body: thumbnailFormData,
+          });
+
+          if (!thumbnailResponse.ok) {
+            // Thumbnail upload failure is non-critical
+            console.warn("Failed to upload thumbnail:", await thumbnailResponse.text());
+          }
+        } else {
+          console.warn("Skipping thumbnail upload - generation failed");
+        }
+
+        // 7. Cleanup temp file
+        if (tempPath) {
+          await electronAPI.deleteTempFile(tempPath).catch(console.warn);
+        }
+
+        // Done!
+        updateProgress("done", 100, "Video uploaded successfully");
+        return { memoryId, success: true };
+      } catch (error) {
+        // Cleanup on error
+        if (tempPath && electronAPI) {
+          await electronAPI.deleteTempFile(tempPath).catch(console.warn);
+        }
+
+        const errorMessage = error instanceof Error ? error.message : "Upload failed";
+        updateProgress("error", 0, errorMessage, errorMessage);
+        return { memoryId: 0, success: false, error: errorMessage };
+      }
+    },
+    [updateProgress]
+  );
+
+  const reset = useCallback(() => {
+    setUploadProgress({
+      status: "idle",
+      progress: 0,
+      message: "",
+    });
+  }, []);
+
+  return {
+    uploadVideo,
+    uploadProgress,
+    reset,
+    isUploading:
+      uploadProgress.status !== "idle" &&
+      uploadProgress.status !== "done" &&
+      uploadProgress.status !== "error",
+  };
+}
diff --git a/app/src/lib/ffmpeg.ts b/app/src/lib/ffmpeg.ts
new file mode 100644
index 0000000..30dd646
--- /dev/null
+++ b/app/src/lib/ffmpeg.ts
@@ -0,0 +1,97 @@
+/**
+ * Video utility functions for client-side metadata extraction and validation.
+ *
+ * Note: Audio extraction and thumbnail generation are now handled by native FFmpeg
+ * in the Electron main process via IPC (see useVideoUpload hook).
+ */
+
+/**
+ * Video metadata from HTML5 video element.
+ */
+export interface VideoMetadata {
+  duration: number;
+  width: number;
+  height: number;
+}
+
+// Timeout for video metadata extraction (30 seconds)
+const METADATA_TIMEOUT_MS = 30000;
+
+/**
+ * Get video metadata using HTML5 video element.
+ * This is faster than using FFmpeg for basic metadata.
+ *
+ * @param videoData - The video file or blob to get metadata from
+ * @returns Video metadata (duration, width, height)
+ */
+export function getVideoMetadata(videoData: File | Blob): Promise<VideoMetadata> {
+  return new Promise((resolve, reject) => {
+    const video = document.createElement("video");
+    const objectUrl = URL.createObjectURL(videoData);
+    let settled = false;
+
+    const cleanup = () => {
+      URL.revokeObjectURL(objectUrl);
+      video.src = "";
+      video.load(); // Release resources
+    };
+
+    // Timeout to prevent hanging indefinitely
+    const timeoutId = setTimeout(() => {
+      if (!settled) {
+        settled = true;
+        cleanup();
+        reject(new Error("Video metadata extraction timed out"));
+      }
+    }, METADATA_TIMEOUT_MS);
+
+    video.preload = "metadata";
+
+    video.onloadedmetadata = () => {
+      if (!settled) {
+        settled = true;
+        clearTimeout(timeoutId);
+        const metadata = {
+          duration: video.duration,
+          width: video.videoWidth,
+          height: video.videoHeight,
+        };
+        cleanup();
+        resolve(metadata);
+      }
+    };
+
+    video.onerror = () => {
+      if (!settled) {
+        settled = true;
+        clearTimeout(timeoutId);
+        cleanup();
+        reject(new Error("Failed to load video metadata"));
+      }
+    };
+
+    video.src = objectUrl;
+  });
+}
+
+/**
+ * Check if a file is a supported video format.
+ */
+export function isVideoFile(file: File): boolean {
+  const supportedTypes = [
+    "video/mp4",
+    "video/webm",
+    "video/quicktime",
+    "video/x-matroska",
+    "video/x-msvideo",
+  ];
+
+  if (supportedTypes.includes(file.type)) {
+    return true;
+  }
+
+  // Check extension as fallback
+  const supportedExtensions = ["mp4", "webm", "mov", "mkv", "avi"];
+  const ext = file.name.split(".").pop()?.toLowerCase();
+  return ext ? supportedExtensions.includes(ext) : false;
+}
diff --git a/app/src/pages/HomePage.tsx b/app/src/pages/HomePage.tsx
index 76fbb50..d1ff80a 100644
--- a/app/src/pages/HomePage.tsx
+++ b/app/src/pages/HomePage.tsx
@@ -1,21 +1,49 @@
-import { useState, useEffect } from "react";
+import { useState, useEffect, useRef } from "react";
 import { Link, useNavigate } from "react-router-dom";
 import { Button } from "@/components/ui/button";
 import { Card, CardHeader, CardTitle, CardContent } from "@/components/ui/card";
-import { Plus, Brain, MessageSquare } from "lucide-react";
+import {
+  Brain,
+  MessageSquare,
+  Globe,
+  FileText,
+  Mic,
+  FileAudio,
+  Video,
+  Upload,
+} from "lucide-react";
+import { cn } from "@/lib/utils";
+import { toast } from "sonner";
 import { useMemoryEvents } from "../hooks/useMemoryEvents";
 import { apiFetch } from "@/lib/api";
 import { ChatInput } from "@/components/ChatInput";
 import { useConversation } from "@/contexts/ConversationContext";
 import { useConversations } from "@/hooks/useConversations";
+import { useVideoUpload } from "@/hooks/useVideoUpload";
+import { ArrowRight } from "lucide-react";
+
+type MemoryType = "web" | "note" | "voice_memo" | "audio" | "video" | "voice";
 
 interface Memory {
   id: number;
+  type: MemoryType;
   url: string;
   title: string;
   created_at: string;
 }
 
+const MEMORY_TYPE_CONFIG: Record<
+  MemoryType,
+  { icon: typeof Globe; colorClass: string }
+> = {
+  web: { icon: Globe, colorClass: "text-muted-foreground" },
+  note: { icon: FileText, colorClass: "text-amber-600" },
+  voice_memo: { icon: Mic, colorClass: "text-orange-600" },
+  voice: { icon: Mic, colorClass: "text-orange-600" }, // backwards compat
+  audio: { icon: FileAudio, colorClass: "text-blue-600" },
+  video: { icon: Video, colorClass: "text-purple-600" },
+};
+
 interface HomePageProps {
   userName?: string | null;
 }
@@ -33,14 +61,23 @@ function getGreeting(name?: string | null): string {
   return name ? `${greeting}, ${name}` : greeting;
 }
 
+const AUDIO_EXTENSIONS = ["mp3", "wav", "m4a", "webm", "ogg", "flac"];
+const VIDEO_EXTENSIONS = ["mp4", "webm", "mov", "mkv", "avi"];
+const MAX_AUDIO_SIZE = 100 * 1024 * 1024; // 100 MB
+const MAX_VIDEO_SIZE = 500 * 1024 * 1024; // 500 MB
+
 export default function HomePage({ userName }: HomePageProps) {
   const [message, setMessage] = useState("");
   const [recentMemories, setRecentMemories] = useState<Memory[]>([]);
+  const [isUploading, setIsUploading] = useState(false);
   const navigate = useNavigate();
 
+  const uploadInputRef = useRef<HTMLInputElement>(null);
+
   const { selectConversation, setPendingMessage } = useConversation();
 
   const { conversations } = useConversations();
+  const { uploadVideo, isUploading: isUploadingVideo } = useVideoUpload();
 
   useEffect(() => {
     fetchRecentMemories();
@@ -86,6 +123,82 @@ export default function HomePage({ userName }: HomePageProps) {
     navigate("/chat");
   };
 
+  const handleUpload = async (e: React.ChangeEvent<HTMLInputElement>) => {
+    const file = e.target.files?.[0];
+    if (!file) return;
+
+    const ext = file.name.split(".").pop()?.toLowerCase();
+    if (!ext) {
+      toast.error("Could not determine file type");
+      return;
+    }
+
+    const isAudio = AUDIO_EXTENSIONS.includes(ext);
+    const isVideo = VIDEO_EXTENSIONS.includes(ext);
+
+    if (!isAudio && !isVideo) {
+      toast.error(`Unsupported format. Use: ${[...AUDIO_EXTENSIONS, ...VIDEO_EXTENSIONS].join(", ")}`);
+      if (uploadInputRef.current) uploadInputRef.current.value = "";
+      return;
+    }
+
+    const maxSize = isVideo ? MAX_VIDEO_SIZE : MAX_AUDIO_SIZE;
+    const maxLabel = isVideo ? "500 MB" : "100 MB";
+    if (file.size > maxSize) {
+      toast.error(`File too large. Maximum size is ${maxLabel}.`);
+      if (uploadInputRef.current) uploadInputRef.current.value = "";
+      return;
+    }
+
+    if (isVideo) {
+      // Use the video upload hook for proper FFmpeg processing
+      toast.info("Processing video...", { description: "Extracting audio for transcription" });
+      const result = await uploadVideo(file);
+      if (result.success) {
+        toast.success("Video uploaded successfully");
+        navigate("/memories");
+      } else {
+        toast.error(result.error || "Failed to upload video");
+      }
+    } else {
+      // Direct upload for audio files
+      setIsUploading(true);
+      const formData = new FormData();
+      formData.append("file", file);
+
+      try {
+        const res = await apiFetch("/api/media/upload", {
+          method: "POST",
+          body: formData,
+        });
+
+        if (res.ok) {
+          toast.success("Audio uploaded successfully");
+          navigate("/memories");
+        } else {
+          const data = await res.json();
+          toast.error(data.detail || "Failed to upload audio");
+        }
+      } catch {
+        toast.error("Failed to upload audio");
+      } finally {
+        setIsUploading(false);
+      }
+    }
+
+    if (uploadInputRef.current) uploadInputRef.current.value = "";
+  };
+
+  const handleVoiceMemo = () => {
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    const electronAPI = (window as any).electronAPI;
+    if (electronAPI?.openRecordingWindow) {
+      electronAPI.openRecordingWindow();
+    } else {
+      toast.error("Voice recording is only available in the desktop app");
+    }
+  };
+
   // Get recent chats (first 5)
   const recentChats = conversations.slice(0, 5);
 
@@ -96,7 +209,7 @@ export default function HomePage({ userName }: HomePageProps) {
           {getGreeting(userName)}
         </h1>
 
-        <div className="mb-8 max-w-2xl mx-auto">
+        <div className="mb-10 max-w-2xl mx-auto">
           <ChatInput
             value={message}
             onChange={setMessage}
@@ -104,55 +217,136 @@ export default function HomePage({ userName }: HomePageProps) {
             isLoading={false}
             placeholder="Search for or ask anything..."
           />
+
+          {/* Action Chips */}
+          <div className="flex items-center justify-center gap-3 mt-5">
+            <button
+              onClick={() => navigate("/memories?add=true")}
+              className={cn(
+                "inline-flex items-center gap-2 px-4 py-2 rounded-full",
+                "text-xs font-medium text-muted-foreground",
+                "bg-white/5 backdrop-blur-sm border border-white/10",
+                "hover:bg-white/10 hover:text-foreground hover:border-white/20",
+                "hover:-translate-y-0.5",
+                "transition-all duration-200"
+              )}
+            >
+              <FileText className="h-4 w-4 text-amber-500" />
+              Note
+            </button>
+            <button
+              onClick={handleVoiceMemo}
+              disabled={isUploading || isUploadingVideo}
+              className={cn(
+                "inline-flex items-center gap-2 px-4 py-2 rounded-full",
+                "text-xs font-medium text-muted-foreground",
+                "bg-white/5 backdrop-blur-sm border border-white/10",
+                "hover:bg-white/10 hover:text-foreground hover:border-white/20",
+                "hover:-translate-y-0.5",
+                "transition-all duration-200",
+                "disabled:opacity-50 disabled:cursor-not-allowed disabled:hover:translate-y-0"
+              )}
+            >
+              <Mic className="h-4 w-4 text-orange-500" />
+              Voice
+            </button>
+            <button
+              onClick={() => uploadInputRef.current?.click()}
+              disabled={isUploading || isUploadingVideo}
+              className={cn(
+                "inline-flex items-center gap-2 px-4 py-2 rounded-full",
+                "text-xs font-medium text-muted-foreground",
+                "bg-white/5 backdrop-blur-sm border border-white/10",
+                "hover:bg-white/10 hover:text-foreground hover:border-white/20",
+                "hover:-translate-y-0.5",
+                "transition-all duration-200",
+                "disabled:opacity-50 disabled:cursor-not-allowed disabled:hover:translate-y-0"
+              )}
+            >
+              <Upload className="h-4 w-4 text-blue-500" />
+              Upload
+            </button>
+            <button
+              onClick={() => navigate("/chat?new=true")}
+              className={cn(
+                "inline-flex items-center gap-2 px-4 py-2 rounded-full",
+                "text-xs font-medium text-muted-foreground",
+                "bg-white/5 backdrop-blur-sm border border-white/10",
+                "hover:bg-white/10 hover:text-foreground hover:border-white/20",
+                "hover:-translate-y-0.5",
+                "transition-all duration-200"
+              )}
+            >
+              <MessageSquare className="h-4 w-4 text-primary" />
+              Chat
+            </button>
+          </div>
+
+          {/* Hidden file input for uploads */}
+          <input
+            ref={uploadInputRef}
+            type="file"
+            accept={[...AUDIO_EXTENSIONS, ...VIDEO_EXTENSIONS].map((e) => `.${e}`).join(",")}
+            onChange={handleUpload}
+            className="hidden"
+          />
         </div>
 
-        <div className="grid grid-cols-3 gap-4">
+        <div className="grid grid-cols-1 md:grid-cols-2 gap-8">
           {/* Recent Memories */}
-          <Card>
-            <CardHeader className="pb-2">
+          <Card className="relative overflow-hidden hover:shadow-lg hover:shadow-black/5 dark:hover:shadow-black/20 transition-shadow duration-300">
+            <div className="absolute inset-0 bg-gradient-to-br from-white/[0.02] to-transparent pointer-events-none" />
+            <CardHeader className="pb-3 relative">
               <CardTitle className="text-sm font-medium flex items-center gap-2">
                 <Brain className="h-4 w-4" />
                 Recent Memories
               </CardTitle>
             </CardHeader>
-            <CardContent>
+            <CardContent className="relative">
               {recentMemories.length === 0 ? (
                 <p className="text-sm text-muted-foreground">No memories yet</p>
               ) : (
-                <ul className="space-y-1">
-                  {recentMemories.map((memory) => (
-                    <li key={memory.id}>
-                      <Link
-                        to={`/memories?open=${memory.id}`}
-                        className="block text-sm truncate text-muted-foreground hover:text-foreground transition-colors py-1 -mx-2 px-2 rounded hover:bg-muted"
-                      >
-                        {memory.title || "Untitled"}
-                      </Link>
-                    </li>
-                  ))}
+                <ul className="space-y-0.5">
+                  {recentMemories.map((memory) => {
+                    const config = MEMORY_TYPE_CONFIG[memory.type] || MEMORY_TYPE_CONFIG.web;
+                    const TypeIcon = config.icon;
+                    return (
+                      <li key={memory.id}>
+                        <Link
+                          to={`/memories?open=${memory.id}`}
+                          className="flex items-center gap-3 text-sm text-muted-foreground hover:text-foreground transition-colors py-2 -mx-2 px-2 rounded-md hover:bg-muted"
+                        >
+                          <TypeIcon className={cn("h-4 w-4 flex-shrink-0", config.colorClass)} />
+                          <span className="truncate">{memory.title || "Untitled"}</span>
+                        </Link>
+                      </li>
+                    );
+                  })}
                 </ul>
               )}
-              <Link to="/memories">
-                <Button variant="ghost" size="sm" className="mt-2 w-full">
+              <Link to="/memories" className="block mt-4">
+                <span className="flex items-center justify-center gap-1 text-xs text-muted-foreground hover:text-foreground transition-colors">
                   View all
-                </Button>
+                  <ArrowRight className="h-3 w-3" />
+                </span>
               </Link>
             </CardContent>
           </Card>
 
           {/* Recent Chats */}
-          <Card>
-            <CardHeader className="pb-2">
+          <Card className="relative overflow-hidden hover:shadow-lg hover:shadow-black/5 dark:hover:shadow-black/20 transition-shadow duration-300">
+            <div className="absolute inset-0 bg-gradient-to-br from-white/[0.02] to-transparent pointer-events-none" />
+            <CardHeader className="pb-3 relative">
               <CardTitle className="text-sm font-medium flex items-center gap-2">
                 <MessageSquare className="h-4 w-4" />
                 Recent Chats
               </CardTitle>
             </CardHeader>
-            <CardContent>
+            <CardContent className="relative">
               {recentChats.length === 0 ? (
                 <p className="text-sm text-muted-foreground">No chats yet</p>
               ) : (
-                <ul className="space-y-1">
+                <ul className="space-y-0.5">
                   {recentChats.map((chat) => (
                     <li
                       key={chat.id}
@@ -160,47 +354,22 @@ export default function HomePage({ userName }: HomePageProps) {
                         selectConversation(chat);
                         navigate("/chat");
                       }}
-                      className="text-sm truncate text-muted-foreground hover:text-foreground cursor-pointer transition-colors py-1 -mx-2 px-2 rounded hover:bg-muted"
+                      className="text-sm truncate text-muted-foreground hover:text-foreground cursor-pointer transition-colors py-2 -mx-2 px-2 rounded-md hover:bg-muted"
                     >
                       {chat.title || "New conversation"}
                     </li>
                   ))}
                 </ul>
               )}
-              <Link to="/chat">
-                <Button variant="ghost" size="sm" className="mt-2 w-full">
+              <Link to="/chat" className="block mt-4">
+                <span className="flex items-center justify-center gap-1 text-xs text-muted-foreground hover:text-foreground transition-colors">
                   View all
-                </Button>
+                  <ArrowRight className="h-3 w-3" />
+                </span>
               </Link>
             </CardContent>
           </Card>
 
-          {/* Quick Actions */}
-          <Card>
-            <CardHeader className="pb-2">
-              <CardTitle className="text-sm font-medium flex items-center gap-2">
-                <Plus className="h-4 w-4" />
-                Quick Actions
-              </CardTitle>
-            </CardHeader>
-            <CardContent className="flex flex-col items-center justify-center space-y-3 py-4">
-              <Link to="/memories?add=true" className="w-full">
-                <Button variant="outline" size="sm" className="w-full">
-                  New Note
-                </Button>
-              </Link>
-              <Button
-                variant="outline"
-                size="sm"
-                className="w-full"
-                onClick={() => {
-                  navigate("/chat?new=true");
-                }}
-              >
-                New Conversation
-              </Button>
-            </CardContent>
-          </Card>
         </div>
       </div>
     </div>
diff --git a/app/src/pages/MemoriesPage.tsx b/app/src/pages/MemoriesPage.tsx
index e873217..7014ce2 100644
--- a/app/src/pages/MemoriesPage.tsx
+++ b/app/src/pages/MemoriesPage.tsx
@@ -3,11 +3,38 @@ import { useSearchParams } from "react-router-dom";
 import { Button } from "@/components/ui/button";
 import { Input } from "@/components/ui/input";
 import { MemoryCard } from "@/components/MemoryCard";
+import { VoiceMemoCard } from "@/components/VoiceMemoCard";
+import { AudioCard } from "@/components/AudioCard";
+import { VideoCard } from "@/components/VideoCard";
 import { MemoryDetailPanel } from "@/components/MemoryDetailPanel";
+import { AudioDropOverlay } from "@/components/AudioDropOverlay";
 import { NoteEditor } from "@/components/editor";
-import { Plus, Search, Loader2, ChevronDown } from "lucide-react";
+import {
+  Plus,
+  Search,
+  Loader2,
+  ChevronDown,
+  Upload,
+  Globe,
+  FileText,
+  Mic,
+  FileAudio,
+  Video,
+  LayoutGrid,
+  Check,
+  Calendar,
+} from "lucide-react";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { cn } from "@/lib/utils";
+import { toast } from "sonner";
 import { useMemoryEvents } from "../hooks/useMemoryEvents";
+import { useVideoUpload } from "../hooks/useVideoUpload";
 import { apiFetch } from "@/lib/api";
+import type { TranscriptionStatus, VideoProcessingStatus } from "@/types/chat";
 
 interface MemoryTag {
   id: number;
@@ -17,16 +44,27 @@ interface MemoryTag {
 
 interface Memory {
   id: number;
-  type: "web" | "note";
+  type: "web" | "note" | "voice_memo" | "audio" | "video" | "voice"; // "voice" for backwards compat
   url: string | null;
   title: string;
   summary: string | null;
   tags: MemoryTag[];
   created_at: string;
+  // Media-specific fields (voice memos and audio uploads)
+  audio_duration?: number;
+  transcription_status?: TranscriptionStatus;
+  media_source?: "recording" | "upload";
+  // Video-specific fields
+  video_duration?: number;
+  video_width?: number;
+  video_height?: number;
+  thumbnail_path?: string;
+  video_processing_status?: VideoProcessingStatus;
 }
 
 interface MemoryWithContent extends Memory {
   content?: string;
+  transcript?: string;
 }
 
 interface Tag {
@@ -35,9 +73,25 @@ interface Tag {
   usage_count: number;
 }
 
-type TypeFilter = "all" | "web" | "note";
+type TypeFilter = "all" | "web" | "note" | "voice_memo" | "audio" | "video";
 type DateFilter = "all" | "today" | "week" | "month";
 
+const TYPE_FILTER_OPTIONS = [
+  { value: "all", label: "All", icon: LayoutGrid, iconColor: "text-muted-foreground" },
+  { value: "web", label: "Web", icon: Globe, iconColor: "text-muted-foreground" },
+  { value: "note", label: "Notes", icon: FileText, iconColor: "text-amber-600" },
+  { value: "voice_memo", label: "Voice Memos", icon: Mic, iconColor: "text-orange-600" },
+  { value: "audio", label: "Audio", icon: FileAudio, iconColor: "text-blue-600" },
+  { value: "video", label: "Video", icon: Video, iconColor: "text-purple-600" },
+] as const;
+
+const DATE_FILTER_OPTIONS = [
+  { value: "all", label: "All Time" },
+  { value: "today", label: "Today" },
+  { value: "week", label: "This Week" },
+  { value: "month", label: "This Month" },
+] as const;
+
 export default function MemoriesPage() {
   const [searchParams, setSearchParams] = useSearchParams();
 
@@ -50,7 +104,9 @@ export default function MemoriesPage() {
 
   // Filter state
   const [typeFilter, setTypeFilter] = useState<TypeFilter>("all");
+  const [typeFilterOpen, setTypeFilterOpen] = useState(false);
   const [dateFilter, setDateFilter] = useState<DateFilter>("all");
+  const [dateFilterOpen, setDateFilterOpen] = useState(false);
   const [searchQuery, setSearchQuery] = useState("");
 
   // Semantic search state
@@ -73,8 +129,148 @@ export default function MemoriesPage() {
   const observerRef = useRef<IntersectionObserver | null>(null);
   const loadMoreRef = useRef<HTMLDivElement | null>(null);
 
+  // File upload refs
+  const audioInputRef = useRef<HTMLInputElement | null>(null);
+  const videoInputRef = useRef<HTMLInputElement | null>(null);
+  const [isUploading, setIsUploading] = useState(false);
+
+  // New menu state
+  const [newMenuOpen, setNewMenuOpen] = useState(false);
+
+  // Video upload hook
+  const { uploadVideo, uploadProgress, isUploading: isUploadingVideo } = useVideoUpload();
+
   const LIMIT = 20;
 
+  // Supported file extensions
+  const AUDIO_EXTENSIONS = ["mp3", "wav", "m4a", "webm", "ogg", "flac"];
+  const VIDEO_EXTENSIONS = ["mp4", "webm", "mov", "mkv", "avi"];
+
+  // File size limits (in bytes)
+  const MAX_AUDIO_SIZE = 100 * 1024 * 1024; // 100 MB
+  const MAX_VIDEO_SIZE = 500 * 1024 * 1024; // 500 MB
+
+  // File upload handler (audio and video)
+  const handleFileUpload = async (files: FileList | null) => {
+    if (!files || files.length === 0) return;
+
+    const fileArray = Array.from(files);
+
+    // Separate audio and video files
+    const audioFiles = fileArray.filter((file) => {
+      const ext = file.name.split(".").pop()?.toLowerCase();
+      return ext && AUDIO_EXTENSIONS.includes(ext);
+    });
+
+    const videoFiles = fileArray.filter((file) => {
+      const ext = file.name.split(".").pop()?.toLowerCase();
+      return ext && VIDEO_EXTENSIONS.includes(ext);
+    });
+
+    if (audioFiles.length === 0 && videoFiles.length === 0) {
+      toast.error("No supported files detected", {
+        description: `Audio: ${AUDIO_EXTENSIONS.join(", ")} | Video: ${VIDEO_EXTENSIONS.join(", ")}`,
+      });
+      return;
+    }
+
+    // Validate file sizes
+    const oversizedAudio = audioFiles.filter((f) => f.size > MAX_AUDIO_SIZE);
+    const oversizedVideo = videoFiles.filter((f) => f.size > MAX_VIDEO_SIZE);
+
+    if (oversizedAudio.length > 0) {
+      toast.error(`${oversizedAudio.length} audio file(s) exceed 100 MB limit`, {
+        description: oversizedAudio.map((f) => f.name).join(", "),
+      });
+    }
+
+    if (oversizedVideo.length > 0) {
+      toast.error(`${oversizedVideo.length} video file(s) exceed 500 MB limit`, {
+        description: oversizedVideo.map((f) => f.name).join(", "),
+      });
+    }
+
+    // Filter out oversized files
+    const validAudioFiles = audioFiles.filter((f) => f.size <= MAX_AUDIO_SIZE);
+    const validVideoFiles = videoFiles.filter((f) => f.size <= MAX_VIDEO_SIZE);
+
+    if (validAudioFiles.length === 0 && validVideoFiles.length === 0) {
+      return;
+    }
+
+    // Upload audio files
+    if (validAudioFiles.length > 0) {
+      setIsUploading(true);
+      try {
+        const uploadPromises = validAudioFiles.map(async (file) => {
+          const formData = new FormData();
+          formData.append("file", file);
+          const response = await apiFetch("/api/media/upload", {
+            method: "POST",
+            body: formData,
+          });
+          if (!response.ok) {
+            throw new Error("Upload failed");
+          }
+          return { success: true, name: file.name };
+        });
+
+        const results = await Promise.all(
+          uploadPromises.map((p) => p.catch((e) => ({ success: false, error: e })))
+        );
+        const successful = results.filter((r) => r.success);
+        const failed = results.filter((r) => !r.success);
+
+        if (successful.length > 0) {
+          toast.success(
+            successful.length === 1
+              ? "Audio file uploaded"
+              : `${successful.length} audio files uploaded`,
+            { description: "Transcription will begin shortly" }
+          );
+          fetchMemories(true);
+        }
+
+        if (failed.length > 0) {
+          toast.error(`Failed to upload ${failed.length} audio file(s)`);
+        }
+      } catch (error) {
+        toast.error("Audio upload failed");
+      } finally {
+        setIsUploading(false);
+      }
+    }
+
+    // Upload video files (one at a time due to FFmpeg processing)
+    for (const videoFile of validVideoFiles) {
+      toast.info(`Processing ${videoFile.name}...`, {
+        description: "Extracting audio for transcription",
+        duration: 5000,
+      });
+
+      const result = await uploadVideo(videoFile);
+
+      if (result.success) {
+        toast.success(`Video uploaded: ${videoFile.name}`, {
+          description: "Transcription will begin shortly",
+        });
+        fetchMemories(true);
+      } else {
+        toast.error(`Failed to upload ${videoFile.name}`, {
+          description: result.error,
+        });
+      }
+    }
+
+    // Reset file inputs
+    if (audioInputRef.current) {
+      audioInputRef.current.value = "";
+    }
+    if (videoInputRef.current) {
+      videoInputRef.current.value = "";
+    }
+  };
+
   // Helper to check if a memory matches current filters
   const matchesFilters = useCallback(
     (memory: Memory) => {
@@ -120,8 +316,8 @@ export default function MemoriesPage() {
       }
     },
     onMemoryUpdated: (memoryId, data) => {
-      const memory = data as Memory;
-      setMemories((prev) => prev.map((m) => (m.id === memoryId ? memory : m)));
+      const update = data as Partial<Memory>;
+      setMemories((prev) => prev.map((m) => (m.id === memoryId ? { ...m, ...update } : m)));
     },
     onMemoryDeleted: (memoryId) => {
       setMemories((prev) => prev.filter((m) => m.id !== memoryId));
@@ -419,10 +615,80 @@ export default function MemoriesPage() {
           <h1 className="text-2xl font-semibold">Memories</h1>
           <p className="text-sm text-muted-foreground">{total} total</p>
         </div>
-        <Button onClick={() => openNoteEditor()}>
-          <Plus className="h-4 w-4 mr-2" />
-          Add Note
-        </Button>
+        {/* Hidden file inputs */}
+        <input
+          ref={audioInputRef}
+          type="file"
+          accept="audio/*"
+          multiple
+          className="hidden"
+          onChange={(e) => handleFileUpload(e.target.files)}
+        />
+        <input
+          ref={videoInputRef}
+          type="file"
+          accept="video/*"
+          multiple
+          className="hidden"
+          onChange={(e) => handleFileUpload(e.target.files)}
+        />
+
+        {/* New dropdown */}
+        <Popover open={newMenuOpen} onOpenChange={setNewMenuOpen}>
+          <PopoverTrigger asChild>
+            <Button disabled={isUploading || isUploadingVideo}>
+              {isUploading || isUploadingVideo ? (
+                <Loader2 className="h-4 w-4 mr-2 animate-spin" />
+              ) : (
+                <Plus className="h-4 w-4 mr-2" />
+              )}
+              New
+              <ChevronDown className="h-4 w-4 ml-1" />
+            </Button>
+          </PopoverTrigger>
+          <PopoverContent className="w-[160px] p-1" align="end">
+            <button
+              className="flex items-center gap-2 w-full px-2 py-1.5 text-sm rounded-sm hover:bg-muted/50 cursor-pointer"
+              onClick={() => {
+                openNoteEditor();
+                setNewMenuOpen(false);
+              }}
+            >
+              <FileText className="h-4 w-4 text-amber-600" />
+              <span>Add Note</span>
+            </button>
+            <button
+              className="flex items-center gap-2 w-full px-2 py-1.5 text-sm rounded-sm hover:bg-muted/50 cursor-pointer"
+              onClick={() => {
+                window.electronAPI?.openRecordingWindow();
+                setNewMenuOpen(false);
+              }}
+            >
+              <Mic className="h-4 w-4 text-orange-600" />
+              <span>Voice Memo</span>
+            </button>
+            <button
+              className="flex items-center gap-2 w-full px-2 py-1.5 text-sm rounded-sm hover:bg-muted/50 cursor-pointer"
+              onClick={() => {
+                audioInputRef.current?.click();
+                setNewMenuOpen(false);
+              }}
+            >
+              <FileAudio className="h-4 w-4 text-blue-600" />
+              <span>Upload Audio</span>
+            </button>
+            <button
+              className="flex items-center gap-2 w-full px-2 py-1.5 text-sm rounded-sm hover:bg-muted/50 cursor-pointer"
+              onClick={() => {
+                videoInputRef.current?.click();
+                setNewMenuOpen(false);
+              }}
+            >
+              <Video className="h-4 w-4 text-purple-600" />
+              <span>Upload Video</span>
+            </button>
+          </PopoverContent>
+        </Popover>
       </div>
 
       {/* Memory Detail Panel */}
@@ -456,57 +722,115 @@ export default function MemoriesPage() {
         }
       />
 
+      {/* Audio Drop Overlay */}
+      <AudioDropOverlay onUploadComplete={() => fetchMemories(true)} />
+
       {/* Filters */}
       <div className="flex flex-wrap gap-4 mb-6">
-        {/* Type filter */}
-        <div className="flex rounded-md border">
-          {(["all", "web", "note"] as TypeFilter[]).map((type) => (
-            <button
-              key={type}
-              className={`px-3 py-1.5 text-sm capitalize ${
-                typeFilter === type
-                  ? "bg-primary text-primary-foreground"
-                  : "hover:bg-muted"
-              } ${type === "all" ? "rounded-l-md" : ""} ${
-                type === "note" ? "rounded-r-md" : ""
-              }`}
-              onClick={() => setTypeFilter(type)}
+        {/* Type filter dropdown */}
+        <Popover open={typeFilterOpen} onOpenChange={setTypeFilterOpen}>
+          <PopoverTrigger asChild>
+            <Button
+              variant="outline"
+              className="flex items-center gap-2 min-w-[150px] justify-between"
             >
-              {type === "all" ? "All" : type === "web" ? "Web" : "Notes"}
-            </button>
-          ))}
-        </div>
-
-        {/* Date filter */}
-        <div className="relative">
-          <button
-            className="flex items-center gap-2 px-3 py-1.5 text-sm border rounded-md hover:bg-muted"
-            onClick={() => {
-              const select = document.getElementById("date-select");
-              if (select) (select as HTMLSelectElement).click();
-            }}
-          >
-            {dateFilter === "all"
-              ? "All Time"
-              : dateFilter === "today"
-              ? "Today"
-              : dateFilter === "week"
-              ? "This Week"
-              : "This Month"}
-            <ChevronDown className="h-4 w-4" />
-          </button>
-          <select
-            id="date-select"
-            className="absolute inset-0 opacity-0 cursor-pointer"
-            value={dateFilter}
-            onChange={(e) => setDateFilter(e.target.value as DateFilter)}
-          >
-            <option value="all">All Time</option>
-            <option value="today">Today</option>
-            <option value="week">This Week</option>
-            <option value="month">This Month</option>
-          </select>
-        </div>
+              <span className="flex items-center gap-2">
+                {(() => {
+                  const option = TYPE_FILTER_OPTIONS.find(
+                    (o) => o.value === typeFilter
+                  );
+                  const Icon = option?.icon || LayoutGrid;
+                  return (
+                    <>
+                      <Icon className={cn("h-4 w-4", option?.iconColor)} />
+                      <span>{option?.label || "All"}</span>
+                    </>
+                  );
+                })()}
+              </span>
+              <ChevronDown
+                className={cn(
+                  "h-4 w-4 transition-transform",
+                  typeFilterOpen && "rotate-180"
+                )}
+              />
+            </Button>
+          </PopoverTrigger>
+          <PopoverContent className="w-[180px] p-1" align="start">
+            {TYPE_FILTER_OPTIONS.map((option) => {
+              const Icon = option.icon;
+              const isSelected = typeFilter === option.value;
+              return (
+                <button
+                  key={option.value}
+                  className={cn(
+                    "flex items-center gap-2 w-full px-2 py-1.5 text-sm rounded-sm",
+                    "hover:bg-muted/50 cursor-pointer",
+                    isSelected && "bg-muted"
+                  )}
+                  onClick={() => {
+                    setTypeFilter(option.value);
+                    setTypeFilterOpen(false);
+                  }}
+                >
+                  <Icon className={cn("h-4 w-4", option.iconColor)} />
+                  <span className="flex-1 text-left">{option.label}</span>
+                  {isSelected && (
+                    <Check className="h-4 w-4 text-muted-foreground flex-shrink-0" />
+                  )}
+                </button>
+              );
+            })}
+          </PopoverContent>
+        </Popover>
+
+        {/* Date filter dropdown */}
+        <Popover open={dateFilterOpen} onOpenChange={setDateFilterOpen}>
+          <PopoverTrigger asChild>
+            <Button
+              variant="outline"
+              className="flex items-center gap-2 min-w-[130px] justify-between"
+            >
+              <span className="flex items-center gap-2">
+                <Calendar className="h-4 w-4 text-muted-foreground" />
+                <span>
+                  {DATE_FILTER_OPTIONS.find((o) => o.value === dateFilter)
+                    ?.label || "All Time"}
+                </span>
+              </span>
+              <ChevronDown
+                className={cn(
+                  "h-4 w-4 transition-transform",
+                  dateFilterOpen && "rotate-180"
+                )}
+              />
+            </Button>
+          </PopoverTrigger>
+          <PopoverContent className="w-[150px] p-1" align="start">
+            {DATE_FILTER_OPTIONS.map((option) => {
+              const isSelected = dateFilter === option.value;
+              return (
+                <button
+                  key={option.value}
+                  className={cn(
+                    "flex items-center gap-2 w-full px-2 py-1.5 text-sm rounded-sm",
+                    "hover:bg-muted/50 cursor-pointer",
+                    isSelected && "bg-muted"
+                  )}
+                  onClick={() => {
+                    setDateFilter(option.value);
+                    setDateFilterOpen(false);
+                  }}
+                >
+                  <span className="flex-1 text-left">{option.label}</span>
+                  {isSelected && (
+                    <Check className="h-4 w-4 text-muted-foreground flex-shrink-0" />
+                  )}
+                </button>
+              );
+            })}
+          </PopoverContent>
+        </Popover>
 
         {/* Search */}
         <div className="relative flex-1 min-w-[200px]">
@@ -536,13 +860,36 @@ export default function MemoriesPage() {
         <div className="columns-1 sm:columns-2 gap-4">
           {displayMemories.map((memory) => (
             <div key={memory.id} className="break-inside-avoid mb-4">
-              <MemoryCard
-                memory={memory}
-                onRemoveTag={handleRemoveTag}
-                onExpand={handleExpand}
-                onEdit={handleEdit}
-                formatDate={formatDate}
-              />
+              {memory.type === "voice_memo" || memory.type === "voice" ? (
+                <VoiceMemoCard
+                  memory={memory as Memory & { type: "voice_memo" | "voice" }}
+                  onRemoveTag={handleRemoveTag}
+                  onExpand={handleExpand}
+                  formatDate={formatDate}
+                />
+              ) : memory.type === "audio" ? (
+                <AudioCard
+                  memory={memory as Memory & { type: "audio" }}
+                  onRemoveTag={handleRemoveTag}
+                  onExpand={handleExpand}
+                  formatDate={formatDate}
+                />
+              ) : memory.type === "video" ? (
+                <VideoCard
+                  memory={memory as Memory & { type: "video" }}
+                  onRemoveTag={handleRemoveTag}
+                  onExpand={handleExpand}
+                  formatDate={formatDate}
+                />
+              ) : (
+                <MemoryCard
+                  memory={memory as Memory & { type: "web" | "note" }}
+                  onRemoveTag={handleRemoveTag}
+                  onExpand={handleExpand}
+                  onEdit={handleEdit}
+                  formatDate={formatDate}
+                />
+              )}
             </div>
           ))}
         </div>
diff --git a/app/src/pages/RecordingPage.tsx b/app/src/pages/RecordingPage.tsx
new file mode 100644
index 0000000..9291fe9
--- /dev/null
+++ b/app/src/pages/RecordingPage.tsx
@@ -0,0 +1,299 @@
+import { useState, useRef, useEffect } from "react";
+import { Mic, Square, Loader2, X, Check, ChevronDown } from "lucide-react";
+import { cn } from "@/lib/utils";
+import { apiFetch } from "@/lib/api";
+
+type RecordingState = "idle" | "recording" | "uploading" | "done" | "error";
+
+export default function RecordingPage() {
+  const [state, setState] = useState<RecordingState>("idle");
+  const [duration, setDuration] = useState(0);
+  const [error, setError] = useState<string | null>(null);
+  const [audioDevices, setAudioDevices] = useState<MediaDeviceInfo[]>([]);
+  const [selectedDeviceId, setSelectedDeviceId] = useState<string>("");
+
+  const mediaRecorderRef = useRef<MediaRecorder | null>(null);
+  const chunksRef = useRef<Blob[]>([]);
+  const timerRef = useRef<ReturnType<typeof setInterval> | null>(null);
+  const streamRef = useRef<MediaStream | null>(null);
+
+  // Enumerate audio devices on mount and after permission granted
+  const enumerateDevices = async () => {
+    try {
+      const devices = await navigator.mediaDevices.enumerateDevices();
+      const mics = devices.filter((d) => d.kind === "audioinput");
+      setAudioDevices(mics);
+
+      // Restore saved preference if still available
+      const saved = localStorage.getItem("think_preferred_mic");
+      if (saved && mics.some((m) => m.deviceId === saved)) {
+        setSelectedDeviceId(saved);
+      }
+    } catch (err) {
+      console.error("Failed to enumerate devices:", err);
+    }
+  };
+
+  useEffect(() => {
+    enumerateDevices();
+    // Re-enumerate when devices change (e.g., plugging in a mic)
+    navigator.mediaDevices.addEventListener("devicechange", enumerateDevices);
+    return () => {
+      navigator.mediaDevices.removeEventListener("devicechange", enumerateDevices);
+    };
+  }, []);
+
+  // Notify main process of recording state changes (for blur handler)
+  useEffect(() => {
+    const isRecording = state === "recording" || state === "uploading";
+    window.electronAPI?.setRecordingState?.(isRecording);
+    return () => {
+      window.electronAPI?.setRecordingState?.(false);
+    };
+  }, [state]);
+
+  // Cleanup on unmount
+  useEffect(() => {
+    return () => {
+      stopTimer();
+      cleanupStream();
+    };
+  }, []);
+
+  const stopTimer = () => {
+    if (timerRef.current) {
+      clearInterval(timerRef.current);
+      timerRef.current = null;
+    }
+  };
+
+  const cleanupStream = () => {
+    if (streamRef.current) {
+      streamRef.current.getTracks().forEach((track) => track.stop());
+      streamRef.current = null;
+    }
+  };
+
+  const formatDuration = (seconds: number): string => {
+    const mins = Math.floor(seconds / 60);
+    const secs = seconds % 60;
+    return `${mins}:${secs.toString().padStart(2, "0")}`;
+  };
+
+  const startRecording = async () => {
+    try {
+      setError(null);
+      const audioConstraints = selectedDeviceId
+        ? { deviceId: { exact: selectedDeviceId } }
+        : true;
+      const stream = await navigator.mediaDevices.getUserMedia({ audio: audioConstraints });
+      streamRef.current = stream;
+
+      // Re-enumerate devices after permission granted (to get labels)
+      enumerateDevices();
+
+      // Use webm/opus for good compression and broad support
+      const mimeType = MediaRecorder.isTypeSupported("audio/webm;codecs=opus")
+        ? "audio/webm;codecs=opus"
+        : "audio/webm";
+
+      const mediaRecorder = new MediaRecorder(stream, { mimeType });
+      mediaRecorderRef.current = mediaRecorder;
+      chunksRef.current = [];
+
+      mediaRecorder.ondataavailable = (e) => {
+        if (e.data.size > 0) {
+          chunksRef.current.push(e.data);
+        }
+      };
+
+      mediaRecorder.onstop = async () => {
+        stopTimer();
+        cleanupStream();
+
+        if (chunksRef.current.length === 0) {
+          setState("idle");
+          return;
+        }
+
+        setState("uploading");
+        await uploadRecording();
+      };
+
+      mediaRecorder.onerror = (e) => {
+        console.error("MediaRecorder error:", e);
+        setError("Recording failed");
+        setState("error");
+        cleanupStream();
+      };
+
+      mediaRecorder.start(1000); // Collect data every second
+      setState("recording");
+      setDuration(0);
+
+      // Start duration timer
+      timerRef.current = setInterval(() => {
+        setDuration((prev) => prev + 1);
+      }, 1000);
+    } catch (err) {
+      console.error("Failed to start recording:", err);
+      setError("Microphone access denied");
+      setState("error");
+    }
+  };
+
+  const stopRecording = () => {
+    if (mediaRecorderRef.current && state === "recording") {
+      mediaRecorderRef.current.stop();
+    }
+  };
+
+  const uploadRecording = async () => {
+    try {
+      const blob = new Blob(chunksRef.current, { type: "audio/webm" });
+
+      // Create a file with a timestamp name
+      const timestamp = new Date().toISOString().replace(/[:.]/g, "-");
+      const file = new File([blob], `voice-note-${timestamp}.webm`, {
+        type: "audio/webm",
+      });
+
+      const formData = new FormData();
+      formData.append("file", file);
+
+      const response = await apiFetch("/api/media/record", {
+        method: "POST",
+        body: formData,
+      });
+
+      if (!response.ok) {
+        throw new Error("Upload failed");
+      }
+
+      setState("done");
+
+      // Close the window after a brief success indication
+      setTimeout(() => {
+        window.close();
+      }, 1000);
+    } catch (err) {
+      console.error("Failed to upload recording:", err);
+      setError("Upload failed");
+      setState("error");
+    }
+  };
+
+  const handleClose = () => {
+    if (state === "recording") {
+      stopRecording();
+    } else {
+      window.close();
+    }
+  };
+
+  return (
+    <div
+      className={cn(
+        "fixed inset-0 flex flex-col items-center justify-center p-4",
+        "bg-card"
+      )}
+      style={{ WebkitAppRegion: "drag" } as React.CSSProperties}
+    >
+      {/* Close button */}
+      <button
+        onClick={handleClose}
+        className={cn(
+          "absolute top-2 right-2 p-1.5 rounded-full",
+          "text-muted-foreground hover:text-foreground hover:bg-muted/50",
+          "transition-colors"
+        )}
+        style={{ WebkitAppRegion: "no-drag" } as React.CSSProperties}
+      >
+        <X className="h-4 w-4" />
+      </button>
+
+      {/* Title */}
+      <p className="text-sm text-muted-foreground mb-2">
+        {state === "idle" && "Click to record"}
+        {state === "recording" && "Recording..."}
+        {state === "uploading" && "Saving..."}
+        {state === "done" && "Saved!"}
+        {state === "error" && (error || "Error")}
+      </p>
+
+      {/* Microphone selector - only show when idle or error */}
+      {(state === "idle" || state === "error") && audioDevices.length > 1 && (
+        <div className="relative mb-2" style={{ WebkitAppRegion: "no-drag" } as React.CSSProperties}>
+          <select
+            value={selectedDeviceId}
+            onChange={(e) => {
+              setSelectedDeviceId(e.target.value);
+              localStorage.setItem("think_preferred_mic", e.target.value);
+            }}
+            className={cn(
+              "appearance-none w-44 text-xs bg-muted/50 border border-border rounded-md",
+              "pl-2.5 pr-7 py-1.5 text-foreground cursor-pointer",
+              "focus:outline-none focus:ring-1 focus:ring-ring",
+              "hover:bg-muted/70 transition-colors"
+            )}
+          >
+            <option value="">Default Microphone</option>
+            {audioDevices.map((device) => (
+              <option key={device.deviceId} value={device.deviceId}>
+                {device.label || `Mic ${device.deviceId.slice(0, 6)}...`}
+              </option>
+            ))}
+          </select>
+          <ChevronDown className="absolute right-2 top-1/2 -translate-y-1/2 h-3.5 w-3.5 text-muted-foreground pointer-events-none" />
+        </div>
+      )}
+
+      {/* Record button */}
+      <button
+        onClick={state === "idle" || state === "error" ? startRecording : stopRecording}
+        disabled={state === "uploading" || state === "done"}
+        className={cn(
+          "w-20 h-20 rounded-full flex items-center justify-center",
+          "transition-all duration-200",
+          state === "idle" || state === "error"
+            ? "bg-orange-100 hover:bg-orange-200 dark:bg-orange-900/30 dark:hover:bg-orange-900/50 text-orange-600"
+            : state === "recording"
+            ? "bg-red-500 hover:bg-red-600 text-white animate-pulse"
+            : state === "uploading"
+            ? "bg-muted text-muted-foreground"
+            : "bg-green-500 text-white"
+        )}
+        style={{ WebkitAppRegion: "no-drag" } as React.CSSProperties}
+      >
+        {state === "idle" || state === "error" ? (
+          <Mic className="h-8 w-8" />
+        ) : state === "recording" ? (
+          <Square className="h-6 w-6 fill-current" />
+        ) : state === "uploading" ? (
+          <Loader2 className="h-8 w-8 animate-spin" />
+        ) : (
+          <Check className="h-8 w-8" />
+        )}
+      </button>
+
+      {/* Duration */}
+      {state === "recording" && (
+        <p className="text-2xl font-mono mt-3 text-foreground">
+          {formatDuration(duration)}
+        </p>
+      )}
+
+      {/* Hint */}
+      {state === "idle" && (
+        <p className="text-xs text-muted-foreground/70 mt-3">
+          Press to start recording
+        </p>
+      )}
+      {state === "recording" && (
+        <p className="text-xs text-muted-foreground/70 mt-1">
+          Press to stop
+        </p>
+      )}
+    </div>
+  );
+}
diff --git a/app/src/types/chat.ts b/app/src/types/chat.ts
index ba3ac56..6ce034b 100644
--- a/app/src/types/chat.ts
+++ b/app/src/types/chat.ts
@@ -9,10 +9,43 @@ export interface SourceMemory {
 export interface AttachedMemory {
   id: number;
   title: string;
-  type: "web" | "note";
+  type: "web" | "note" | "voice_memo" | "audio" | "video" | "voice"; // "voice" for backwards compat
   url?: string;
 }
 
+export type MemoryType = "web" | "note" | "voice_memo" | "audio" | "video" | "voice"; // "voice" for backwards compat
+
+export type MediaSource = "recording" | "upload";
+
+export type TranscriptionStatus = "pending" | "processing" | "completed" | "failed";
+
+export interface TranscriptSegment {
+  start: number;
+  end: number;
+  text: string;
+}
+
+export interface MediaMemoryFields {
+  audio_duration?: number;
+  transcription_status?: TranscriptionStatus;
+  transcript?: string;
+  transcript_segments?: TranscriptSegment[];
+  media_source?: MediaSource;
+}
+
+// Alias for backwards compatibility
+export type VoiceMemoryFields = MediaMemoryFields;
+
+export type VideoProcessingStatus = "pending_extraction" | "extracting" | "ready" | "failed";
+
+export interface VideoMemoryFields extends MediaMemoryFields {
+  video_duration?: number;
+  video_width?: number;
+  video_height?: number;
+  thumbnail_path?: string;
+  video_processing_status?: VideoProcessingStatus;
+}
+
 export interface TokenUsage {
   prompt_tokens: number;
   completion_tokens: number;
diff --git a/backend/app/db/crud.py b/backend/app/db/crud.py
index cc63d94..a9d5257 100644
--- a/backend/app/db/crud.py
+++ b/backend/app/db/crud.py
@@ -1,7 +1,11 @@
+import json
+import logging
 from contextlib import contextmanager
 from datetime import datetime, timedelta
 from sqlalchemy import select, func
 
+logger = logging.getLogger(__name__)
+
 from ..models import Memory, Setting, Tag, MemoryTag, Conversation, Message, MessageSource
 from .core import get_session_maker, run_sync, serialize_embedding
 
@@ -129,7 +133,7 @@ def _get():
 
             result = []
             for m in memories:
-                result.append({
+                memory_dict = {
                     "id": m.id,
                     "type": m.type,
                     "url": m.url,
@@ -137,7 +141,26 @@ def _get():
                     "summary": m.summary,
                     "tags": tags_by_memory.get(m.id, []),
                     "created_at": m.created_at.isoformat(),
-                })
+                }
+                # Add media-specific fields for voice memos and audio
+                if m.type in ("voice_memo", "audio"):
+                    memory_dict.update({
+                        "audio_duration": m.audio_duration,
+                        "transcription_status": m.transcription_status,
+                        "media_source": m.media_source,
+                    })
+                # Add video-specific fields
+                elif m.type == "video":
+                    memory_dict.update({
+                        "video_duration": m.video_duration,
+                        "video_width": m.video_width,
+                        "video_height": m.video_height,
+                        "thumbnail_path": m.thumbnail_path,
+                        "video_processing_status": m.video_processing_status,
+                        "transcription_status": m.transcription_status,
+                        "media_source": m.media_source,
+                    })
+                result.append(memory_dict)
 
             return result, total
 
@@ -162,7 +185,7 @@ def _get():
                 for mt, tag in memory_tags
             ]
 
-            return {
+            result = {
                 "id": memory.id,
                 "type": memory.type,
                 "url": memory.url,
@@ -174,6 +197,45 @@ def _get():
                 "created_at": memory.created_at.isoformat(),
             }
 
+            # Add media-specific fields for voice memos and audio
+            if memory.type in ("voice_memo", "audio"):
+                result.update({
+                    "audio_path": memory.audio_path,
+                    "audio_format": memory.audio_format,
+                    "audio_duration": memory.audio_duration,
+                    "transcript": memory.transcript,
+                    "transcription_status": memory.transcription_status,
+                    "media_source": memory.media_source,
+                    "transcript_segments": (
+                        json.loads(memory.transcript_segments)
+                        if memory.transcript_segments
+                        else None
+                    ),
+                })
+            # Add video-specific fields
+            elif memory.type == "video":
+                result.update({
+                    "video_path": memory.video_path,
+                    "video_format": memory.video_format,
+                    "video_duration": memory.video_duration,
+                    "video_width": memory.video_width,
+                    "video_height": memory.video_height,
+                    "thumbnail_path": memory.thumbnail_path,
+                    "video_processing_status": memory.video_processing_status,
+                    "audio_path": memory.audio_path,
+                    "audio_format": memory.audio_format,
+                    "transcript": memory.transcript,
+                    "transcription_status": memory.transcription_status,
+                    "media_source": memory.media_source,
+                    "transcript_segments": (
+                        json.loads(memory.transcript_segments)
+                        if memory.transcript_segments
+                        else None
+                    ),
+                })
+
+            return result
+
     return await run_sync(_get)
 
 
@@ -865,3 +927,385 @@ def _add():
             }
 
     return await run_sync(_add)
+
+
+# Media memory functions (voice memos and audio uploads)
+
+async def create_media_memory(
+    title: str,
+    audio_path: str,
+    audio_format: str,
+    memory_type: str = "voice_memo",
+    media_source: str = "recording",
+    audio_duration: float | None = None,
+) -> dict:
+    """Create a new media memory record (voice memo or audio upload).
+
+    Args:
+        title: Initial title (may be updated after transcription)
+        audio_path: Relative path to encrypted audio file
+        audio_format: Audio format (e.g., "mp3", "wav")
+        memory_type: "voice_memo" for recordings, "audio" for uploads
+        media_source: "recording" or "upload"
+        audio_duration: Duration in seconds
+
+    Returns:
+        Dict with memory info
+    """
+    def _create():
+        with get_session_maker()() as session:
+            memory = Memory(
+                type=memory_type,
+                title=title,
+                audio_path=audio_path,
+                audio_format=audio_format,
+                audio_duration=audio_duration,
+                media_source=media_source,
+                transcription_status="pending",
+            )
+            session.add(memory)
+            session.commit()
+            session.refresh(memory)
+            return {
+                "id": memory.id,
+                "type": memory.type,
+                "title": memory.title,
+                "audio_path": memory.audio_path,
+                "audio_format": memory.audio_format,
+                "audio_duration": memory.audio_duration,
+                "media_source": memory.media_source,
+                "transcription_status": memory.transcription_status,
+                "created_at": memory.created_at.isoformat(),
+            }
+
+    return await run_sync(_create)
+
+
+async def update_memory_transcript(
+    memory_id: int, transcript: str, segments: list[dict] | None = None
+) -> bool:
+    """Update the transcript and segments for a voice memory."""
+    def _update():
+        with get_session_maker()() as session:
+            memory = session.get(Memory, memory_id)
+            if not memory:
+                return False
+            memory.transcript = transcript
+            # Also store transcript as content for search/embedding
+            memory.content = transcript
+            # Store segments with timestamps as JSON
+            if segments:
+                memory.transcript_segments = json.dumps(segments)
+                # Set audio_duration from last segment if not already set
+                # (WebM recordings may not have duration extracted by mutagen)
+                if not memory.audio_duration and len(segments) > 0:
+                    memory.audio_duration = segments[-1]["end"]
+                    logger.info(
+                        f"Set audio duration from transcript segments for memory {memory_id}: {memory.audio_duration}s"
+                    )
+            session.commit()
+            return True
+
+    return await run_sync(_update)
+
+
+async def update_transcription_status(memory_id: int, status: str) -> bool:
+    """Update the transcription status for a voice memory.
+
+    Args:
+        memory_id: Memory ID
+        status: One of "pending", "processing", "completed", "failed"
+    """
+    def _update():
+        with get_session_maker()() as session:
+            memory = session.get(Memory, memory_id)
+            if not memory:
+                return False
+            memory.transcription_status = status
+            session.commit()
+            return True
+
+    return await run_sync(_update)
+
+
+async def reset_transcription_status_if_not_processing(memory_id: int) -> bool:
+    """Atomically reset transcription status to 'pending' only if not currently processing.
+
+    This prevents race conditions when multiple retry requests come in simultaneously.
+
+    Args:
+        memory_id: Memory ID
+
+    Returns:
+        True if status was reset (was not processing), False if already processing or not found
+    """
+    def _update():
+        with get_session_maker()() as session:
+            from sqlalchemy import update
+            # Atomic update: only update if status is not 'processing'
+            result = session.execute(
+                update(Memory)
+                .where(Memory.id == memory_id)
+                .where(Memory.transcription_status != "processing")
+                .values(transcription_status="pending")
+            )
+            session.commit()
+            # rowcount tells us if any row was actually updated
+            return result.rowcount > 0
+
+    return await run_sync(_update)
+
+
+async def get_media_memory(memory_id: int) -> dict | None:
+    """Get a media memory (voice memo or audio) with audio details."""
+    def _get():
+        with get_session_maker()() as session:
+            memory = session.get(Memory, memory_id)
+            if not memory or memory.type not in ("voice_memo", "audio"):
+                return None
+
+            # Get tags
+            memory_tags = session.execute(
+                select(MemoryTag, Tag)
+                .join(Tag, MemoryTag.tag_id == Tag.id)
+                .where(MemoryTag.memory_id == memory_id)
+            ).all()
+            tags = [
+                {"id": tag.id, "name": tag.name, "source": mt.source}
+                for mt, tag in memory_tags
+            ]
+
+            return {
+                "id": memory.id,
+                "type": memory.type,
+                "title": memory.title,
+                "content": memory.content,
+                "summary": memory.summary,
+                "transcript": memory.transcript,
+                "audio_path": memory.audio_path,
+                "audio_format": memory.audio_format,
+                "audio_duration": memory.audio_duration,
+                "media_source": memory.media_source,
+                "transcription_status": memory.transcription_status,
+                "tags": tags,
+                "created_at": memory.created_at.isoformat(),
+            }
+
+    return await run_sync(_get)
+
+
+async def delete_media_memory(memory_id: int) -> str | None:
+    """Delete a media memory and return the audio path for cleanup.
+
+    Returns:
+        The audio_path if memory was deleted (for file cleanup), None if not found
+    """
+    def _delete():
+        with get_session_maker()() as session:
+            memory = session.get(Memory, memory_id)
+            if not memory:
+                return None
+            audio_path = memory.audio_path
+            session.delete(memory)
+            session.commit()
+            return audio_path
+
+    return await run_sync(_delete)
+
+
+# Video memory functions
+
+async def create_video_memory(
+    title: str,
+    video_path: str,
+    video_format: str,
+    video_duration: float | None = None,
+    video_width: int | None = None,
+    video_height: int | None = None,
+    media_source: str = "upload",
+) -> dict:
+    """Create a new video memory record.
+
+    Args:
+        title: Initial title (may be updated after transcription)
+        video_path: Relative path to encrypted video file
+        video_format: Video format (e.g., "mp4", "webm", "mov")
+        video_duration: Duration in seconds
+        video_width: Video width in pixels
+        video_height: Video height in pixels
+        media_source: Source of the video (usually "upload")
+
+    Returns:
+        Dict with memory info
+    """
+    def _create():
+        with get_session_maker()() as session:
+            memory = Memory(
+                type="video",
+                title=title,
+                video_path=video_path,
+                video_format=video_format,
+                video_duration=video_duration,
+                video_width=video_width,
+                video_height=video_height,
+                media_source=media_source,
+                video_processing_status="pending_extraction",
+            )
+            session.add(memory)
+            session.commit()
+            session.refresh(memory)
+            return {
+                "id": memory.id,
+                "type": memory.type,
+                "title": memory.title,
+                "video_path": memory.video_path,
+                "video_format": memory.video_format,
+                "video_duration": memory.video_duration,
+                "video_width": memory.video_width,
+                "video_height": memory.video_height,
+                "media_source": memory.media_source,
+                "video_processing_status": memory.video_processing_status,
+                "created_at": memory.created_at.isoformat(),
+            }
+
+    return await run_sync(_create)
+
+
+async def update_video_processing_status(memory_id: int, status: str) -> bool:
+    """Update the video processing status.
+
+    Args:
+        memory_id: Memory ID
+        status: One of "pending_extraction", "extracting", "ready", "failed"
+    """
+    def _update():
+        with get_session_maker()() as session:
+            memory = session.get(Memory, memory_id)
+            if not memory or memory.type != "video":
+                return False
+            memory.video_processing_status = status
+            session.commit()
+            return True
+
+    return await run_sync(_update)
+
+
+async def update_video_audio(
+    memory_id: int,
+    audio_path: str,
+    audio_format: str,
+) -> bool:
+    """Update the extracted audio info for a video memory.
+
+    Called after frontend extracts audio and uploads it.
+
+    Args:
+        memory_id: Memory ID
+        audio_path: Relative path to encrypted audio file
+        audio_format: Audio format (e.g., "m4a", "mp3")
+    """
+    def _update():
+        with get_session_maker()() as session:
+            memory = session.get(Memory, memory_id)
+            if not memory or memory.type != "video":
+                return False
+            memory.audio_path = audio_path
+            memory.audio_format = audio_format
+            memory.transcription_status = "pending"
+            memory.video_processing_status = "ready"
+            session.commit()
+            return True
+
+    return await run_sync(_update)
+
+
+async def update_video_thumbnail(memory_id: int, thumbnail_path: str) -> bool:
+    """Update the thumbnail path for a video memory.
+
+    Args:
+        memory_id: Memory ID
+        thumbnail_path: Relative path to encrypted thumbnail file
+    """
+    def _update():
+        with get_session_maker()() as session:
+            memory = session.get(Memory, memory_id)
+            if not memory or memory.type != "video":
+                return False
+            memory.thumbnail_path = thumbnail_path
+            session.commit()
+            return True
+
+    return await run_sync(_update)
+
+
+async def get_video_memory(memory_id: int) -> dict | None:
+    """Get a video memory with all details."""
+    def _get():
+        with get_session_maker()() as session:
+            memory = session.get(Memory, memory_id)
+            if not memory or memory.type != "video":
+                return None
+
+            # Get tags
+            memory_tags = session.execute(
+                select(MemoryTag, Tag)
+                .join(Tag, MemoryTag.tag_id == Tag.id)
+                .where(MemoryTag.memory_id == memory_id)
+            ).all()
+            tags = [
+                {"id": tag.id, "name": tag.name, "source": mt.source}
+                for mt, tag in memory_tags
+            ]
+
+            return {
+                "id": memory.id,
+                "type": memory.type,
+                "title": memory.title,
+                "content": memory.content,
+                "summary": memory.summary,
+                "video_path": memory.video_path,
+                "video_format": memory.video_format,
+                "video_duration": memory.video_duration,
+                "video_width": memory.video_width,
+                "video_height": memory.video_height,
+                "thumbnail_path": memory.thumbnail_path,
+                "video_processing_status": memory.video_processing_status,
+                "audio_path": memory.audio_path,
+                "audio_format": memory.audio_format,
+                "transcript": memory.transcript,
+                "transcription_status": memory.transcription_status,
+                "media_source": memory.media_source,
+                "transcript_segments": (
+                    json.loads(memory.transcript_segments)
+                    if memory.transcript_segments
+                    else None
+                ),
+                "tags": tags,
+                "created_at": memory.created_at.isoformat(),
+            }
+
+    return await run_sync(_get)
+
+
+async def delete_video_memory(memory_id: int) -> dict | None:
+    """Delete a video memory and return paths for cleanup.
+
+    Returns:
+        Dict with video_path, audio_path, and thumbnail_path for file cleanup,
+        or None if not found
+    """
+    def _delete():
+        with get_session_maker()() as session:
+            memory = session.get(Memory, memory_id)
+            if not memory or memory.type != "video":
+                return None
+            paths = {
+                "video_path": memory.video_path,
+                "audio_path": memory.audio_path,
+                "thumbnail_path": memory.thumbnail_path,
+            }
+            session.delete(memory)
+            session.commit()
+            return paths
+
+    return await run_sync(_delete)
diff --git a/backend/app/db/migrations.py b/backend/app/db/migrations.py
index 3b731e6..4a02efa 100644
--- a/backend/app/db/migrations.py
+++ b/backend/app/db/migrations.py
@@ -507,6 +507,52 @@ def migration_016(conn: Connection) -> None:
             ), {"key": f"api_key_{new_provider}", "value": old_key_result[0]})
 
 
+@migration(17, "Add media memory columns for voice, audio, and video")
+def migration_017(conn: Connection) -> None:
+    """Add all columns for media memory support (voice memos, audio uploads, video).
+
+    Columns added:
+    - Audio: audio_path, audio_format, audio_duration, transcript, transcription_status,
+             transcript_segments, media_source
+    - Video: video_path, video_format, video_duration, thumbnail_path, video_width,
+             video_height, video_processing_status
+    """
+    result = conn.execute(text("PRAGMA table_info(memories)")).fetchall()
+    columns = [row[1] for row in result]
+
+    # Audio/voice columns
+    if "audio_path" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN audio_path VARCHAR(500)"))
+    if "audio_format" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN audio_format VARCHAR(20)"))
+    if "audio_duration" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN audio_duration REAL"))
+    if "transcript" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN transcript TEXT"))
+    if "transcription_status" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN transcription_status VARCHAR(20)"))
+    if "transcript_segments" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN transcript_segments TEXT"))
+    if "media_source" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN media_source VARCHAR(20)"))
+
+    # Video columns
+    if "video_path" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN video_path VARCHAR(500)"))
+    if "video_format" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN video_format VARCHAR(20)"))
+    if "video_duration" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN video_duration REAL"))
+    if "thumbnail_path" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN thumbnail_path VARCHAR(500)"))
+    if "video_width" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN video_width INTEGER"))
+    if "video_height" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN video_height INTEGER"))
+    if "video_processing_status" not in columns:
+        conn.execute(text("ALTER TABLE memories ADD COLUMN video_processing_status VARCHAR(20)"))
+
+
 # --- Migration runner ---
 
 def run_migrations(conn: Connection) -> list[tuple[int, str]]:
diff --git a/backend/app/main.py b/backend/app/main.py
index a721446..da02e83 100644
--- a/backend/app/main.py
+++ b/backend/app/main.py
@@ -5,9 +5,11 @@
 from fastapi import FastAPI, Request
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
+import httpx
 
 from .db import is_db_initialized
 from .routes import router
+from . import config
 
 # Configure logging for all app modules
 logging.basicConfig(
@@ -33,9 +35,41 @@ def filter(self, record: logging.LogRecord) -> bool:
 # Apply filter to uvicorn access logger
 logging.getLogger("uvicorn.access").addFilter(EndpointFilter())
 
+logger = logging.getLogger(__name__)
+
+
+async def check_ollama_model():
+    """Log warning if configured Ollama model is not available."""
+    if config.settings.ai_provider != "ollama":
+        return
+
+    model = config.settings.ollama_model
+    base_url = config.settings.ollama_base_url.replace("/v1", "")
+
+    try:
+        async with httpx.AsyncClient(timeout=5.0) as client:
+            response = await client.get(f"{base_url}/api/tags")
+            if response.status_code == 200:
+                models = response.json().get("models", [])
+                model_names = [m.get("name", "").split(":")[0] for m in models]
+                if model.split(":")[0] in model_names:
+                    logger.info(f"Ollama model '{model}' is available")
+                else:
+                    logger.warning(
+                        f"Ollama model '{model}' not found - "
+                        "AI features will fail until model is downloaded via Setup Wizard"
+                    )
+    except httpx.ConnectError:
+        logger.warning("Ollama is not running")
+    except Exception as e:
+        logger.warning(f"Could not check Ollama: {e}")
+
 
 @asynccontextmanager
 async def lifespan(app: FastAPI):
+    # Check Ollama model availability (logs warning if missing)
+    await check_ollama_model()
+
     # Start native messaging socket server for secure extension communication
     from .native_messaging import start_native_messaging_server, stop_native_messaging_server
 
diff --git a/backend/app/models.py b/backend/app/models.py
index 89b0bc1..7311788 100644
--- a/backend/app/models.py
+++ b/backend/app/models.py
@@ -1,5 +1,5 @@
 from datetime import datetime
-from sqlalchemy import String, Text, DateTime, LargeBinary, ForeignKey, Integer
+from sqlalchemy import String, Text, DateTime, LargeBinary, ForeignKey, Integer, Float
 from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
 
 
@@ -11,8 +11,9 @@ class Memory(Base):
     __tablename__ = "memories"
 
     id: Mapped[int] = mapped_column(primary_key=True)
-    type: Mapped[str] = mapped_column(String(20), default="web")
+    type: Mapped[str] = mapped_column(String(20), default="web")  # "web" | "note" | "voice_memo" | "audio" | "video"
     url: Mapped[str | None] = mapped_column(String(2048), nullable=True)
+    media_source: Mapped[str | None] = mapped_column(String(20), nullable=True)  # "recording" | "upload"
     title: Mapped[str | None] = mapped_column(String(500), nullable=True)
     original_title: Mapped[str | None] = mapped_column(String(500), nullable=True)
     content: Mapped[str | None] = mapped_column(Text, nullable=True)
@@ -23,6 +24,23 @@ class Memory(Base):
     processing_attempts: Mapped[int] = mapped_column(Integer, default=0)
     created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
 
+    # Voice memory fields
+    audio_path: Mapped[str | None] = mapped_column(String(500), nullable=True)
+    audio_format: Mapped[str | None] = mapped_column(String(20), nullable=True)
+    audio_duration: Mapped[float | None] = mapped_column(Float, nullable=True)
+    transcript: Mapped[str | None] = mapped_column(Text, nullable=True)
+    transcription_status: Mapped[str | None] = mapped_column(String(20), nullable=True)  # "pending" | "processing" | "completed" | "failed"
+    transcript_segments: Mapped[str | None] = mapped_column(Text, nullable=True)  # JSON array of {start, end, text}
+
+    # Video memory fields
+    video_path: Mapped[str | None] = mapped_column(String(500), nullable=True)
+    video_format: Mapped[str | None] = mapped_column(String(20), nullable=True)  # mp4, webm, mov, mkv, avi
+    video_duration: Mapped[float | None] = mapped_column(Float, nullable=True)
+    thumbnail_path: Mapped[str | None] = mapped_column(String(500), nullable=True)
+    video_width: Mapped[int | None] = mapped_column(Integer, nullable=True)
+    video_height: Mapped[int | None] = mapped_column(Integer, nullable=True)
+    video_processing_status: Mapped[str | None] = mapped_column(String(20), nullable=True)  # "pending_extraction" | "extracting" | "ready" | "failed"
+
     tags: Mapped[list["MemoryTag"]] = relationship(back_populates="memory", cascade="all, delete-orphan")
 
 
diff --git a/backend/app/routes/__init__.py b/backend/app/routes/__init__.py
index 999f6f8..d70970d 100644
--- a/backend/app/routes/__init__.py
+++ b/backend/app/routes/__init__.py
@@ -6,6 +6,8 @@
 from .settings import router as settings_router
 from .conversations import router as conversations_router
 from .jobs import router as jobs_router
+from .media import router as media_router
+from .video import router as video_router
 
 router = APIRouter()
 router.include_router(auth_router)
@@ -14,3 +16,5 @@
 router.include_router(settings_router)
 router.include_router(conversations_router)
 router.include_router(jobs_router)
+router.include_router(media_router)
+router.include_router(video_router)
diff --git a/backend/app/routes/auth.py b/backend/app/routes/auth.py
index 4b0ede2..a17f783 100644
--- a/backend/app/routes/auth.py
+++ b/backend/app/routes/auth.py
@@ -3,6 +3,8 @@
 from ..config import reload_settings
 from ..db import init_db, is_db_initialized, db_exists, reset_db_connection
 from ..services.secrets import derive_db_key, set_api_key, get_api_key, delete_api_key
+from ..services.audio_storage import set_encryption_key as set_audio_encryption_key, clear_encryption_key as clear_audio_encryption_key
+from ..services.video_storage import set_encryption_key as set_video_encryption_key, clear_encryption_key as clear_video_encryption_key
 from ..schemas import SetPasswordRequest, UnlockRequest, ApiKeyRequest
 
 
@@ -28,6 +30,10 @@ async def setup_password(request: SetPasswordRequest):
     await init_db(db_key)
     reload_settings()  # Load settings from newly created DB
 
+    # Initialize encryption keys for media storage
+    set_audio_encryption_key(request.password)
+    set_video_encryption_key(request.password)
+
     return {"success": True}
 
 
@@ -44,6 +50,11 @@ async def unlock(request: UnlockRequest):
         raise HTTPException(status_code=401, detail="Invalid password")
 
     reload_settings()  # Load settings from unlocked DB
+
+    # Initialize encryption keys for media storage
+    set_audio_encryption_key(request.password)
+    set_video_encryption_key(request.password)
+
     return {"success": True}
 
 
@@ -51,6 +62,9 @@ async def unlock(request: UnlockRequest):
 async def logout():
     """Lock the database (logout)."""
     reset_db_connection()
+    # Clear media encryption keys
+    clear_audio_encryption_key()
+    clear_video_encryption_key()
     return {"success": True}
 
 
diff --git a/backend/app/routes/media.py b/backend/app/routes/media.py
new file mode 100644
index 0000000..7179af8
--- /dev/null
+++ b/backend/app/routes/media.py
@@ -0,0 +1,279 @@
+"""Media memory API routes (voice memos and audio uploads)."""
+import asyncio
+import logging
+
+from fastapi import APIRouter, HTTPException, UploadFile, File
+from fastapi.responses import StreamingResponse
+
+from ..db.crud import (
+    create_media_memory,
+    get_media_memory,
+    get_memory,
+    delete_media_memory,
+    reset_transcription_status_if_not_processing,
+)
+from ..services.audio_storage import save_audio_file, read_audio_file, delete_audio_file
+from ..services.audio_utils import (
+    validate_audio_format,
+    get_format_from_mime,
+    get_audio_duration,
+    SUPPORTED_FORMATS,
+)
+from ..services.ai_processing import process_voice_memory_async
+from ..events import event_manager, MemoryEvent, EventType
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/api/media", tags=["media"])
+
+# File size limits (in bytes)
+MAX_AUDIO_SIZE = 100 * 1024 * 1024  # 100 MB
+
+
+@router.post("/record")
+async def record_voice_memo(file: UploadFile = File(...)):
+    """Upload a voice memo from a quick recording.
+
+    Accepts multipart form data with an audio file.
+    Supported formats: mp3, wav, m4a, webm, ogg, flac
+    Max size: 100 MB
+    """
+    if not file.filename:
+        raise HTTPException(status_code=400, detail="No filename provided")
+
+    # Validate format from filename or content type
+    audio_format = validate_audio_format(file.filename)
+    if not audio_format and file.content_type:
+        audio_format = get_format_from_mime(file.content_type)
+
+    if not audio_format:
+        raise HTTPException(
+            status_code=400,
+            detail=f"Unsupported audio format. Supported: {', '.join(SUPPORTED_FORMATS)}"
+        )
+
+    # Read file content
+    audio_data = await file.read()
+    if not audio_data:
+        raise HTTPException(status_code=400, detail="Empty audio file")
+
+    # Check file size
+    if len(audio_data) > MAX_AUDIO_SIZE:
+        raise HTTPException(
+            status_code=413,
+            detail=f"File too large. Maximum size is {MAX_AUDIO_SIZE // (1024 * 1024)} MB"
+        )
+
+    # Extract duration
+    duration = get_audio_duration(audio_data, audio_format)
+
+    # Save encrypted audio file
+    audio_path = save_audio_file(audio_data, audio_format)
+
+    # Create voice memo record
+    initial_title = "Voice Memo"
+    memory = await create_media_memory(
+        title=initial_title,
+        audio_path=audio_path,
+        audio_format=audio_format,
+        memory_type="voice_memo",
+        media_source="recording",
+        audio_duration=duration,
+    )
+
+    memory_id = memory["id"]
+
+    # Emit creation event
+    full_memory = await get_memory(memory_id)
+    await event_manager.publish(
+        MemoryEvent(
+            type=EventType.MEMORY_CREATED,
+            memory_id=memory_id,
+            data=full_memory,
+        )
+    )
+
+    # Start background processing (transcription + AI)
+    asyncio.create_task(process_voice_memory_async(memory_id))
+
+    logger.info(f"Created voice memo {memory_id}")
+    return memory
+
+
+@router.post("/upload")
+async def upload_audio(file: UploadFile = File(...)):
+    """Upload an audio file for transcription.
+
+    Accepts multipart form data with an audio file.
+    Supported formats: mp3, wav, m4a, webm, ogg, flac
+    Max size: 100 MB
+    """
+    if not file.filename:
+        raise HTTPException(status_code=400, detail="No filename provided")
+
+    # Validate format from filename or content type
+    audio_format = validate_audio_format(file.filename)
+    if not audio_format and file.content_type:
+        audio_format = get_format_from_mime(file.content_type)
+
+    if not audio_format:
+        raise HTTPException(
+            status_code=400,
+            detail=f"Unsupported audio format. Supported: {', '.join(SUPPORTED_FORMATS)}"
+        )
+
+    # Read file content
+    audio_data = await file.read()
+    if not audio_data:
+        raise HTTPException(status_code=400, detail="Empty audio file")
+
+    # Check file size
+    if len(audio_data) > MAX_AUDIO_SIZE:
+        raise HTTPException(
+            status_code=413,
+            detail=f"File too large. Maximum size is {MAX_AUDIO_SIZE // (1024 * 1024)} MB"
+        )
+
+    # Extract duration
+    duration = get_audio_duration(audio_data, audio_format)
+
+    # Save encrypted audio file
+    audio_path = save_audio_file(audio_data, audio_format)
+
+    # Create audio memory record with original filename as title
+    initial_title = file.filename.rsplit(".", 1)[0] if "." in file.filename else file.filename
+    memory = await create_media_memory(
+        title=initial_title,
+        audio_path=audio_path,
+        audio_format=audio_format,
+        memory_type="audio",
+        media_source="upload",
+        audio_duration=duration,
+    )
+
+    memory_id = memory["id"]
+
+    # Emit creation event
+    full_memory = await get_memory(memory_id)
+    await event_manager.publish(
+        MemoryEvent(
+            type=EventType.MEMORY_CREATED,
+            memory_id=memory_id,
+            data=full_memory,
+        )
+    )
+
+    # Start background processing (transcription + AI)
+    asyncio.create_task(process_voice_memory_async(memory_id))
+
+    logger.info(f"Created audio memory {memory_id} from {file.filename}")
+    return memory
+
+
+@router.get("/{memory_id}/stream")
+async def stream_audio(memory_id: int):
+    """Stream the audio file for playback.
+
+    Returns the decrypted audio with appropriate content type.
+    """
+    memory = await get_media_memory(memory_id)
+    if not memory:
+        raise HTTPException(status_code=404, detail="Media memory not found")
+
+    audio_path = memory.get("audio_path")
+    if not audio_path:
+        raise HTTPException(status_code=404, detail="Audio file not found")
+
+    audio_format = memory.get("audio_format", "mp3")
+
+    try:
+        audio_data = read_audio_file(audio_path)
+    except FileNotFoundError:
+        raise HTTPException(status_code=404, detail="Audio file not found on disk")
+
+    # Determine content type
+    content_type_map = {
+        "mp3": "audio/mpeg",
+        "wav": "audio/wav",
+        "m4a": "audio/mp4",
+        "webm": "audio/webm",
+        "ogg": "audio/ogg",
+        "flac": "audio/flac",
+    }
+    content_type = content_type_map.get(audio_format, "audio/mpeg")
+
+    # Stream the audio data
+    async def audio_generator():
+        # Yield in chunks for efficient streaming
+        chunk_size = 64 * 1024  # 64KB chunks
+        for i in range(0, len(audio_data), chunk_size):
+            yield audio_data[i:i + chunk_size]
+
+    return StreamingResponse(
+        audio_generator(),
+        media_type=content_type,
+        headers={
+            "Content-Length": str(len(audio_data)),
+            "Accept-Ranges": "bytes",
+        }
+    )
+
+
+@router.post("/{memory_id}/retry")
+async def retry_transcription(memory_id: int):
+    """Retry transcription for a failed media memory."""
+    memory = await get_media_memory(memory_id)
+    if not memory:
+        raise HTTPException(status_code=404, detail="Media memory not found")
+
+    # Atomically reset status to pending only if not already processing
+    # This prevents race conditions when multiple retry requests come in
+    status_reset = await reset_transcription_status_if_not_processing(memory_id)
+    if not status_reset:
+        raise HTTPException(
+            status_code=400,
+            detail="Transcription is already in progress"
+        )
+
+    # Fetch complete memory for SSE event
+    updated_memory = await get_media_memory(memory_id)
+
+    # Emit update event with full memory data
+    await event_manager.publish(
+        MemoryEvent(
+            type=EventType.MEMORY_UPDATED,
+            memory_id=memory_id,
+            data=updated_memory,
+        )
+    )
+
+    # Start background processing
+    asyncio.create_task(process_voice_memory_async(memory_id))
+
+    logger.info(f"Retrying transcription for media memory {memory_id}")
+    return {"success": True, "message": "Transcription retry started"}
+
+
+@router.delete("/{memory_id}")
+async def delete_media_memory_endpoint(memory_id: int):
+    """Delete a media memory and its audio file."""
+    # Delete from database and get audio path
+    audio_path = await delete_media_memory(memory_id)
+
+    if audio_path is None:
+        raise HTTPException(status_code=404, detail="Media memory not found")
+
+    # Delete the audio file
+    delete_audio_file(audio_path)
+
+    # Emit deletion event
+    await event_manager.publish(
+        MemoryEvent(
+            type=EventType.MEMORY_DELETED,
+            memory_id=memory_id,
+            data=None,
+        )
+    )
+
+    logger.info(f"Deleted media memory {memory_id}")
+    return {"deleted": True}
diff --git a/backend/app/routes/settings.py b/backend/app/routes/settings.py
index 91d8283..e673668 100644
--- a/backend/app/routes/settings.py
+++ b/backend/app/routes/settings.py
@@ -610,3 +610,58 @@ async def get_embedding_model_impact() -> EmbeddingModelImpact:
         affected_count=affected_count,
         current_model=current_model,
     )
+
+
+# Transcription (Whisper) settings
+
+class TranscriptionSettings(BaseModel):
+    whisper_model: str
+
+
+class TranscriptionModelInfo(BaseModel):
+    name: str
+    description: str
+    size_mb: int
+
+
+# Whisper model options with descriptions
+WHISPER_MODEL_INFO = [
+    {"name": "tiny", "description": "Fastest, least accurate", "size_mb": 75},
+    {"name": "base", "description": "Good balance of speed and accuracy (recommended)", "size_mb": 145},
+    {"name": "small", "description": "More accurate, slower", "size_mb": 465},
+    {"name": "medium", "description": "Most accurate, slowest", "size_mb": 1500},
+]
+
+
+@router.get("/settings/transcription")
+async def get_transcription_settings() -> TranscriptionSettings:
+    """Get current transcription settings."""
+    from ..services.transcription import get_whisper_model_setting
+
+    whisper_model = await get_whisper_model_setting()
+    return TranscriptionSettings(whisper_model=whisper_model)
+
+
+@router.post("/settings/transcription")
+async def update_transcription_settings(settings: TranscriptionSettings):
+    """Update transcription settings."""
+    from ..services.transcription import WHISPER_MODELS, unload_whisper_model
+
+    if settings.whisper_model not in WHISPER_MODELS:
+        raise HTTPException(
+            status_code=400,
+            detail=f"Invalid model. Choose from: {', '.join(WHISPER_MODELS)}"
+        )
+
+    await set_setting("whisper_model", settings.whisper_model)
+
+    # Unload the current model so it will be reloaded with new settings
+    unload_whisper_model()
+
+    return {"success": True, "whisper_model": settings.whisper_model}
+
+
+@router.get("/settings/transcription-models")
+async def get_transcription_models() -> list[TranscriptionModelInfo]:
+    """Get available Whisper models with descriptions."""
+    return [TranscriptionModelInfo(**m) for m in WHISPER_MODEL_INFO]
diff --git a/backend/app/routes/video.py b/backend/app/routes/video.py
new file mode 100644
index 0000000..adea36f
--- /dev/null
+++ b/backend/app/routes/video.py
@@ -0,0 +1,409 @@
+"""Video memory API routes."""
+import asyncio
+import logging
+
+from fastapi import APIRouter, HTTPException, UploadFile, File, Form
+from fastapi.responses import StreamingResponse
+
+from ..db.crud import (
+    create_video_memory,
+    get_video_memory,
+    get_memory,
+    delete_video_memory,
+    update_video_audio,
+    update_video_thumbnail,
+    update_video_processing_status,
+    reset_transcription_status_if_not_processing,
+)
+from ..services.video_storage import (
+    save_video_file,
+    read_video_file,
+    delete_video_file,
+    save_thumbnail,
+    read_thumbnail,
+    delete_thumbnail,
+)
+from ..services.audio_storage import (
+    save_audio_file,
+    read_audio_file,
+    delete_audio_file,
+)
+from ..services.ai_processing import process_voice_memory_async
+from ..events import event_manager, MemoryEvent, EventType
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/api/video", tags=["video"])
+
+# File size limits (in bytes)
+MAX_VIDEO_SIZE = 500 * 1024 * 1024  # 500 MB
+MAX_AUDIO_SIZE = 100 * 1024 * 1024  # 100 MB for extracted audio
+MAX_THUMBNAIL_SIZE = 10 * 1024 * 1024  # 10 MB for thumbnails
+
+# Supported video formats
+SUPPORTED_VIDEO_FORMATS = {"mp4", "webm", "mov", "mkv", "avi"}
+SUPPORTED_VIDEO_MIMES = {
+    "video/mp4": "mp4",
+    "video/webm": "webm",
+    "video/quicktime": "mov",
+    "video/x-matroska": "mkv",
+    "video/x-msvideo": "avi",
+}
+
+
+def validate_video_format(filename: str) -> str | None:
+    """Extract and validate video format from filename."""
+    if "." not in filename:
+        return None
+    ext = filename.rsplit(".", 1)[1].lower()
+    return ext if ext in SUPPORTED_VIDEO_FORMATS else None
+
+
+def get_format_from_mime(mime_type: str) -> str | None:
+    """Get video format from MIME type."""
+    return SUPPORTED_VIDEO_MIMES.get(mime_type)
+
+
+@router.post("/upload")
+async def upload_video(
+    file: UploadFile = File(...),
+    duration: float = Form(None),
+    width: int = Form(None),
+    height: int = Form(None),
+):
+    """Upload a video file.
+
+    Accepts multipart form data with:
+    - file: The video file
+    - duration: Video duration in seconds (from frontend metadata)
+    - width: Video width in pixels
+    - height: Video height in pixels
+
+    Supported formats: mp4, webm, mov, mkv, avi
+    Max size: 500 MB
+    """
+    if not file.filename:
+        raise HTTPException(status_code=400, detail="No filename provided")
+
+    # Validate format from filename or content type
+    video_format = validate_video_format(file.filename)
+    if not video_format and file.content_type:
+        video_format = get_format_from_mime(file.content_type)
+
+    if not video_format:
+        raise HTTPException(
+            status_code=400,
+            detail=f"Unsupported video format. Supported: {', '.join(SUPPORTED_VIDEO_FORMATS)}"
+        )
+
+    # Validate dimensions (if provided)
+    if duration is not None and (duration < 0 or duration > 86400):  # Max 24 hours
+        raise HTTPException(status_code=400, detail="Invalid video duration")
+    if width is not None and (width < 1 or width > 7680):  # Max 8K
+        raise HTTPException(status_code=400, detail="Invalid video width")
+    if height is not None and (height < 1 or height > 4320):  # Max 8K
+        raise HTTPException(status_code=400, detail="Invalid video height")
+
+    # Read file content
+    video_data = await file.read()
+    if not video_data:
+        raise HTTPException(status_code=400, detail="Empty video file")
+
+    # Check file size
+    if len(video_data) > MAX_VIDEO_SIZE:
+        raise HTTPException(
+            status_code=413,
+            detail=f"File too large. Maximum size is {MAX_VIDEO_SIZE // (1024 * 1024)} MB"
+        )
+
+    # Save encrypted video file
+    video_path = save_video_file(video_data, video_format)
+
+    # Create video memory record with original filename as title
+    initial_title = file.filename.rsplit(".", 1)[0] if "." in file.filename else file.filename
+    memory = await create_video_memory(
+        title=initial_title,
+        video_path=video_path,
+        video_format=video_format,
+        video_duration=duration,
+        video_width=width,
+        video_height=height,
+        media_source="upload",
+    )
+
+    memory_id = memory["id"]
+
+    # Emit creation event
+    full_memory = await get_memory(memory_id)
+    await event_manager.publish(
+        MemoryEvent(
+            type=EventType.MEMORY_CREATED,
+            memory_id=memory_id,
+            data=full_memory,
+        )
+    )
+
+    logger.info(f"Created video memory {memory_id} from {file.filename}")
+    return memory
+
+
+@router.post("/{memory_id}/audio")
+async def upload_extracted_audio(
+    memory_id: int,
+    file: UploadFile = File(...),
+):
+    """Upload extracted audio from a video.
+
+    Called by the frontend after extracting audio with ffmpeg.wasm.
+    This starts the transcription pipeline.
+    """
+    memory = await get_video_memory(memory_id)
+    if not memory:
+        raise HTTPException(status_code=404, detail="Video memory not found")
+
+    if not file.filename:
+        raise HTTPException(status_code=400, detail="No filename provided")
+
+    # Get audio format from filename
+    audio_format = "m4a"  # Default
+    if "." in file.filename:
+        ext = file.filename.rsplit(".", 1)[1].lower()
+        if ext in {"m4a", "mp3", "wav", "webm", "ogg", "aac"}:
+            audio_format = ext
+
+    # Read and save audio file
+    audio_data = await file.read()
+    if not audio_data:
+        raise HTTPException(status_code=400, detail="Empty audio file")
+
+    # Check file size
+    if len(audio_data) > MAX_AUDIO_SIZE:
+        raise HTTPException(
+            status_code=413,
+            detail=f"Audio file too large. Maximum size is {MAX_AUDIO_SIZE // (1024 * 1024)} MB"
+        )
+
+    audio_path = save_audio_file(audio_data, audio_format)
+
+    # Update video memory with audio info
+    await update_video_audio(memory_id, audio_path, audio_format)
+
+    # Fetch complete memory for SSE event
+    updated_memory = await get_video_memory(memory_id)
+
+    # Emit update event with full memory data
+    await event_manager.publish(
+        MemoryEvent(
+            type=EventType.MEMORY_UPDATED,
+            memory_id=memory_id,
+            data=updated_memory,
+        )
+    )
+
+    # Start transcription pipeline
+    asyncio.create_task(process_voice_memory_async(memory_id))
+
+    logger.info(f"Added extracted audio to video memory {memory_id}")
+    return {"success": True, "audio_path": audio_path}
+
+
+@router.post("/{memory_id}/thumbnail")
+async def upload_thumbnail(
+    memory_id: int,
+    file: UploadFile = File(...),
+):
+    """Upload a thumbnail for a video.
+
+    Called by the frontend after generating thumbnail with ffmpeg.wasm.
+    """
+    memory = await get_video_memory(memory_id)
+    if not memory:
+        raise HTTPException(status_code=404, detail="Video memory not found")
+
+    # Read thumbnail data
+    thumbnail_data = await file.read()
+    if not thumbnail_data:
+        raise HTTPException(status_code=400, detail="Empty thumbnail file")
+
+    # Check file size
+    if len(thumbnail_data) > MAX_THUMBNAIL_SIZE:
+        raise HTTPException(
+            status_code=413,
+            detail=f"Thumbnail too large. Maximum size is {MAX_THUMBNAIL_SIZE // (1024 * 1024)} MB"
+        )
+
+    # Get image format (default to jpg)
+    image_format = "jpg"
+    if file.filename and "." in file.filename:
+        ext = file.filename.rsplit(".", 1)[1].lower()
+        if ext in {"jpg", "jpeg", "png", "webp"}:
+            image_format = ext
+
+    # Save encrypted thumbnail
+    thumbnail_path = save_thumbnail(thumbnail_data, image_format)
+
+    # Update video memory
+    await update_video_thumbnail(memory_id, thumbnail_path)
+
+    # Fetch complete memory for SSE event
+    updated_memory = await get_video_memory(memory_id)
+
+    # Emit update event with full memory data
+    await event_manager.publish(
+        MemoryEvent(
+            type=EventType.MEMORY_UPDATED,
+            memory_id=memory_id,
+            data=updated_memory,
+        )
+    )
+
+    logger.info(f"Added thumbnail to video memory {memory_id}")
+    return {"success": True, "thumbnail_path": thumbnail_path}
+
+
+@router.get("/{memory_id}/stream")
+async def stream_video(memory_id: int):
+    """Stream the video file for playback.
+
+    Returns the decrypted video with appropriate content type.
+    """
+    memory = await get_video_memory(memory_id)
+    if not memory:
+        raise HTTPException(status_code=404, detail="Video memory not found")
+
+    video_path = memory.get("video_path")
+    if not video_path:
+        raise HTTPException(status_code=404, detail="Video file not found")
+
+    video_format = memory.get("video_format", "mp4")
+
+    try:
+        video_data = read_video_file(video_path)
+    except FileNotFoundError:
+        raise HTTPException(status_code=404, detail="Video file not found on disk")
+
+    # Determine content type
+    content_type_map = {
+        "mp4": "video/mp4",
+        "webm": "video/webm",
+        "mov": "video/quicktime",
+        "mkv": "video/x-matroska",
+        "avi": "video/x-msvideo",
+    }
+    content_type = content_type_map.get(video_format, "video/mp4")
+
+    # Stream the video data
+    async def video_generator():
+        # Yield in chunks for efficient streaming
+        chunk_size = 256 * 1024  # 256KB chunks for video
+        for i in range(0, len(video_data), chunk_size):
+            yield video_data[i:i + chunk_size]
+
+    return StreamingResponse(
+        video_generator(),
+        media_type=content_type,
+        headers={
+            "Content-Length": str(len(video_data)),
+            "Accept-Ranges": "bytes",
+        }
+    )
+
+
+@router.get("/{memory_id}/thumbnail")
+async def get_thumbnail(memory_id: int):
+    """Get the thumbnail image for a video."""
+    memory = await get_video_memory(memory_id)
+    if not memory:
+        raise HTTPException(status_code=404, detail="Video memory not found")
+
+    thumbnail_path = memory.get("thumbnail_path")
+    if not thumbnail_path:
+        raise HTTPException(status_code=404, detail="Thumbnail not found")
+
+    try:
+        thumbnail_data = read_thumbnail(thumbnail_path)
+    except FileNotFoundError:
+        raise HTTPException(status_code=404, detail="Thumbnail file not found on disk")
+
+    # Determine content type from path
+    content_type = "image/jpeg"
+    if thumbnail_path.endswith(".png.enc"):
+        content_type = "image/png"
+    elif thumbnail_path.endswith(".webp.enc"):
+        content_type = "image/webp"
+
+    return StreamingResponse(
+        iter([thumbnail_data]),
+        media_type=content_type,
+        headers={"Content-Length": str(len(thumbnail_data))},
+    )
+
+
+@router.post("/{memory_id}/retry")
+async def retry_transcription(memory_id: int):
+    """Retry transcription for a failed video memory."""
+    memory = await get_video_memory(memory_id)
+    if not memory:
+        raise HTTPException(status_code=404, detail="Video memory not found")
+
+    if not memory.get("audio_path"):
+        raise HTTPException(
+            status_code=400,
+            detail="Audio not yet extracted. Please retry audio extraction first."
+        )
+
+    # Atomically reset status to pending only if not already processing
+    status_reset = await reset_transcription_status_if_not_processing(memory_id)
+    if not status_reset:
+        raise HTTPException(
+            status_code=400,
+            detail="Transcription is already in progress"
+        )
+
+    # Fetch complete memory for SSE event
+    updated_memory = await get_video_memory(memory_id)
+
+    # Emit update event with full memory data
+    await event_manager.publish(
+        MemoryEvent(
+            type=EventType.MEMORY_UPDATED,
+            memory_id=memory_id,
+            data=updated_memory,
+        )
+    )
+
+    # Start background processing
+    asyncio.create_task(process_voice_memory_async(memory_id))
+
+    logger.info(f"Retrying transcription for video memory {memory_id}")
+    return {"success": True, "message": "Transcription retry started"}
+
+
+@router.delete("/{memory_id}")
+async def delete_video_memory_endpoint(memory_id: int):
+    """Delete a video memory and all its files."""
+    # Delete from database and get paths
+    paths = await delete_video_memory(memory_id)
+
+    if paths is None:
+        raise HTTPException(status_code=404, detail="Video memory not found")
+
+    # Delete all associated files
+    if paths.get("video_path"):
+        delete_video_file(paths["video_path"])
+    if paths.get("audio_path"):
+        delete_audio_file(paths["audio_path"])
+    if paths.get("thumbnail_path"):
+        delete_thumbnail(paths["thumbnail_path"])
+
+    # Emit deletion event
+    await event_manager.publish(
+        MemoryEvent(
+            type=EventType.MEMORY_DELETED,
+            memory_id=memory_id,
+            data=None,
+        )
+    )
+
+    logger.info(f"Deleted video memory {memory_id}")
+    return {"deleted": True}
diff --git a/backend/app/services/ai_processing.py b/backend/app/services/ai_processing.py
index e841a1d..abac6d8 100644
--- a/backend/app/services/ai_processing.py
+++ b/backend/app/services/ai_processing.py
@@ -5,12 +5,15 @@
 
 from .ai import get_client, get_model
 from .embeddings import get_embedding, get_current_embedding_model
+from .transcription import transcribe_audio
 from ..db.crud import (
     get_memory,
     update_memory_summary,
     update_memory_embedding_summary,
     update_memory_title,
     update_memory_embedding,
+    update_memory_transcript,
+    update_transcription_status,
     add_tags_to_memory,
     get_all_tags,
     update_conversation_title,
@@ -350,3 +353,195 @@ async def process_conversation_title_async(conversation_id: int, message: str) -
 
     except Exception as e:
         logger.error(f"Failed to process conversation title {conversation_id}: {e}")
+
+
+async def generate_voice_title(transcript: str) -> str:
+    """Generate a concise title from a voice transcript."""
+    client = await get_client()
+    model = get_model()
+
+    prompt = f"""Generate a concise, descriptive title for this voice note transcript.
+
+Transcript: {transcript[:1000]}
+
+Requirements:
+- 5-10 words maximum
+- Capture the main topic or key point
+- Be informative and scannable
+
+Title:"""
+
+    try:
+        response = await client.chat.completions.create(
+            model=model,
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant that creates concise, descriptive titles for voice notes. Respond with only the title, no quotes or extra formatting."},
+                {"role": "user", "content": prompt}
+            ],
+            max_tokens=50,
+        )
+        title = response.choices[0].message.content.strip() if response.choices[0].message.content else ""
+        # Remove quotes if the model wrapped the title
+        if title.startswith('"') and title.endswith('"'):
+            title = title[1:-1]
+        return title
+    except Exception as e:
+        logger.error(f"Failed to generate voice title: {e}")
+        return ""
+
+
+async def process_voice_memory_async(memory_id: int) -> None:
+    """Background task to process a media memory (voice memo or audio upload).
+
+    Pipeline:
+    1. Set status to "processing"
+    2. Transcribe audio via faster-whisper
+    3. Store transcript
+    4. Generate title from transcript
+    5. Generate summary, embedding_summary, tags
+    6. Create embedding from embedding_summary
+    7. Set status to "completed"
+    8. Emit MEMORY_UPDATED event
+    """
+    try:
+        # Get the memory
+        memory = await get_memory(memory_id)
+        if not memory:
+            logger.error(f"Media memory {memory_id} not found for processing")
+            return
+
+        memory_type = memory.get("type")
+        if memory_type not in ("voice_memo", "audio", "voice", "video"):
+            logger.error(f"Memory {memory_id} is not a media memory (type={memory_type})")
+            return
+
+        audio_path = memory.get("audio_path")
+        if not audio_path:
+            logger.error(f"Voice memory {memory_id} has no audio_path")
+            await update_transcription_status(memory_id, "failed")
+            await event_manager.publish(
+                MemoryEvent(
+                    type=EventType.MEMORY_UPDATED,
+                    memory_id=memory_id,
+                    data={"transcription_status": "failed"},
+                )
+            )
+            return
+
+        # 1. Set status to processing
+        await update_transcription_status(memory_id, "processing")
+
+        # Emit update event for processing status
+        await event_manager.publish(
+            MemoryEvent(
+                type=EventType.MEMORY_UPDATED,
+                memory_id=memory_id,
+                data={"transcription_status": "processing"},
+            )
+        )
+
+        # 2. Transcribe the audio
+        logger.info(f"Starting transcription for voice memory {memory_id}")
+        transcript, segments = await transcribe_audio(audio_path)
+
+        if not transcript or not transcript.strip():
+            logger.warning(f"Transcription produced no text for memory {memory_id}")
+            await update_transcription_status(memory_id, "failed")
+            await event_manager.publish(
+                MemoryEvent(
+                    type=EventType.MEMORY_UPDATED,
+                    memory_id=memory_id,
+                    data={"transcription_status": "failed"},
+                )
+            )
+            return
+
+        # 3. Store transcript and segments
+        await update_memory_transcript(memory_id, transcript, segments)
+        logger.info(
+            f"Stored transcript for voice memory {memory_id}: "
+            f"{len(transcript)} chars, {len(segments)} segments"
+        )
+
+        # Get existing tags for context
+        all_tags = await get_all_tags()
+        existing_tag_names = [t["name"] for t in all_tags]
+
+        # 4-5. Generate title, summary, embedding_summary, and tags in parallel
+        tasks = [
+            generate_voice_title(transcript),
+            generate_summary(transcript, ""),
+            generate_embedding_summary(transcript, ""),
+            generate_tags(transcript, "", existing_tag_names),
+        ]
+        results = await asyncio.gather(*tasks)
+
+        title = results[0]
+        summary = results[1]
+        embedding_summary = results[2]
+        tags = results[3]
+
+        updated = False
+
+        # Update title
+        if title:
+            await update_memory_title(memory_id, title)
+            logger.info(f"Updated voice memory {memory_id} title: '{title}'")
+            updated = True
+
+        # Update summary
+        if summary:
+            await update_memory_summary(memory_id, summary)
+            logger.info(f"Updated voice memory {memory_id} with summary")
+            updated = True
+
+        # Update embedding summary and create embedding
+        if embedding_summary:
+            await update_memory_embedding_summary(memory_id, embedding_summary)
+            logger.info(f"Updated voice memory {memory_id} with embedding summary")
+            updated = True
+
+            # 6. Create embedding from embedding_summary
+            try:
+                if embedding_summary.strip():
+                    embedding = await get_embedding(embedding_summary)
+                    embedding_model = get_current_embedding_model()
+                    await update_memory_embedding(memory_id, embedding, embedding_model)
+                    logger.info(f"Created embedding for voice memory {memory_id}")
+            except Exception as e:
+                logger.error(f"Failed to create embedding for voice memory {memory_id}: {e}")
+
+        # Add AI-generated tags
+        if tags:
+            await add_tags_to_memory(memory_id, tags, source="ai")
+            logger.info(f"Added {len(tags)} AI tags to voice memory {memory_id}: {tags}")
+            updated = True
+
+        # 7. Set status to completed
+        await update_transcription_status(memory_id, "completed")
+
+        # 8. Emit update event (always emit, even if AI generation failed)
+        updated_memory = await get_memory(memory_id)
+        await event_manager.publish(
+            MemoryEvent(
+                type=EventType.MEMORY_UPDATED,
+                memory_id=memory_id,
+                data=updated_memory,
+            )
+        )
+        logger.info(f"Emitted update event for voice memory {memory_id}")
+
+    except Exception as e:
+        logger.error(f"Failed to process voice memory {memory_id}: {e}")
+        # Set status to failed and notify frontend
+        try:
+            await update_transcription_status(memory_id, "failed")
+            await event_manager.publish(
+                MemoryEvent(
+                    type=EventType.MEMORY_UPDATED,
+                    memory_id=memory_id,
+                    data={"transcription_status": "failed"},
+                )
+            )
+        except Exception:
+            pass
diff --git a/backend/app/services/audio_storage.py b/backend/app/services/audio_storage.py
new file mode 100644
index 0000000..9fe76bb
--- /dev/null
+++ b/backend/app/services/audio_storage.py
@@ -0,0 +1,180 @@
+"""Encrypted audio file storage service for voice memories."""
+import hashlib
+import logging
+import uuid
+from pathlib import Path
+import platform
+import os
+
+from cryptography.fernet import Fernet, InvalidToken
+import base64
+
+from .secrets import get_or_create_salt
+
+logger = logging.getLogger(__name__)
+
+
+def _validate_path_within_directory(file_path: Path, base_dir: Path) -> None:
+    """Validate that file_path resolves within base_dir to prevent path traversal attacks."""
+    try:
+        resolved_path = file_path.resolve()
+        resolved_base = base_dir.resolve()
+        if not resolved_path.is_relative_to(resolved_base):
+            raise ValueError(f"Path traversal attempt detected: {file_path}")
+    except (ValueError, RuntimeError) as e:
+        raise ValueError(f"Invalid file path: {file_path}") from e
+
+# In-memory cache for the derived encryption key
+_encryption_key: bytes | None = None
+
+
+def _get_audio_dir() -> Path:
+    """Get the audio storage directory based on platform."""
+    system = platform.system()
+    if system == "Darwin":
+        data_dir = Path.home() / "Library" / "Application Support" / "Think" / "audio"
+    elif system == "Windows":
+        data_dir = Path(os.environ.get("LOCALAPPDATA", Path.home())) / "Think" / "audio"
+    else:
+        data_dir = Path.home() / ".local" / "share" / "Think" / "audio"
+    data_dir.mkdir(parents=True, exist_ok=True)
+    return data_dir
+
+
+def derive_encryption_key(master_password: str) -> bytes:
+    """Derive a Fernet encryption key from the master password.
+
+    Uses the same salt as the database key derivation for consistency.
+    """
+    salt = get_or_create_salt()
+    # Use PBKDF2 to derive a key, but with a different context than DB key
+    key_material = hashlib.pbkdf2_hmac(
+        'sha256',
+        (master_password + "_audio").encode(),  # Add context to differentiate from DB key
+        salt.encode(),
+        100000,
+        dklen=32  # Fernet requires 32 bytes
+    )
+    # Fernet requires base64-encoded 32-byte key
+    return base64.urlsafe_b64encode(key_material)
+
+
+def set_encryption_key(master_password: str) -> None:
+    """Set the encryption key from the master password.
+
+    Called after successful database unlock.
+    """
+    global _encryption_key
+    _encryption_key = derive_encryption_key(master_password)
+
+
+def clear_encryption_key() -> None:
+    """Clear the encryption key (on logout)."""
+    global _encryption_key
+    _encryption_key = None
+
+
+def _get_fernet() -> Fernet:
+    """Get the Fernet instance for encryption/decryption."""
+    if _encryption_key is None:
+        raise RuntimeError("Encryption key not set. Database must be unlocked first.")
+    return Fernet(_encryption_key)
+
+
+def save_audio_file(audio_data: bytes, audio_format: str) -> str:
+    """Save an audio file with encryption.
+
+    Args:
+        audio_data: Raw audio file bytes
+        audio_format: File format (e.g., "mp3", "wav", "webm")
+
+    Returns:
+        Relative path to the encrypted file (e.g., "abc123.mp3.enc")
+    """
+    fernet = _get_fernet()
+
+    # Generate unique filename
+    filename = f"{uuid.uuid4()}.{audio_format}.enc"
+    file_path = _get_audio_dir() / filename
+
+    # Encrypt and save
+    encrypted_data = fernet.encrypt(audio_data)
+    file_path.write_bytes(encrypted_data)
+
+    logger.info(f"Saved encrypted audio file: {filename}")
+    return filename
+
+
+def read_audio_file(relative_path: str) -> bytes:
+    """Read and decrypt an audio file.
+
+    Args:
+        relative_path: Relative path returned by save_audio_file
+
+    Returns:
+        Decrypted audio file bytes
+
+    Raises:
+        ValueError: If path traversal attempt detected
+        FileNotFoundError: If audio file doesn't exist
+        RuntimeError: If decryption fails
+    """
+    fernet = _get_fernet()
+    base_dir = _get_audio_dir()
+    file_path = base_dir / relative_path
+
+    _validate_path_within_directory(file_path, base_dir)
+
+    if not file_path.exists():
+        raise FileNotFoundError(f"Audio file not found: {relative_path}")
+
+    encrypted_data = file_path.read_bytes()
+    try:
+        return fernet.decrypt(encrypted_data)
+    except InvalidToken:
+        logger.error(f"Decryption failed for audio file: {relative_path}")
+        raise RuntimeError("Failed to decrypt audio file. The file may be corrupted or the encryption key may have changed.")
+
+
+def delete_audio_file(relative_path: str) -> bool:
+    """Delete an encrypted audio file.
+
+    Args:
+        relative_path: Relative path returned by save_audio_file
+
+    Returns:
+        True if file was deleted, False if it didn't exist
+
+    Raises:
+        ValueError: If path traversal attempt detected
+    """
+    base_dir = _get_audio_dir()
+    file_path = base_dir / relative_path
+
+    _validate_path_within_directory(file_path, base_dir)
+
+    if file_path.exists():
+        file_path.unlink()
+        logger.info(f"Deleted audio file: {relative_path}")
+        return True
+    return False
+
+
+def get_audio_file_path(relative_path: str) -> Path:
+    """Get the full path to an audio file.
+
+    Args:
+        relative_path: Relative path returned by save_audio_file
+
+    Returns:
+        Full Path object to the file
+
+    Raises:
+        ValueError: If path traversal attempt detected
+    """
+    base_dir = _get_audio_dir()
+    file_path = base_dir / relative_path
+
+    _validate_path_within_directory(file_path, base_dir)
+
+    return file_path
diff --git a/backend/app/services/audio_utils.py b/backend/app/services/audio_utils.py
new file mode 100644
index 0000000..b8b6e4d
--- /dev/null
+++ b/backend/app/services/audio_utils.py
@@ -0,0 +1,136 @@
+"""Audio utilities for format validation and metadata extraction."""
+import io
+import logging
+from pathlib import Path
+
+from mutagen import File as MutagenFile
+from mutagen.mp3 import MP3
+from mutagen.wave import WAVE
+from mutagen.mp4 import MP4
+from mutagen.oggopus import OggOpus
+from mutagen.oggvorbis import OggVorbis
+from mutagen.flac import FLAC
+
+logger = logging.getLogger(__name__)
+
+# Supported audio formats
+SUPPORTED_FORMATS = {"mp3", "wav", "m4a", "webm", "ogg", "flac"}
+
+# MIME type to format mapping
+MIME_TO_FORMAT = {
+    "audio/mpeg": "mp3",
+    "audio/mp3": "mp3",
+    "audio/wav": "wav",
+    "audio/wave": "wav",
+    "audio/x-wav": "wav",
+    "audio/mp4": "m4a",
+    "audio/x-m4a": "m4a",
+    "audio/m4a": "m4a",
+    "audio/webm": "webm",
+    "audio/ogg": "ogg",
+    "audio/flac": "flac",
+    "audio/x-flac": "flac",
+}
+
+
+def validate_audio_format(filename: str) -> str | None:
+    """Validate that a filename has a supported audio extension.
+
+    Args:
+        filename: The filename to validate
+
+    Returns:
+        The lowercase format extension if valid, None otherwise
+    """
+    ext = Path(filename).suffix.lower().lstrip(".")
+    if ext in SUPPORTED_FORMATS:
+        return ext
+    return None
+
+
+def get_format_from_mime(mime_type: str) -> str | None:
+    """Get audio format from MIME type.
+
+    Args:
+        mime_type: The MIME type (e.g., "audio/mpeg")
+
+    Returns:
+        The format string if recognized, None otherwise
+    """
+    return MIME_TO_FORMAT.get(mime_type.lower())
+
+
+def get_audio_duration(audio_data: bytes, audio_format: str) -> float | None:
+    """Extract duration in seconds from audio data.
+
+    Args:
+        audio_data: Raw audio file bytes
+        audio_format: File format (e.g., "mp3", "wav")
+
+    Returns:
+        Duration in seconds, or None if extraction fails
+    """
+    try:
+        # Create a file-like object from bytes
+        audio_file = io.BytesIO(audio_data)
+
+        # Use the appropriate mutagen class based on format
+        if audio_format == "mp3":
+            audio = MP3(audio_file)
+        elif audio_format == "wav":
+            audio = WAVE(audio_file)
+        elif audio_format == "m4a":
+            audio = MP4(audio_file)
+        elif audio_format == "ogg":
+            # Try Opus first, then Vorbis
+            try:
+                audio = OggOpus(audio_file)
+            except Exception:
+                audio_file.seek(0)
+                audio = OggVorbis(audio_file)
+        elif audio_format == "flac":
+            audio = FLAC(audio_file)
+        elif audio_format == "webm":
+            # WebM is typically Opus in an EBML container
+            # mutagen doesn't directly support WebM, so we try to handle it
+            # by using the generic File approach
+            audio_file.seek(0)
+            audio = MutagenFile(audio_file)
+            if audio is None:
+                logger.warning(f"Could not parse WebM audio file")
+                return None
+        else:
+            # Try generic mutagen detection
+            audio = MutagenFile(audio_file)
+            if audio is None:
+                logger.warning(f"Unsupported audio format for duration: {audio_format}")
+                return None
+
+        duration = audio.info.length if audio and audio.info else None
+        return float(duration) if duration else None
+
+    except Exception as e:
+        logger.warning(f"Failed to extract audio duration: {e}")
+        return None
+
+
+def format_duration(seconds: float | None) -> str:
+    """Format duration in seconds to human-readable string (M:SS or H:MM:SS).
+
+    Args:
+        seconds: Duration in seconds
+
+    Returns:
+        Formatted string like "2:34" or "1:05:30"
+    """
+    if seconds is None:
+        return "0:00"
+
+    total_seconds = int(seconds)
+    hours = total_seconds // 3600
+    minutes = (total_seconds % 3600) // 60
+    secs = total_seconds % 60
+
+    if hours > 0:
+        return f"{hours}:{minutes:02d}:{secs:02d}"
+    return f"{minutes}:{secs:02d}"
diff --git a/backend/app/services/transcription.py b/backend/app/services/transcription.py
new file mode 100644
index 0000000..4578a58
--- /dev/null
+++ b/backend/app/services/transcription.py
@@ -0,0 +1,204 @@
+"""Transcription service using faster-whisper for local speech-to-text."""
+import asyncio
+import logging
+import tempfile
+import os
+from pathlib import Path
+
+from faster_whisper import WhisperModel
+
+from .audio_storage import read_audio_file
+from ..db.crud import get_setting
+
+logger = logging.getLogger(__name__)
+
+# Supported Whisper models (smallest to largest)
+WHISPER_MODELS = ["tiny", "base", "small", "medium"]
+DEFAULT_WHISPER_MODEL = "base"
+
+# Cached model instance
+_whisper_model: WhisperModel | None = None
+_loaded_model_name: str | None = None
+
+
+async def get_whisper_model_setting() -> str:
+    """Get the configured Whisper model from settings."""
+    model = await get_setting("whisper_model")
+    if model and model in WHISPER_MODELS:
+        return model
+    return DEFAULT_WHISPER_MODEL
+
+
+def _get_whisper_model(model_name: str) -> WhisperModel:
+    """Get or create the Whisper model instance.
+
+    Models are cached to avoid reloading on every transcription.
+    """
+    global _whisper_model, _loaded_model_name
+
+    if _whisper_model is not None and _loaded_model_name == model_name:
+        return _whisper_model
+
+    logger.info(f"Loading Whisper model: {model_name}")
+
+    # Use CPU by default for broader compatibility
+    # faster-whisper will use CTranslate2 which is efficient on CPU
+    _whisper_model = WhisperModel(
+        model_name,
+        device="cpu",
+        compute_type="int8",  # Use int8 quantization for faster CPU inference
+    )
+    _loaded_model_name = model_name
+
+    logger.info(f"Whisper model '{model_name}' loaded successfully")
+    return _whisper_model
+
+
+def unload_whisper_model() -> None:
+    """Unload the Whisper model to free memory."""
+    global _whisper_model, _loaded_model_name
+    _whisper_model = None
+    _loaded_model_name = None
+    logger.info("Whisper model unloaded")
+
+
+def _transcribe_audio_sync(audio_path: str, model_name: str) -> tuple[str, list[dict]]:
+    """Synchronous transcription - runs in thread pool.
+
+    This function contains all blocking operations and should be called
+    via asyncio.to_thread() to avoid blocking the event loop.
+    """
+    # Read and decrypt the audio file
+    audio_data = read_audio_file(audio_path)
+
+    # Extract format from filename (e.g., "abc123.mp3.enc" -> "mp3")
+    parts = audio_path.split(".")
+    if len(parts) >= 3:
+        audio_format = parts[-2]  # Get format before .enc
+    else:
+        audio_format = "wav"  # Default fallback
+
+    # Write to a temp file (Whisper needs a file path)
+    temp_suffix = f".{audio_format}"
+    with tempfile.NamedTemporaryFile(suffix=temp_suffix, delete=False) as temp_file:
+        temp_path = temp_file.name
+        temp_file.write(audio_data)
+
+    try:
+        # Load model and transcribe
+        model = _get_whisper_model(model_name)
+
+        # Transcribe with automatic language detection
+        segments, info = model.transcribe(
+            temp_path,
+            beam_size=5,
+            language=None,  # Auto-detect language
+            vad_filter=True,  # Filter out non-speech
+        )
+
+        # Collect segments with timestamps
+        transcript_parts = []
+        segment_list = []
+        for segment in segments:
+            text = segment.text.strip()
+            transcript_parts.append(text)
+            segment_list.append({
+                "start": round(segment.start, 2),
+                "end": round(segment.end, 2),
+                "text": text,
+            })
+
+        transcript = " ".join(transcript_parts)
+
+        logger.info(
+            f"Transcription complete: {len(transcript)} chars, "
+            f"{len(segment_list)} segments, "
+            f"language={info.language}, probability={info.language_probability:.2f}"
+        )
+
+        return transcript, segment_list
+
+    finally:
+        # Clean up temp file
+        try:
+            os.unlink(temp_path)
+        except Exception as e:
+            logger.warning(f"Failed to delete temp file: {e}")
+
+
+async def transcribe_audio(audio_path: str) -> tuple[str, list[dict]]:
+    """Transcribe an encrypted audio file.
+
+    Args:
+        audio_path: Relative path to the encrypted audio file
+
+    Returns:
+        Tuple of (full transcript text, list of segment dicts with start/end/text)
+
+    Raises:
+        Exception: If transcription fails
+    """
+    # Get configured model (async DB call)
+    model_name = await get_whisper_model_setting()
+
+    # Run blocking transcription in thread pool
+    return await asyncio.to_thread(_transcribe_audio_sync, audio_path, model_name)
+
+
+def _transcribe_audio_bytes_sync(audio_data: bytes, audio_format: str, model_name: str) -> tuple[str, list[dict]]:
+    """Synchronous transcription from bytes - runs in thread pool.
+
+    This function contains all blocking operations and should be called
+    via asyncio.to_thread() to avoid blocking the event loop.
+    """
+    # Write to temp file
+    temp_suffix = f".{audio_format}"
+    with tempfile.NamedTemporaryFile(suffix=temp_suffix, delete=False) as temp_file:
+        temp_path = temp_file.name
+        temp_file.write(audio_data)
+
+    try:
+        model = _get_whisper_model(model_name)
+
+        segments, info = model.transcribe(
+            temp_path,
+            beam_size=5,
+            language=None,
+            vad_filter=True,
+        )
+
+        transcript_parts = []
+        segment_list = []
+        for segment in segments:
+            text = segment.text.strip()
+            transcript_parts.append(text)
+            segment_list.append({
+                "start": round(segment.start, 2),
+                "end": round(segment.end, 2),
+                "text": text,
+            })
+
+        return " ".join(transcript_parts), segment_list
+
+    finally:
+        try:
+            os.unlink(temp_path)
+        except Exception as e:
+            logger.warning(f"Failed to delete temp file: {e}")
+
+
+async def transcribe_audio_bytes(audio_data: bytes, audio_format: str) -> tuple[str, list[dict]]:
+    """Transcribe audio data directly from bytes.
+
+    Args:
+        audio_data: Raw audio bytes
+        audio_format: Audio format (e.g., "mp3", "wav")
+
+    Returns:
+        Tuple of (full transcript text, list of segment dicts with start/end/text)
+    """
+    # Get configured model (async DB call)
+    model_name = await get_whisper_model_setting()
+
+    # Run blocking transcription in thread pool
+    return await asyncio.to_thread(_transcribe_audio_bytes_sync, audio_data, audio_format, model_name)
diff --git a/backend/app/services/video_storage.py b/backend/app/services/video_storage.py
new file mode 100644
index 0000000..b5aa79c
--- /dev/null
+++ b/backend/app/services/video_storage.py
@@ -0,0 +1,272 @@
+"""Encrypted video file storage service for video memories."""
+import hashlib
+import logging
+import uuid
+from pathlib import Path
+import platform
+import os
+
+from cryptography.fernet import Fernet, InvalidToken
+import base64
+
+from .secrets import get_or_create_salt
+
+logger = logging.getLogger(__name__)
+
+
+def _validate_path_within_directory(file_path: Path, base_dir: Path) -> None:
+    """Validate that file_path resolves within base_dir to prevent path traversal attacks."""
+    try:
+        resolved_path = file_path.resolve()
+        resolved_base = base_dir.resolve()
+        if not resolved_path.is_relative_to(resolved_base):
+            raise ValueError(f"Path traversal attempt detected: {file_path}")
+    except (ValueError, RuntimeError) as e:
+        raise ValueError(f"Invalid file path: {file_path}") from e
+
+# In-memory cache for the derived encryption key
+_encryption_key: bytes | None = None
+
+
+def _get_video_dir() -> Path:
+    """Get the video storage directory based on platform."""
+    system = platform.system()
+    if system == "Darwin":
+        data_dir = Path.home() / "Library" / "Application Support" / "Think" / "video"
+    elif system == "Windows":
+        data_dir = Path(os.environ.get("LOCALAPPDATA", Path.home())) / "Think" / "video"
+    else:
+        data_dir = Path.home() / ".local" / "share" / "Think" / "video"
+    data_dir.mkdir(parents=True, exist_ok=True)
+    return data_dir
+
+
+def _get_thumbnail_dir() -> Path:
+    """Get the thumbnail storage directory based on platform."""
+    system = platform.system()
+    if system == "Darwin":
+        data_dir = Path.home() / "Library" / "Application Support" / "Think" / "thumbnails"
+    elif system == "Windows":
+        data_dir = Path(os.environ.get("LOCALAPPDATA", Path.home())) / "Think" / "thumbnails"
+    else:
+        data_dir = Path.home() / ".local" / "share" / "Think" / "thumbnails"
+    data_dir.mkdir(parents=True, exist_ok=True)
+    return data_dir
+
+
+def derive_encryption_key(master_password: str) -> bytes:
+    """Derive a Fernet encryption key from the master password.
+
+    Uses the same salt as the database key derivation for consistency.
+    """
+    salt = get_or_create_salt()
+    # Use PBKDF2 to derive a key, but with a different context than DB key
+    key_material = hashlib.pbkdf2_hmac(
+        'sha256',
+        (master_password + "_video").encode(),  # Add context to differentiate from DB key
+        salt.encode(),
+        100000,
+        dklen=32  # Fernet requires 32 bytes
+    )
+    # Fernet requires base64-encoded 32-byte key
+    return base64.urlsafe_b64encode(key_material)
+
+
+def set_encryption_key(master_password: str) -> None:
+    """Set the encryption key from the master password.
+
+    Called after successful database unlock.
+    """
+    global _encryption_key
+    _encryption_key = derive_encryption_key(master_password)
+
+
+def clear_encryption_key() -> None:
+    """Clear the encryption key (on logout)."""
+    global _encryption_key
+    _encryption_key = None
+
+
+def _get_fernet() -> Fernet:
+    """Get the Fernet instance for encryption/decryption."""
+    if _encryption_key is None:
+        raise RuntimeError("Encryption key not set. Database must be unlocked first.")
+    return Fernet(_encryption_key)
+
+
+def save_video_file(video_data: bytes, video_format: str) -> str:
+    """Save a video file with encryption.
+
+    Args:
+        video_data: Raw video file bytes
+        video_format: File format (e.g., "mp4", "webm", "mov")
+
+    Returns:
+        Relative path to the encrypted file (e.g., "abc123.mp4.enc")
+    """
+    fernet = _get_fernet()
+
+    # Generate unique filename
+    filename = f"{uuid.uuid4()}.{video_format}.enc"
+    file_path = _get_video_dir() / filename
+
+    # Encrypt and save
+    encrypted_data = fernet.encrypt(video_data)
+    file_path.write_bytes(encrypted_data)
+
+    logger.info(f"Saved encrypted video file: {filename}")
+    return filename
+
+
+def read_video_file(relative_path: str) -> bytes:
+    """Read and decrypt a video file.
+
+    Args:
+        relative_path: Relative path returned by save_video_file
+
+    Returns:
+        Decrypted video file bytes
+
+    Raises:
+        ValueError: If path traversal attempt detected
+        FileNotFoundError: If video file doesn't exist
+        RuntimeError: If decryption fails
+    """
+    fernet = _get_fernet()
+    base_dir = _get_video_dir()
+    file_path = base_dir / relative_path
+
+    _validate_path_within_directory(file_path, base_dir)
+
+    if not file_path.exists():
+        raise FileNotFoundError(f"Video file not found: {relative_path}")
+
+    encrypted_data = file_path.read_bytes()
+    try:
+        return fernet.decrypt(encrypted_data)
+    except InvalidToken:
+        logger.error(f"Decryption failed for video file: {relative_path}")
+        raise RuntimeError("Failed to decrypt video file. The file may be corrupted or the encryption key may have changed.")
+
+
+def delete_video_file(relative_path: str) -> bool:
+    """Delete an encrypted video file.
+
+    Args:
+        relative_path: Relative path returned by save_video_file
+
+    Returns:
+        True if file was deleted, False if it didn't exist
+
+    Raises:
+        ValueError: If path traversal attempt detected
+    """
+    base_dir = _get_video_dir()
+    file_path = base_dir / relative_path
+
+    _validate_path_within_directory(file_path, base_dir)
+
+    if file_path.exists():
+        file_path.unlink()
+        logger.info(f"Deleted video file: {relative_path}")
+        return True
+    return False
+
+
+def get_video_file_path(relative_path: str) -> Path:
+    """Get the full path to a video file.
+
+    Args:
+        relative_path: Relative path returned by save_video_file
+
+    Returns:
+        Full Path object to the file
+
+    Raises:
+        ValueError: If path traversal attempt detected
+    """
+    base_dir = _get_video_dir()
+    file_path = base_dir / relative_path
+
+    _validate_path_within_directory(file_path, base_dir)
+
+    return file_path
+
+
+def save_thumbnail(thumbnail_data: bytes, image_format: str = "jpg") -> str:
+    """Save a thumbnail image with encryption.
+
+    Args:
+        thumbnail_data: Raw image file bytes
+        image_format: File format (e.g., "jpg", "png")
+
+    Returns:
+        Relative path to the encrypted file (e.g., "abc123.jpg.enc")
+    """
+    fernet = _get_fernet()
+
+    # Generate unique filename
+    filename = f"{uuid.uuid4()}.{image_format}.enc"
+    file_path = _get_thumbnail_dir() / filename
+
+    # Encrypt and save
+    encrypted_data = fernet.encrypt(thumbnail_data)
+    file_path.write_bytes(encrypted_data)
+
+    logger.info(f"Saved encrypted thumbnail: {filename}")
+    return filename
+
+
+def read_thumbnail(relative_path: str) -> bytes:
+    """Read and decrypt a thumbnail image.
+
+    Args:
+        relative_path: Relative path returned by save_thumbnail
+
+    Returns:
+        Decrypted image file bytes
+
+    Raises:
+        ValueError: If path traversal attempt detected
+        FileNotFoundError: If thumbnail doesn't exist
+        RuntimeError: If decryption fails
+    """
+    fernet = _get_fernet()
+    base_dir = _get_thumbnail_dir()
+    file_path = base_dir / relative_path
+
+    _validate_path_within_directory(file_path, base_dir)
+
+    if not file_path.exists():
+        raise FileNotFoundError(f"Thumbnail not found: {relative_path}")
+
+    encrypted_data = file_path.read_bytes()
+    try:
+        return fernet.decrypt(encrypted_data)
+    except InvalidToken:
+        logger.error(f"Decryption failed for thumbnail: {relative_path}")
+        raise RuntimeError("Failed to decrypt thumbnail. The file may be corrupted or the encryption key may have changed.")
+
+
+def delete_thumbnail(relative_path: str) -> bool:
+    """Delete an encrypted thumbnail file.
+
+    Args:
+        relative_path: Relative path returned by save_thumbnail
+
+    Returns:
+        True if file was deleted, False if it didn't exist
+
+    Raises:
+        ValueError: If path traversal attempt detected
+    """
+    base_dir = _get_thumbnail_dir()
+    file_path = base_dir / relative_path
+
+    _validate_path_within_directory(file_path, base_dir)
+
+    if file_path.exists():
+        file_path.unlink()
+        logger.info(f"Deleted thumbnail: {relative_path}")
+        return True
+    return False
diff --git a/backend/pyproject.toml b/backend/pyproject.toml
index 0af422f..1c42ad8 100644
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@@ -18,8 +18,13 @@ rotki-pysqlcipher3 = "^2024.10.1"
 sqlalchemy = {extras = ["asyncio"], version = "^2.0.0"}
 sqlite-vec = "^0.1.0"
 numpy = "^2.0.0"
+# Voice memory support
+faster-whisper = "^1.0.0"
+mutagen = "^1.47.0"
+cryptography = "^43.0.0"
 # Windows-only: pywin32 for native messaging stub
 pywin32 = {version = "^306", markers = "sys_platform == 'win32'"}
+python-multipart = "^0.0.21"
 
 [tool.poetry.group.dev.dependencies]
 pyinstaller = "^6.0.0"
diff --git a/package.json b/package.json
index f864819..e415a2a 100644
--- a/package.json
+++ b/package.json
@@ -21,5 +21,8 @@
     "@commitlint/cli": "^20.2.0",
     "@commitlint/config-conventional": "^20.2.0",
     "husky": "^9.1.7"
+  },
+  "pnpm": {
+    "onlyBuiltDependencies": ["ffmpeg-static"]
   }
 }
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index e3f80e2..761b0ec 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -56,6 +56,9 @@ importers:
       electron-updater:
         specifier: ^6.6.2
         version: 6.6.2
+      ffmpeg-static:
+        specifier: ^5.2.0
+        version: 5.3.0
       lucide-react:
         specifier: ^0.460.0
         version: 0.460.0(react@18.3.1)
@@ -111,6 +114,9 @@ importers:
       postcss:
         specifier: ^8.4.49
         version: 8.5.6
+      sharp:
+        specifier: ^0.34.5
+        version: 0.34.5
       tailwindcss:
         specifier: ^3.4.15
         version: 3.4.18
@@ -399,6 +405,10 @@ packages:
     resolution: {integrity: sha512-KTy0OqRDLR5y/zZMnizyx09z/rPlPC/zKhYgH8o/q6PuAjoQAKlRfY4zzv0M64yybQ//6//4H1n14pxaLZfUnA==}
     engines: {node: '>=v18'}
 
+  '@derhuerst/http-basic@8.2.4':
+    resolution: {integrity: sha512-F9rL9k9Xjf5blCz8HsJRO4diy111cayL2vkY2XE4r4t3n0yPXVYy3KD3nJ1qbrSn9743UWSXH4IwuCa/HWlGFw==}
+    engines: {node: '>=6.0.0'}
+
   '@develar/schema-utils@2.6.5':
     resolution: {integrity: sha512-0cp4PsWQ/9avqTVMCtZ+GirikIA36ikvjtHweU4/j8yLtgObI0+JUPhYFScgwlteveGB1rt3Cm8UhN04XayDig==}
     engines: {node: '>= 8.9.0'}
@@ -434,6 +444,9 @@ packages:
     resolution: {integrity: sha512-fKpv9kg4SPmt+hY7SVBnIYULE9QJl8L3sCfcBsnqbJwwBwAeTLokJ9TRt9y7bK0JAzIW2y78TVVjvnQEms/yyA==}
     engines: {node: '>=16.4'}
 
+  '@emnapi/runtime@1.8.1':
+    resolution: {integrity: sha512-mehfKSMWjjNol8659Z8KxEMrdSJDDot5SXMq00dM8BN4o+CLNXQ0xH2V7EchNHV4RmbZLmmPdEaXZc5H2FXmDg==}
+
   '@esbuild/aix-ppc64@0.25.12':
     resolution: {integrity: sha512-Hhmwd6CInZ3dwpuGTF8fJG6yoWmsToE+vYgD4nytZVxcu1ulHpUQRAB1UJ8+N1Am3Mz4+xOByoQoSZf4D+CpkA==}
     engines: {node: '>=18'}
@@ -628,6 +641,143 @@ packages:
   '@hapi/topo@6.0.2':
     resolution: {integrity: sha512-KR3rD5inZbGMrHmgPxsJ9dbi6zEK+C3ZwUwTa+eMwWLz7oijWUTWD2pMSNNYJAU6Qq+65NkxXjqHr/7LM2Xkqg==}
 
+  '@img/colour@1.0.0':
+    resolution: {integrity: sha512-A5P/LfWGFSl6nsckYtjw9da+19jB8hkJ6ACTGcDfEJ0aE+l2n2El7dsVM7UVHZQ9s2lmYMWlrS21YLy2IR1LUw==}
+    engines: {node: '>=18'}
+
+  '@img/sharp-darwin-arm64@0.34.5':
+    resolution: {integrity: sha512-imtQ3WMJXbMY4fxb/Ndp6HBTNVtWCUI0WdobyheGf5+ad6xX8VIDO8u2xE4qc/fr08CKG/7dDseFtn6M6g/r3w==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [arm64]
+    os: [darwin]
+
+  '@img/sharp-darwin-x64@0.34.5':
+    resolution: {integrity: sha512-YNEFAF/4KQ/PeW0N+r+aVVsoIY0/qxxikF2SWdp+NRkmMB7y9LBZAVqQ4yhGCm/H3H270OSykqmQMKLBhBJDEw==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [x64]
+    os: [darwin]
+
+  '@img/sharp-libvips-darwin-arm64@1.2.4':
+    resolution: {integrity: sha512-zqjjo7RatFfFoP0MkQ51jfuFZBnVE2pRiaydKJ1G/rHZvnsrHAOcQALIi9sA5co5xenQdTugCvtb1cuf78Vf4g==}
+    cpu: [arm64]
+    os: [darwin]
+
+  '@img/sharp-libvips-darwin-x64@1.2.4':
+    resolution: {integrity: sha512-1IOd5xfVhlGwX+zXv2N93k0yMONvUlANylbJw1eTah8K/Jtpi15KC+WSiaX/nBmbm2HxRM1gZ0nSdjSsrZbGKg==}
+    cpu: [x64]
+    os: [darwin]
+
+  '@img/sharp-libvips-linux-arm64@1.2.4':
+    resolution: {integrity: sha512-excjX8DfsIcJ10x1Kzr4RcWe1edC9PquDRRPx3YVCvQv+U5p7Yin2s32ftzikXojb1PIFc/9Mt28/y+iRklkrw==}
+    cpu: [arm64]
+    os: [linux]
+
+  '@img/sharp-libvips-linux-arm@1.2.4':
+    resolution: {integrity: sha512-bFI7xcKFELdiNCVov8e44Ia4u2byA+l3XtsAj+Q8tfCwO6BQ8iDojYdvoPMqsKDkuoOo+X6HZA0s0q11ANMQ8A==}
+    cpu: [arm]
+    os: [linux]
+
+  '@img/sharp-libvips-linux-ppc64@1.2.4':
+    resolution: {integrity: sha512-FMuvGijLDYG6lW+b/UvyilUWu5Ayu+3r2d1S8notiGCIyYU/76eig1UfMmkZ7vwgOrzKzlQbFSuQfgm7GYUPpA==}
+    cpu: [ppc64]
+    os: [linux]
+
+  '@img/sharp-libvips-linux-riscv64@1.2.4':
+    resolution: {integrity: sha512-oVDbcR4zUC0ce82teubSm+x6ETixtKZBh/qbREIOcI3cULzDyb18Sr/Wcyx7NRQeQzOiHTNbZFF1UwPS2scyGA==}
+    cpu: [riscv64]
+    os: [linux]
+
+  '@img/sharp-libvips-linux-s390x@1.2.4':
+    resolution: {integrity: sha512-qmp9VrzgPgMoGZyPvrQHqk02uyjA0/QrTO26Tqk6l4ZV0MPWIW6LTkqOIov+J1yEu7MbFQaDpwdwJKhbJvuRxQ==}
+    cpu: [s390x]
+    os: [linux]
+
+  '@img/sharp-libvips-linux-x64@1.2.4':
+    resolution: {integrity: sha512-tJxiiLsmHc9Ax1bz3oaOYBURTXGIRDODBqhveVHonrHJ9/+k89qbLl0bcJns+e4t4rvaNBxaEZsFtSfAdquPrw==}
+    cpu: [x64]
+    os: [linux]
+
+  '@img/sharp-libvips-linuxmusl-arm64@1.2.4':
+    resolution: {integrity: sha512-FVQHuwx1IIuNow9QAbYUzJ+En8KcVm9Lk5+uGUQJHaZmMECZmOlix9HnH7n1TRkXMS0pGxIJokIVB9SuqZGGXw==}
+    cpu: [arm64]
+    os: [linux]
+
+  '@img/sharp-libvips-linuxmusl-x64@1.2.4':
+    resolution: {integrity: sha512-+LpyBk7L44ZIXwz/VYfglaX/okxezESc6UxDSoyo2Ks6Jxc4Y7sGjpgU9s4PMgqgjj1gZCylTieNamqA1MF7Dg==}
+    cpu: [x64]
+    os: [linux]
+
+  '@img/sharp-linux-arm64@0.34.5':
+    resolution: {integrity: sha512-bKQzaJRY/bkPOXyKx5EVup7qkaojECG6NLYswgktOZjaXecSAeCWiZwwiFf3/Y+O1HrauiE3FVsGxFg8c24rZg==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [arm64]
+    os: [linux]
+
+  '@img/sharp-linux-arm@0.34.5':
+    resolution: {integrity: sha512-9dLqsvwtg1uuXBGZKsxem9595+ujv0sJ6Vi8wcTANSFpwV/GONat5eCkzQo/1O6zRIkh0m/8+5BjrRr7jDUSZw==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [arm]
+    os: [linux]
+
+  '@img/sharp-linux-ppc64@0.34.5':
+    resolution: {integrity: sha512-7zznwNaqW6YtsfrGGDA6BRkISKAAE1Jo0QdpNYXNMHu2+0dTrPflTLNkpc8l7MUP5M16ZJcUvysVWWrMefZquA==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [ppc64]
+    os: [linux]
+
+  '@img/sharp-linux-riscv64@0.34.5':
+    resolution: {integrity: sha512-51gJuLPTKa7piYPaVs8GmByo7/U7/7TZOq+cnXJIHZKavIRHAP77e3N2HEl3dgiqdD/w0yUfiJnII77PuDDFdw==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [riscv64]
+    os: [linux]
+
+  '@img/sharp-linux-s390x@0.34.5':
+    resolution: {integrity: sha512-nQtCk0PdKfho3eC5MrbQoigJ2gd1CgddUMkabUj+rBevs8tZ2cULOx46E7oyX+04WGfABgIwmMC0VqieTiR4jg==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [s390x]
+    os: [linux]
+
+  '@img/sharp-linux-x64@0.34.5':
+    resolution: {integrity: sha512-MEzd8HPKxVxVenwAa+JRPwEC7QFjoPWuS5NZnBt6B3pu7EG2Ge0id1oLHZpPJdn3OQK+BQDiw9zStiHBTJQQQQ==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [x64]
+    os: [linux]
+
+  '@img/sharp-linuxmusl-arm64@0.34.5':
+    resolution: {integrity: sha512-fprJR6GtRsMt6Kyfq44IsChVZeGN97gTD331weR1ex1c1rypDEABN6Tm2xa1wE6lYb5DdEnk03NZPqA7Id21yg==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [arm64]
+    os: [linux]
+
+  '@img/sharp-linuxmusl-x64@0.34.5':
+    resolution: {integrity: sha512-Jg8wNT1MUzIvhBFxViqrEhWDGzqymo3sV7z7ZsaWbZNDLXRJZoRGrjulp60YYtV4wfY8VIKcWidjojlLcWrd8Q==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [x64]
+    os: [linux]
+
+  '@img/sharp-wasm32@0.34.5':
+    resolution: {integrity: sha512-OdWTEiVkY2PHwqkbBI8frFxQQFekHaSSkUIJkwzclWZe64O1X4UlUjqqqLaPbUpMOQk6FBu/HtlGXNblIs0huw==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [wasm32]
+
+  '@img/sharp-win32-arm64@0.34.5':
+    resolution: {integrity: sha512-WQ3AgWCWYSb2yt+IG8mnC6Jdk9Whs7O0gxphblsLvdhSpSTtmu69ZG1Gkb6NuvxsNACwiPV6cNSZNzt0KPsw7g==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [arm64]
+    os: [win32]
+
+  '@img/sharp-win32-ia32@0.34.5':
+    resolution: {integrity: sha512-FV9m/7NmeCmSHDD5j4+4pNI8Cp3aW+JvLoXcTUo0IqyjSfAZJ8dIUmijx1qaJsIiU+Hosw6xM5KijAWRJCSgNg==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [ia32]
+    os: [win32]
+
+  '@img/sharp-win32-x64@0.34.5':
+    resolution: {integrity: sha512-+29YMsqY2/9eFEiW93eqWnuLcWcufowXewwSNIT6UwZdUUCrM3oFjMWH/Z6/TMmb4hlFenmfAVbpWeup2jryCw==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+    cpu: [x64]
+    os: [win32]
+
   '@inquirer/external-editor@1.0.3':
     resolution: {integrity: sha512-RWbSrDiYmO4LbejWY7ttpxczuwQyZLBUyygsA9Nsv95hpzUWwnNTVQmAq3xuh7vNwCp07UTmE5i11XAEExx4RA==}
     engines: {node: '>=18'}
@@ -1317,6 +1467,9 @@ packages:
   '@types/ms@2.1.0':
     resolution: {integrity: sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA==}
 
+  '@types/node@10.17.60':
+    resolution: {integrity: sha512-F0KIgDJfy2nA3zMLmWGKxcH2ZVEtCZXHHdOQs2gSaQ27+lNeEfGxzkIw90aXswATX7AZ33tahPbzy6KAfUreVw==}
+
   '@types/node@12.20.55':
     resolution: {integrity: sha512-J8xLz7q2OFulZ2cyGTLE1TbbZcjpno7FaN6zdJNrgAdrJ+DZzh/uFR6YrTb4C+nXakvud8Q4+rbhoIWlYQbUFQ==}
 
@@ -1610,6 +1763,9 @@ packages:
   caniuse-lite@1.0.30001756:
     resolution: {integrity: sha512-4HnCNKbMLkLdhJz3TToeVWHSnfJvPaq6vu/eRP0Ahub/07n484XHhBF5AJoSGHdVrS8tKFauUQz8Bp9P7LVx7A==}
 
+  caseless@0.12.0:
+    resolution: {integrity: sha512-4tYFyifaFfGacoiObjJegolkwSU4xQNGbVgUiNYVUxbQ2x2lUsFvY4hVgVzGiIe6WLOPqycWXA40l+PWsxthUw==}
+
   ccount@2.0.1:
     resolution: {integrity: sha512-eyrF0jiFpY+3drT6383f1qhkbGsLSifNAjA61IUjZjmLCWjItY6LB9ft9YhoDgwfmclB2zhu51Lc7+95b8NRAg==}
 
@@ -1731,6 +1887,10 @@ packages:
   concat-map@0.0.1:
     resolution: {integrity: sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==}
 
+  concat-stream@2.0.0:
+    resolution: {integrity: sha512-MWufYdFw53ccGjCA+Ol7XJYpAlW6/prSMzuPOTRnJGcGzuhLn4Scrz7qf6o8bROZ514ltazcIFJZevcfbo0x7A==}
+    engines: {'0': node >= 6.0}
+
   concurrently@9.2.1:
     resolution: {integrity: sha512-fsfrO0MxV64Znoy8/l1vVIjjHa29SZyyqPgQBwhiDcaW8wJc2W3XWVOGx4M3oJBnv/zdUZIIp1gDeS98GzP8Ng==}
     engines: {node: '>=18'}
@@ -2067,6 +2227,10 @@ packages:
       picomatch:
         optional: true
 
+  ffmpeg-static@5.3.0:
+    resolution: {integrity: sha512-H+K6sW6TiIX6VGend0KQwthe+kaceeH/luE8dIZyOP35ik7ahYojDuqlTV1bOrtEwl01sy2HFNGQfi5IDJvotg==}
+    engines: {node: '>=16'}
+
   filelist@1.0.4:
     resolution: {integrity: sha512-w1cEuf3S+DrLCQL7ET6kz+gmlJdbq9J7yXCSjK/OZCPA+qEN1WyF4ZAf0YYJa4/shHJra2t/d/r8SV4Ji+x+8Q==}
 
@@ -2268,6 +2432,9 @@ packages:
     resolution: {integrity: sha512-T1gkAiYYDWYx3V5Bmyu7HcfcvL7mUrTWiM6yOfa3PIphViJ/gFPbvidQ+veqSOHci/PxBcDabeUNCzpOODJZig==}
     engines: {node: '>= 14'}
 
+  http-response-object@3.0.2:
+    resolution: {integrity: sha512-bqX0XTF6fnXSQcEJ2Iuyr75yVakyjIDCqroJQ/aHfSdlM743Cwqoi2nDYMzLGWUcuTWGWy8AAvOKXTfiv6q9RA==}
+
   http2-wrapper@1.0.3:
     resolution: {integrity: sha512-V+23sDMr12Wnz7iTcDeJr3O6AIxlnvT/bmaAAAP/Xda35C90p9599p0F1eHR/N1KILWSoWVAiOMFjBBXaXSMxg==}
     engines: {node: '>=10.19.0'}
@@ -2956,6 +3123,9 @@ packages:
     resolution: {integrity: sha512-GQ2EWRpQV8/o+Aw8YqtfZZPfNRWZYkbidE9k5rpl/hC3vtHHBfGm2Ifi6qWV+coDGkrUKZAxE3Lot5kcsRlh+g==}
     engines: {node: '>=6'}
 
+  parse-cache-control@1.0.1:
+    resolution: {integrity: sha512-60zvsJReQPX5/QP0Kzfd/VrpjScIQ7SHBW6bFCYfEP+fp0Eppr1SHhIO5nd1PjZtvclzSzES9D/p5nFJurwfWg==}
+
   parse-entities@4.0.2:
     resolution: {integrity: sha512-GG2AQYWoLgL877gQIKeRPGO1xF9+eG1ujIb5soS5gPvLQ1y2o8FL90w2QWNdf9I361Mpp7726c+lj3U0qK1uGw==}
 
@@ -3392,6 +3562,10 @@ packages:
   set-cookie-parser@2.7.2:
     resolution: {integrity: sha512-oeM1lpU/UvhTxw+g3cIfxXHyJRc/uidd3yK1P242gzHds0udQBYzs3y8j4gCCW+ZJ7ad0yctld8RYO+bdurlvw==}
 
+  sharp@0.34.5:
+    resolution: {integrity: sha512-Ou9I5Ft9WNcCbXrU9cMgPBcCK8LiwLqcbywW3t4oDV37n1pzpuNLsYiAV8eODnjbtQlSDwZ2cUEeQz4E54Hltg==}
+    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
+
   shebang-command@2.0.0:
     resolution: {integrity: sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==}
     engines: {node: '>=8'}
@@ -3614,6 +3788,9 @@ packages:
     resolution: {integrity: sha512-34R7HTnG0XIJcBSn5XhDd7nNFPRcXYRZrBB2O2jdKqYODldSzBAqzsWoZYYvduky73toYS/ESqxPvkDf/F0XMg==}
     engines: {node: '>=10'}
 
+  typedarray@0.0.6:
+    resolution: {integrity: sha512-/aCDEGatGvZ2BIk+HmLf4ifCJFwvKFNb9/JeZPMulfgFracn9QFcAf5GO8B/mweUjSoblS5In0cWhqpfs/5PQA==}
+
   typescript@5.9.3:
     resolution: {integrity: sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==}
     engines: {node: '>=14.17'}
@@ -4197,6 +4374,13 @@ snapshots:
       '@types/conventional-commits-parser': 5.0.2
       chalk: 5.6.2
 
+  '@derhuerst/http-basic@8.2.4':
+    dependencies:
+      caseless: 0.12.0
+      concat-stream: 2.0.0
+      http-response-object: 3.0.2
+      parse-cache-control: 1.0.1
+
   '@develar/schema-utils@2.6.5':
     dependencies:
       ajv: 6.12.6
@@ -4280,6 +4464,11 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  '@emnapi/runtime@1.8.1':
+    dependencies:
+      tslib: 2.8.1
+    optional: true
+
   '@esbuild/aix-ppc64@0.25.12':
     optional: true
 
@@ -4393,6 +4582,102 @@ snapshots:
     dependencies:
       '@hapi/hoek': 11.0.7
 
+  '@img/colour@1.0.0': {}
+
+  '@img/sharp-darwin-arm64@0.34.5':
+    optionalDependencies:
+      '@img/sharp-libvips-darwin-arm64': 1.2.4
+    optional: true
+
+  '@img/sharp-darwin-x64@0.34.5':
+    optionalDependencies:
+      '@img/sharp-libvips-darwin-x64': 1.2.4
+    optional: true
+
+  '@img/sharp-libvips-darwin-arm64@1.2.4':
+    optional: true
+
+  '@img/sharp-libvips-darwin-x64@1.2.4':
+    optional: true
+
+  '@img/sharp-libvips-linux-arm64@1.2.4':
+    optional: true
+
+  '@img/sharp-libvips-linux-arm@1.2.4':
+    optional: true
+
+  '@img/sharp-libvips-linux-ppc64@1.2.4':
+    optional: true
+
+  '@img/sharp-libvips-linux-riscv64@1.2.4':
+    optional: true
+
+  '@img/sharp-libvips-linux-s390x@1.2.4':
+    optional: true
+
+  '@img/sharp-libvips-linux-x64@1.2.4':
+    optional: true
+
+  '@img/sharp-libvips-linuxmusl-arm64@1.2.4':
+    optional: true
+
+  '@img/sharp-libvips-linuxmusl-x64@1.2.4':
+    optional: true
+
+  '@img/sharp-linux-arm64@0.34.5':
+    optionalDependencies:
+      '@img/sharp-libvips-linux-arm64': 1.2.4
+    optional: true
+
+  '@img/sharp-linux-arm@0.34.5':
+    optionalDependencies:
+      '@img/sharp-libvips-linux-arm': 1.2.4
+    optional: true
+
+  '@img/sharp-linux-ppc64@0.34.5':
+    optionalDependencies:
+      '@img/sharp-libvips-linux-ppc64': 1.2.4
+    optional: true
+
+  '@img/sharp-linux-riscv64@0.34.5':
+    optionalDependencies:
+      '@img/sharp-libvips-linux-riscv64': 1.2.4
+    optional: true
+
+  '@img/sharp-linux-s390x@0.34.5':
+    optionalDependencies:
+      '@img/sharp-libvips-linux-s390x': 1.2.4
+    optional: true
+
+  '@img/sharp-linux-x64@0.34.5':
+    optionalDependencies:
+      '@img/sharp-libvips-linux-x64': 1.2.4
+    optional: true
+
+  '@img/sharp-linuxmusl-arm64@0.34.5':
+    optionalDependencies:
+      '@img/sharp-libvips-linuxmusl-arm64': 1.2.4
+    optional: true
+
+  '@img/sharp-linuxmusl-x64@0.34.5':
+    optionalDependencies:
+      '@img/sharp-libvips-linuxmusl-x64': 1.2.4
+    optional: true
+
+  '@img/sharp-wasm32@0.34.5':
+    dependencies:
+      '@emnapi/runtime': 1.8.1
+    optional: true
+
+  '@img/sharp-win32-arm64@0.34.5':
+    optional: true
+
+  '@img/sharp-win32-ia32@0.34.5':
+    optional: true
+
+  '@img/sharp-win32-x64@0.34.5':
+    optional: true
+
   '@inquirer/external-editor@1.0.3(@types/node@22.19.3)':
     dependencies:
       chardet: 2.1.1
@@ -5064,6 +5349,8 @@ snapshots:
 
   '@types/ms@2.1.0': {}
 
+  '@types/node@10.17.60': {}
+
   '@types/node@12.20.55': {}
 
   '@types/node@20.19.25':
@@ -5471,6 +5758,8 @@ snapshots:
 
   caniuse-lite@1.0.30001756: {}
 
+  caseless@0.12.0: {}
+
   ccount@2.0.1: {}
 
   chalk@4.1.2:
@@ -5586,6 +5875,13 @@ snapshots:
 
   concat-map@0.0.1: {}
 
+  concat-stream@2.0.0:
+    dependencies:
+      buffer-from: 1.1.2
+      inherits: 2.0.4
+      readable-stream: 3.6.2
+      typedarray: 0.0.6
+
   concurrently@9.2.1:
     dependencies:
       chalk: 4.1.2
@@ -5976,6 +6272,15 @@ snapshots:
     optionalDependencies:
       picomatch: 4.0.3
 
+  ffmpeg-static@5.3.0:
+    dependencies:
+      '@derhuerst/http-basic': 8.2.4
+      env-paths: 2.2.1
+      https-proxy-agent: 5.0.1
+      progress: 2.0.3
+    transitivePeerDependencies:
+      - supports-color
+
   filelist@1.0.4:
     dependencies:
       minimatch: 5.1.6
@@ -6248,6 +6553,10 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
+  http-response-object@3.0.2:
+    dependencies:
+      '@types/node': 10.17.60
+
   http2-wrapper@1.0.3:
     dependencies:
       quick-lru: 5.1.1
@@ -7013,6 +7322,8 @@ snapshots:
     dependencies:
       callsites: 3.1.0
 
+  parse-cache-control@1.0.1: {}
+
   parse-entities@4.0.2:
     dependencies:
       '@types/unist': 2.0.11
@@ -7495,6 +7806,37 @@ snapshots:
 
   set-cookie-parser@2.7.2: {}
 
+  sharp@0.34.5:
+    dependencies:
+      '@img/colour': 1.0.0
+      detect-libc: 2.1.2
+      semver: 7.7.3
+    optionalDependencies:
+      '@img/sharp-darwin-arm64': 0.34.5
+      '@img/sharp-darwin-x64': 0.34.5
+      '@img/sharp-libvips-darwin-arm64': 1.2.4
+      '@img/sharp-libvips-darwin-x64': 1.2.4
+      '@img/sharp-libvips-linux-arm': 1.2.4
+      '@img/sharp-libvips-linux-arm64': 1.2.4
+      '@img/sharp-libvips-linux-ppc64': 1.2.4
+      '@img/sharp-libvips-linux-riscv64': 1.2.4
+      '@img/sharp-libvips-linux-s390x': 1.2.4
+      '@img/sharp-libvips-linux-x64': 1.2.4
+      '@img/sharp-libvips-linuxmusl-arm64': 1.2.4
+      '@img/sharp-libvips-linuxmusl-x64': 1.2.4
+      '@img/sharp-linux-arm': 0.34.5
+      '@img/sharp-linux-arm64': 0.34.5
+      '@img/sharp-linux-ppc64': 0.34.5
+      '@img/sharp-linux-riscv64': 0.34.5
+      '@img/sharp-linux-s390x': 0.34.5
+      '@img/sharp-linux-x64': 0.34.5
+      '@img/sharp-linuxmusl-arm64': 0.34.5
+      '@img/sharp-linuxmusl-x64': 0.34.5
+      '@img/sharp-wasm32': 0.34.5
+      '@img/sharp-win32-arm64': 0.34.5
+      '@img/sharp-win32-ia32': 0.34.5
+      '@img/sharp-win32-x64': 0.34.5
+
   shebang-command@2.0.0:
     dependencies:
       shebang-regex: 3.0.0
@@ -7740,6 +8082,8 @@ snapshots:
   type-fest@0.13.1:
     optional: true
 
+  typedarray@0.0.6: {}
+
   typescript@5.9.3: {}
 
   uc.micro@2.1.0: {}
diff --git a/pnpm-workspace.yaml b/pnpm-workspace.yaml
index c9105a1..18524aa 100644
--- a/pnpm-workspace.yaml
+++ b/pnpm-workspace.yaml
@@ -5,3 +5,4 @@ packages:
 onlyBuiltDependencies:
   - electron
   - esbuild
+  - sharp
diff --git a/screenshot.png b/screenshot.png
index 8e2a67adbaa020f112367d5fb2e1152e24899e37..99f5df2da2e6612f933f34c4e17ef8857dc5f01a 100644
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