A simple, self-hosted web app for turning audio into text and subtitles, powered by OpenAI's Whisper. Upload a file, pick a model, and download .srt, .vtt, or plain .txt - with optional translation.

• Transcription with any Whisper model size (tiny → large)
• Export as .srt, .vtt, or plain .txt
• Optional timestamps - plain text export when they're off
• Optional translation of the transcript into another language
• No cloud dependency for transcription - everything runs on your own machine

This is the recommended way to run the app - it also keeps downloaded Whisper models cached between restarts.

1. Install Docker and Docker Compose
2. Clone the repo:

   git clone https://github.com/Kabanosk/whisper-website.git
   cd whisper-website

3. Start the app:

   docker compose up -d

4. Open http://127.0.0.1

To stop it: docker compose down. Your downloaded models stay cached in a Docker volume, so the next up won't re-download them.

1. Clone the repo and go into it:

   git clone https://github.com/Kabanosk/whisper-website.git
   cd whisper-website

2. Install dependencies with uv - this also creates the virtual environment:

   uv sync

3. Run it:

   cd src
   uv run uvicorn main:app --reload

4. Open http://127.0.0.1:8000 if it doesn't open automatically

You'll also need ffmpeg installed and available on your PATH for this route - the Docker image already includes it.

MIT