Kokoro provides an inference library for its open-weight 82-million-parameter text-to-speech model.
Kokoro-82M
The Kokoro-82M model provides open-weight text-to-speech with 82 million parameters.

About Kokoro-82M
Kokoro-82M is an open-weight text-to-speech model with 82 million parameters, published as a model page on Hugging Face. It turns written text into spoken audio and is described as lightweight yet comparable in quality to larger models, while being faster and more cost-efficient. Its weights are Apache-licensed, and the page states it can be deployed from production environments to personal projects. It uses the misaki grapheme-to-phoneme library under the hood.
Key features
- Text-to-speech model with 82 million parameters
- Apache-licensed weights for deployment in projects and commercial APIs
- Version 1.0 covers 8 languages and 54 voices
- Python usage via the kokoro package with soundfile and espeak-ng
- Decoder-only architecture; no diffusion and no encoder release
- Trained on permissive or non-copyrighted audio plus IPA phoneme labels
- Apache-licensed weights permit deployment in production or personal projects
- Lightweight 82M-parameter design described as faster and more cost-efficient than larger models
- Training used permissive or non-copyrighted audio and IPA phoneme labels
- Decoder-only: no encoder is released and no diffusion is used
- The model page warns that sites with 'kokoro' in the root domain are not affiliated and may be scams
- Version 0.19 was trained on under 100 hours of audio, and v1.0 on a few hundred hours
Kokoro-82M at a glance
- Category
- AI & Machine Learning › AI Voice & Audio
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Kokoro-82M alternatives
Tools and sites you could use instead, ranked by how closely they match.
This Kokoro TTS demo converts English text into speech with selectable voices and speaking speed.
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Inworld provides real-time text-to-speech, speech-to-text, and language model inference through modular APIs.
NeMo Parakeet ASR Models attain strong speech recognition accuracy while being efficient for inference. Available in CTC and RNN-Transducer variants.
UnificAlly provides one API for generating video, images, music, and speech across more than 100 AI models.
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Kokoro-82M FAQ
What licence applies to the weights?
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