remsky/Kokoro-FastAPI

Health v2 · maintenance only

Adoption not part of the score

5543 stars · 920 forks observed · 2026-10-14

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Dockerized FastAPI wrapper around the Kokoro-82M text-to-speech model exposing an OpenAI-compatible speech endpoint with CPU, NVIDIA, AMD, and Apple Silicon support. It adds multi-speaker generation, voice mixing, SSML, timestamped captions, and an optional read-along web UI.

Use cases

• self-host a text-to-speech API compatible with OpenAI clients
• generate audiobooks with per-word caption timestamps
• add TTS to OpenWebUI or SillyTavern
• mix multiple voices or generate multi-speaker dialogue audio
• run TTS on NVIDIA, AMD, or Apple Silicon GPUs
• convert text or phonemes to speech audio via REST API

When to choose

• you need an OpenAI-compatible TTS endpoint you can self-host
• you want GPU-accelerated Kokoro inference without writing PyTorch code
• you need long-form generation with read-along captions
• you want drop-in TTS for OpenWebUI or SillyTavern

When to avoid

• you need voice cloning of arbitrary speakers rather than fixed Kokoro voices
• you want a fully managed cloud TTS service
• you need non-Kokoro TTS models
• you cannot run Docker or Python on your host

Facets

service · maturity active

tts http-server api-framework audio-processing llm-inference speech-processing artificial-intelligence self-hosted apis self-hosted python windows kokoro openai-compatible text-to-speech fastapi gpu-inference ssml captions voice-mixing multi-speaker webui audio docker web-server linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="remsky/Kokoro-FastAPI")