ParseKit

Documents → clean Markdown, on your Mac.
Menu bar · offline · no accounts · no API keys

↓ Download for Mac (Apple Silicon)  ·  Install guide  ·  Releases

See it in action

Convert files locally	See completed batches
Make ParseKit yours	Check file support

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What it does

Drop PDFs, Word, Excel, PowerPoint, or images into the menu-bar app. ParseKit converts them locally to Markdown, plain text, or JSON — ready for ChatGPT, Claude, notes apps, or RAG pipelines.

Nothing is uploaded. Your files stay on your Mac.

You get	Details
Local conversion	PDF, Office, images → .md / .txt / .json
OCR	Scanned pages become real text
Finder Quick Action	Right-click → Parse to Markdown
Hotkey + clipboard	Global shortcut (⌃⇧M)
CLI	parsekit convert for scripts and agents
Updates	In-app install when a new version ships

PDF works out of the box. Word/PowerPoint need LibreOffice; images need ImageMagick (brew install imagemagick). Settings → File Support shows what’s missing.

Install (1 minute)

1. Download the DMG
2. Open it → drag ParseKit to Applications
3. Open from Applications → look for the icon in the menu bar (top right)

First launch may be blocked by Gatekeeper (the app isn’t notarized yet). Fix once:

xattr -cr /Applications/ParseKit.app

Or right-click → Open, or use Settings → General → Copy fix command. Full steps: docs/INSTALL.md.

How people use it

• Paste into AI — convert a scan or contract, copy clean Markdown into Claude/ChatGPT
• Batch prep — drop a folder of client docs, convert once, feed the output folder into a project or RAG index
• Agent workflow — parsekit convert spec.pdf --out /tmp/spec.md before loading a PDF into context

More: skills/parsekit/SKILL.md · AGENTS.md

Privacy

Files, OCR, and conversion never leave your Mac. No telemetry. Network only for optional app updates and first-time OCR language packs.

Develop

git clone https://github.com/harshabala/parsekit.git
cd parsekit
npm install
npm run build:sidecar
npm run tauri dev

Release process: docs/RELEASING.md · Benchmarks: docs/benchmark-results.md

Credits

Created by Harsha Balakrishnan.
Powered by LiteParse · Tauri · Svelte
License: Apache-2.0