Open-source subtitle generation for seamless content translation.
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Updated
Apr 28, 2026 - Python
Open-source subtitle generation for seamless content translation.
BanglaSpeech2Text: An open-source offline speech-to-text package for Bangla language. Fine-tuned on the latest whisper speech to text model for optimal performance.
🔊😊 A fastapi voice-assistant framework to quickly prototype LLM-powered voice assistants in <5 minutes.
High-performance Google Colab Notebook for fast & accurate audio transcription/translation using OpenAI Whisper. Accelerated on TPUs with PyTorch/XLA. Features an interactive UI for model selection, multi-language support, and long-form audio processing.
Intelligent FFMPEG agent node for ComfyUI - transforms natural language video editing prompts into automated video transformations
free macOS whisper dictation app
🎙️ The open-source AI Voice-to-Text & Universal Speech Studio. Real-time dictation, 48kHz Web Audio DSP noise cancellation, 2-Way Babel Live Translator with authentic Urdu/multilingual Neural TTS, Executive MoM PDF generator, Studio EQ mastering, and 100% offline audio tools. Powered by Gemini 2.0, GPT-4o & Claude 3.7.
A self-hostable platform on which users can create transcripts of their audio files (speech-to-text) using Whisper AI
Generates subtitles from a video speech (Whisper OpenAI LLM) or extracts existing subtitles, translates them into a different language using Mistral LLM and adds them to the video. Uses ffmpeg for extracting and encoding
French audio transcription using gradio
A real-time voice-to-text and text-to-speech AI pipeline using Whisper, an LLM, and Edge-TTS with tunable parameters for low-latency audio processing and response generation.
Subtitles Generator: Автоматический генератор субтитров для видео с поддержкой перевода на различные языки, использующий модель Whisper от OpenAI.
Free Wispr Flow & Superwhisper alternative. Native macOS voice dictation & speech-to-text. Powered by Sber GigaAM v3 & Whisper. Instant direct input under cursor via ⌥+Space, push-to-talk, offline transcription of any media files.
Real-time transformer-based ASR supporting 100+ languages - Google Cloud integration with noise cancellation & low-latency optimization
CLI that turns a YouTube URL into a text transcript: yt-dlp for the audio, Whisper for the transcription, running 100% locally with GPU support.
自动生成字幕,内容总结,章节划分 | AI-driven education video analysis using Whisper, BLIP-2, and DeepSeek
Convert YouTube videos to text files. Why spend 30 minutes watching a video when you can skim the transcript in a couple minutes?
This model predicts grammar scores (1–5) from audio files. It uses Whisper to transcribe speech to text, cleans the text, and extracts features with TF-IDF. A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results.
The Whisper Subtitle Generator leverages OpenAI's Whisper model to generate subtitles from audio and video files. This Python-based tool supports multiple languages and employs advanced audio processing techniques to ensure high accuracy in transcription.
Speech-to-Text dictation for Windows with Hotkey. Whisper.cpp running on your CPU, paste anywhere. Local. Privacy. First. No cloud, no account, no telemetry.
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