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mlx-audio

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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.

GitHub Website

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Python MITCreated Nov 27, 2024

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Maintenance
Very active (1d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Personal account
As of today · Source: github_public_v1
Security (OSV)
No lockfile
As of today · Source: none

Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.

Overview

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.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 11, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 11, 2026

Categories

Model TrainingSpeech & Audio

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

- Python 3.10+
Source link

Tags

text-to-speechspeech-to-textmlxspeech-recognitionapple-siliconaudio-processingspeech-synthesismultimodal

README

Using uv to install only the command line tools

Latest release from pypi:

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

Latest code from github:

uv tool install --force git+https://github.com/Blaizzy/mlx-audio.git --prerelease=allow

Requirements

  • Python 3.10+
  • Apple Silicon Mac (M1/M2/M3/M4)
  • MLX framework
  • ffmpeg (required for MP3/FLAC/OGG/Opus/Vorbis audio encoding)