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Whishper is an open-source, 100% local audio transcription and subtitling suite with a full-featured web UI.

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Self-hosting docs

✨ Features

  • 🗣️ Transcribe any media to text: audio, video, etc.
    • Transcribe from URLs (any source supported by yt-dlp).
    • Upload a file to transcribe.
  • 📥 Download transcriptions in many formats: TXT, JSON, VTT, SRT or copy the raw text to your clipboard.
  • 🌐 Translate your transcriptions to any language supported by Libretranslate.
  • ✍️ Edit your subtitles in a comfy and complete web UI!
    • Transcription highlighting based on media position.
    • CPS (Characters per second) warnings.
    • Segment splitting.
    • Segment insertion.
    • Subtitle language selection.
  • 🏠 100% Local: transcription, translation and subtitle edition happen 100% on your machine (can even work offline!).
  • 🚀 Fast: uses FasterWhisper as the Whisper backend: get much faster transcription times on CPU!
  • 👍 Quick and easy setup: use the quick start script, or run through a few steps!
  • 🔥 GPU support: use your NVIDIA GPU to get even faster transcription times!
  • 🐎 CPU support: no GPU? No problem! Whishper can run on CPU too.

🧭 Roadmap

  • Local folder as media input (#15).
  • Full-text search all transcriptions.
  • User authentication.
  • Audio recording from the browser.
  • Add insanely-fast-whisper as an optional backend (#53).
  • Support for GPU acceleration.
    • Non NVIDIA GPU support. Is it possible with faster-whisper?
  • Can we do something with seamless_communication?

🩻 Project structure

Whishper is a collection of pieces that work together. The three main pieces are:

  • Transcription-API: This is the API that enables running Faster-Whisper. You can find it in the transcription-api folder.
  • Whishper-Backend: This is the backend that coordinates frontend calls, database, and tasks. You can find it in backend folder.
  • Whishper-Frontend: This is the frontend (web UI) of the application. You can find it in frontend folder.
  • Translation (3rd party): This is the libretranslate container that is used for translating subtitles.
  • MongoDB (3rd party): This is the database that stores all the information about your transcriptions.
  • Nginx (3rd party): This is the proxy that allows running everything from a single domain.

Contributing

Contributions are welcome! Feel free to open a PR with your changes, or take a look at the issues to see if there is something you can help with.

Development setup

Check out the development documentation here.

🖼️ Screenshots

These screenshots are available on the official website, click any of the following links to see:

🫀 Support

🤝 Credits

Description
Whishper with updated YouTube support and Gitea GPU image workflow
Readme AGPL-3.0 11 MiB
Languages
Svelte 44.8%
Go 27.6%
Python 9.8%
JavaScript 7%
Dockerfile 4.5%
Other 6.3%