hexgrad/kokoro

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

8570 stars · 932 forks observed · 2026-08-28

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

An inference library for Kokoro-82M, an open-weight text-to-speech model with 82 million parameters that delivers quality comparable to larger models while being faster and cheaper. It provides a Python pipeline (KPipeline) supporting multiple languages and voices, built on the misaki G2P library.

Use cases

• convert text to natural-sounding speech in python
• generate voice audio for videos or podcasts
• run a lightweight tts model on cpu or gpu
• synthesize speech in multiple languages like english, japanese, or chinese
• add narration to an application with an apache-licensed tts model
• produce wav files from text offline

When to choose

• you need fast, high-quality tts with a small model footprint
• you want permissively licensed (apache-2.0) voice synthesis for commercial use
• you need multilingual speech generation from a single pipeline

When to avoid

• you need voice cloning or custom voice training
• you require streaming real-time tts with sub-100ms latency
• you need a non-python runtime without extra integration work

Facets

library · maturity active

tts speech-recognition machine-learning llm-inference speech-processing artificial-intelligence python cross-platform text-to-speech voice-synthesis lightweight-model g2p open-weights audio gpu

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markdown · JSON · MCP: product_card(name="hexgrad/kokoro")