# speaches-ai/speaches

Repository: https://github.com/speaches-ai/speaches
Canonical: https://ross.abutalabs.com/products/speaches
Homepage: https://speaches.ai/
Language: Python
License: MIT
License Family: permissive
Topics: docker, docker-compose, faster-whisper, openai-api, openai-whisper-translation, whisper, whisper-ai, openai-whisper, transcription
Last push: 2026-08-26T17:40:40+00:00

## Health v2 (maintenance only)
Score: 78/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 63, longevity 59
- inputs: {"age_days": 838, "days_push": 7, "days_rel": 249, "gap_med": 17, "n_releases_24m": 8}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3621, forks 444 (observed 2026-08-28T04:08:11.830825+00:00)

## What it is
Speaches is an OpenAI API-compatible self-hosted server for speech-to-text (via faster-whisper), translation, and text-to-speech (via Kokoro and Piper), with streaming and a realtime API. It aims to be 'Ollama for TTS/STT models', with dynamic model loading/offloading and Docker deployment.

## Use cases
- self-host an OpenAI-compatible whisper transcription server
- stream transcribe audio files via API
- convert text to speech with kokoro or piper models
- translate audio to English using whisper
- build realtime voice assistant with speech-to-speech API
- replace OpenAI audio endpoints with local models
- deploy GPU or CPU speech server with docker compose

## When to choose
- you want OpenAI API compatibility but self-hosted speech models
- you need streaming transcription or a realtime audio API
- you want dynamic model loading across multiple whisper/TTS models
- you want GPU and CPU support with Docker deployment

## When to avoid
- you need the absolute highest-accuracy transcription from a managed cloud service
- you want a GUI desktop transcription app rather than an API server
- you need voice cloning or custom TTS voices beyond Kokoro/Piper

## Facets
- artifact type: service
- maturity: active
- function: speech-recognition, tts, http-server, llm-inference
- domain: speech-processing, artificial-intelligence, self-hosted, apis
- platform: self-hosted, python
- tags: whisper, faster-whisper, kokoro, piper, openai-api-compatible, transcription, translation, streaming, realtime-api, audio, docker, linux, gpu

## Member repositories
- speaches-ai/speaches (main) score 78

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:11.830825+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:31:58.230304+00:00, confidence not recorded.
  - readme: https://github.com/speaches-ai/speaches (fetched 2026-08-28T04:08:11.830825+00:00, sha 6e57ba3b4ace)
  - homepage: https://speaches.ai/ (fetched 2026-08-29T09:26:43.528730+00:00, sha 7ae24d15c78a)
  - site_page: https://speaches.ai/installation (fetched 2026-08-29T09:26:43.537888+00:00, sha d4995ac6b2fb)
- Data as of 2026-08-30T08:39:29.467469+00:00.