Self-host transcriber
AI-powered audio and video transcription with Whisper
- Stars
- 152
- Port
- 8000 (HTTP/WebSocket server)
What is transcriber?
Transcriber is a privacy-first, self-hosted web application that transcribes audio and video files using OpenAI Whisper models. It accepts YouTube URLs or local file uploads (MP3, MP4, WAV, and more), processes them with either openai-whisper for accuracy or faster-whisper for speed, and streams real-time progress updates via WebSockets. The app includes a smart library that correlates media files with their transcripts, automatic filename sanitization, GPU acceleration with CUDA support and CPU fallback, and automatic FFmpeg installation. It runs via Docker (multi-stage, non-root) or locally with Python 3.10–3.12, using FastAPI, Alpine.js, and Tailwind CSS. The project is MIT-licensed with no paid tiers or cloud dependencies.
Should you self-host transcriber?
transcriber scores 41/100 on selfhost.directory (how scoring works) and ranks #10 of 15 in Audio Processing. It has 152 GitHub stars.
There was no stable release in the past 12 months, so check the repository's recent activity before you rely on it.
Setup is moderate: expect some configuration beyond a single command. It is MIT-licensed and written mostly in Python.
Its closest alternative on selfhost.directory is Retrieval-based-Voice-Conversion-WebUI (77/100, 38 911 stars). It scores higher overall, so compare the two before you pick. See transcriber vs Retrieval-based-Voice-Conversion-WebUI side by side.
Features
- Auto FFmpeg installation
- Dark/light mode
- Download transcripts as text
- Dual Whisper engine
- Filename sanitization
- GPU Acceleration
- Local file transcription
- Real-time progress via WebSockets
- Smart media library
- Transcription history
- YouTube URL transcription
transcriber README
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