Blaizzy/mlx-audio
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
- Stars
- 8.1k
- Forks
- 765
- Open issues
- 77
- Last push
- 1d ago
About mlx-audio
mlx-audio is a free, open-source AI voice and audio tool by Blaizzy, written mainly in Python. A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon. It has 8.1k GitHub stars and 765 forks, and was last updated 1d ago. It's released under the MIT license, a standard open-source license. According to its README, it works on macOS.
- License
- MIT
- Language
- Python
- Stars
- 8,088
- Last update
- 1d ago
- Runs on Mac
- Yes (per README)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
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mlx-audio FAQ
Is mlx-audio free?
Yes. mlx-audio is open source and free to use. It's released under the MIT license, a standard open-source license.
Does mlx-audio run on a Mac?
Yes. According to its README, mlx-audio works on macOS.
Does mlx-audio need a GPU?
Its README doesn't state hardware needs. AI models generally run much faster with a GPU.
Is mlx-audio still maintained?
Yes. It was last updated 1d ago and has 77 open issues on GitHub.
What are alternatives to mlx-audio?
Similar free, open-source tools include transformers, Speech, speechbrain, VoxCPM.