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Note

This project was previously named faster-whisper-server. I've decided to change the name from faster-whisper-server, as the project has evolved to support more than just transcription.

Note

These docs are a work in progress.

Speaches

speaches is an OpenAI API-compatible server supporting streaming transcription, translation, and speech generation. Speach-to-Text is powered by faster-whisper and for Text-to-Speech piper and Kokoro are used. This project aims to be Ollama, but for TTS/STT models.

Try it out on the HuggingFace Space

Features:

  • GPU and CPU support.
  • Deployable via Docker Compose / Docker
  • Highly configurable
  • OpenAI API compatible. All tools and SDKs that work with OpenAI's API should work with speaches.

  • Streaming support (transcription is sent via SSE as the audio is transcribed. You don't need to wait for the audio to fully be transcribed before receiving it).

  • Live transcription support (audio is sent via websocket as it's generated).
  • Dynamic model loading / offloading. Just specify which model you want to use in the request and it will be loaded automatically. It will then be unloaded after a period of inactivity.
  • Text-to-Speech via kokoro(Ranked #1 in the TTS Arena) and piper models.
  • Coming soon: Audio generation (chat completions endpoint) | OpenAI Documentation
    • Generate a spoken audio summary of a body of text (text in, audio out)
    • Perform sentiment analysis on a recording (audio in, text out)
    • Async speech to speech interactions with a model (audio in, audio out)
  • Coming soon: Realtime API | OpenAI Documentation

Please create an issue if you find a bug, have a question, or a feature suggestion.

Demo

Streaming Transcription

TODO

Speech Generation

Live Transcription (using WebSockets)