thewh1teagle/kokoro-onnx

Health v2 · maintenance only

Adoption not part of the score

2680 stars · 298 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library that runs the Kokoro text-to-speech model via ONNX Runtime, supporting CPU and GPU inference. It provides multi-language TTS with multiple voices in a lightweight package (~300MB, ~80MB quantized).

Use cases

• convert text to speech audio in python
• generate wav files from text with kokoro tts
• run tts locally on cpu without heavy dependencies
• add voice narration to an app or pipeline
• use quantized tts model for low-resource devices
• synthesize speech in multiple languages with different voices

When to choose

• you want fast, lightweight local TTS with ONNX Runtime
• you need CPU or GPU inference without PyTorch
• you want multiple voices and multi-language support
• you need a pip-installable TTS library with model files from GitHub releases

When to avoid

• you need the highest-quality neural TTS from large models
• you need streaming real-time synthesis APIs not provided here
• you want cloud-hosted TTS with managed voices
• you need fine-grained voice cloning

Facets

library · maturity active

tts machine-learning llm-inference speech-processing machine-learning python cross-platform text-to-speech onnx-runtime kokoro speech-synthesis lightweight-models audio cpu gpu

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