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speaches: Streaming Transcription & Speech AI

Speaches provides an OpenAI API-compatible server for transcription, translation, and speech generation. It enables real-time audio processing with flexible model support and deployment.

Speaches is a server that offers OpenAI API compatibility for speech-to-text, text-to-speech, and speech generation tasks. It aims to be a versatile alternative to services like Ollama, specifically tailored for TTS/STT models. The project leverages faster-whisper for transcription and piper/Kokoro for text-to-speech, enabling real-time audio processing.

Speaches distinguishes itself through its comprehensive feature set, including OpenAI API compatibility, streaming transcription, dynamic model loading, and support for top-ranked TTS models like Kokoro and piper. Its deployment flexibility with Docker and real-time API support further enhances its usability and scalability.

  • OpenAI API Compatibility: Seamless integration with existing OpenAI tools and SDKs.
  • Streaming Transcription: Real-time transcription via SSE, avoiding full audio processing wait times.
  • Dynamic Model Loading: Automatic model loading and unloading based on request specifications.
  • Text-to-Speech: Support for high-quality text-to-speech via Kokoro and piper models.
  • GPU/CPU Support: Adaptable to different hardware configurations for optimal performance.
  • Docker Deployment: Simplified deployment via Docker Compose and Docker.
  • Realtime API: Provides a readily available API for real-time audio processing.

Speaches is an active project with a growing community and ongoing development efforts. Recent commits indicate continued maintenance and feature enhancements. The documentation is readily available, and the project features a real-time demo showcasing core functionalities. While relatively new, the project demonstrates a solid foundation.

Speaches benefits developers and researchers needing flexible, OpenAI API-compatible speech processing solutions. It addresses use cases like real-time transcription for meeting minutes, automated audio summarization, and speech-based AI interactions. It delivers value through its comprehensive features, streamlined deployment, and adaptable architecture compared to relying on individual, specialized services.

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Created
2 years ago
Commit
22 days ago
License
MIT
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Updated 17 days ago

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