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Kokoro hexgrad/kokoro

Lightweight 82M-parameter open-weight text-to-speech model with a pip-installable Python inference library.

Kokoro at a glance

Checked 15 Oct 2026

Kokoro is an 82-million-parameter text-to-speech model (v1.0, January 2025) with 54 preset voices across 8 languages, run through the `kokoro` Python library. Code and weights are both Apache-2.0, so commercial use is allowed. It needs espeak-ng installed alongside. It does not clone voices from a sample and does no speech recognition. Hardware requirements are not documented.

Cite this pageRepoQuarry. “Kokoro.” Checked 15 Oct 2026. https://repoquarry.dev/projects/kokoro

How much of ElevenLabs does it replace?

1 of 4 jobs. Speech generation from 54 preset voices only; no voice cloning or custom voice design.

Partial: Speech generation Partial replacement
No: Voice cloning Not covered
No: Speech recognition Not covered
No: Voice agents Not covered

For voice cloning, speech recognition, voice agents, see other ElevenLabs alternatives. You may also need to build an interface, an API server and hosting yourself.

Facts, with sources

Every answer links to where we found it. We read the documentation; we did not install it.

Report a correction
QuestionAnswerSourceChecked
Runs on my machine? Confirmed: Yes, Python library runs on your own machine With Apache-licensed weights, Kokoro can be deployed anywhere from production environments to personal projects. github.com · kokoro#readme ↗ 1d ago
Code licence Confirmed: Apache-2.0 github.com · LICENSE ↗ 1d ago
Model weights licence Confirmed: Apache-2.0 (Kokoro-82M weights on Hugging Face) This is an Apache-licensed model, and Kokoro has been deployed in numerous projects and commercial APIs. huggingface.co · Kokoro-82M ↗ 1d ago
Commercial use Confirmed: Yes, Apache-2.0 code and weights This is an Apache-licensed model, and Kokoro has been deployed in numerous projects and commercial APIs. huggingface.co · Kokoro-82M ↗ 1d ago
Paid services needed? Confirmed: None required github.com · kokoro#readme ↗ 1d ago
Hardware Unknown: Not documented; the model is 82M parameters huggingface.co · Kokoro-82M ↗ 1d ago
Operating systems Confirmed: Windows, macOS (Apple Silicon GPU noted) and Linux instructions in the README On Mac M1/M2/M3/M4 devices, you can explicitly specify the environment variable PYTORCH_ENABLE_MPS_FALLBACK=1 to enable GPU acceleration. github.com · kokoro#windows-installation ↗ 1d ago
Setup effort Confirmed: Easy, pip install kokoro plus the espeak-ng system package An inference library for Kokoro-82M. You can pip install kokoro. github.com · kokoro#readme ↗ 1d ago

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