Speaches
OpenAI API-compatible server for speech-to-text and text-to-speech
Speaches is an OpenAI API-compatible server for speech-to-text, translation, and text-to-speech, designed to be a local “model server” for voice workflows. It supports streaming and realtime interactions so applications can transcribe or generate audio with minimal integration changes.
Key Features
- OpenAI API compatibility for integrating with existing OpenAI SDKs and tools
- Streaming transcription via Server-Sent Events (SSE) for incremental results
- Speech-to-text powered by faster-whisper, with support for transcription and translation
- Text-to-speech using Piper and Kokoro models
- Realtime API support for low-latency voice interactions
- Dynamic model loading and offloading based on request parameters and inactivity
- CPU and GPU execution support
- Deployable with Docker and Docker Compose and designed to be highly configurable
Use Cases
- Replace hosted speech APIs with a self-managed, OpenAI-compatible voice backend
- Build realtime voice assistants that need streaming STT and fast TTS responses
- Batch transcription/translation pipelines for recordings with optional sentiment analysis
Speaches is a practical choice when you want OpenAI-style endpoints for voice features while retaining control over models and infrastructure. It fits well into existing OpenAI-oriented application stacks while focusing specifically on TTS/STT workloads.
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Docker
Python
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