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Voice & audio

remsky/Kokoro-FastAPI

Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, clone-tuning, caption timestamps, SSML, optional readalong web UI

Apache-2.0Runs on MacPython
Stars
5.6k
Forks
923
Open issues
12
Last push
8d ago

About Kokoro-FastAPI

Kokoro-FastAPI is a free, open-source AI voice and audio tool by remsky, written mainly in Python. Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, clone-tuning, caption timestamps, SSML, optional readalong web UI. It has 5.6k GitHub stars and 923 forks, and was last updated 8d ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it works on macOS.

License
Apache-2.0
Language
Python
Stars
5,577
Last update
8d ago
Runs on Mac
Yes (as stated by the project)
GPU
Not stated
Paid API key
Not stated
Self-hostable
Yes

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Kokoro-FastAPI FAQ

Is Kokoro-FastAPI free?

Yes. Kokoro-FastAPI is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.

Does Kokoro-FastAPI run on a Mac?

Yes. According to the project, Kokoro-FastAPI works on macOS.

Does Kokoro-FastAPI need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is Kokoro-FastAPI still maintained?

Yes. It was last updated 8d ago and has 12 open issues on GitHub.

What are alternatives to Kokoro-FastAPI?

Similar free, open-source tools include GPT-SoVITS, VoxCPM, Real-Time-Voice-Cloning, VoiceStudio.

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