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Neywa-Labs / 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.

Why this job: says: text to speech, speech to text, tts; topics: text-to-speech, speech-recognition, speech-to-text, speech-synthesis

Every voice task, one engine. Runs locally on your Mac. Install with pip install -U mlx-audio or try it in Nativ.

What it does

  • Fast inference optimized for Apple Silicon (M series chips)
  • Multiple model architectures for TTS, STT, STS, and music generation
  • Multilingual support across models
  • Voice customization and cloning capabilities
  • Adjustable speech speed control

Get started

uv tool install --force mlx-audio --prerelease=allow

You need: Python 3.10+; Apple Silicon Mac (M1/M2/M3/M4); MLX framework

Maintenance
Active
Last commit today
Stars
8,219
+34 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v0.6.4
Released 7 days ago
Built with
Python
98% of the code

Is it looked after?

Contributors
11
Last 90 days
Issues
81% closed
65 still open
Pull requests
619 merged
28 waiting
Releases
43
30+ in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 98%
  • TypeScript 2%
  • CSS <1%
  • JavaScript <1%

Topics

  • apple-silicon
  • audio-processing
  • mlx
  • multimodal
  • speech-recognition
  • speech-synthesis
  • speech-to-text
  • text-to-speech
  • transformers

Project record

  • JobSpeech and audio
  • StatusListed
  • Commits1,488
  • Forks790
  • Watching52
  • Stars in 28 days+200
  • CreatedNov 27, 2024
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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