Blaizzy

    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.

    deep-learning
    apple-silicon
    audio-processing
    mlx
    multimodal
    speech-recognition
    Python
    MIT
    8.2K stars
    782 forks
    8.2K GitHub watchers
    Updated Nov 3, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest today, with 147 contributors on GitHub.

    The biggest single-day gain in the last year, +1,016 stars on Jan 26, coincided with release v0.3.0.

    Use Cases & Benefits

    • Provides text-to-speech, speech-to-text, and speech-to-speech capabilities optimized for Apple Silicon using Apple's MLX framework.
    • Delivers fast, efficient speech processing with customizable voices and adjustable speech speed on Apple M series chips.
    • Use for building multilingual TTS applications with voice customization and speed control on macOS or iOS devices.
    • Use for integrating real-time speech transcription and synthesis in web interfaces or REST API services.
    • Use for developing Swift-based on-device speech generation apps with streaming audio and playback control.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon.

    Excerpt from the Blaizzy/mlx-audio README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 18: +4

    +482 stars over 85 days across 8 snapshot days; best day +4 on Aug 18.

    Forks

    782+98

    Open issues

    107+20

    Compared with peers in Deep Learning

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    Blaizzy/mlx-audio compared with Deep Learning repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    onnx/onnx21.6K—6331 days ago
    mlc-ai/web-llm19.3K—5916 days ago
    lukas-blecher/LaTeX-OCR16.6K—18—
    milesial/Pytorch-UNet11.7K—18—
    Blaizzy/mlx-audio8.2K—35today
    SharpAI/DeepCamera3.1K—31227 days ago
    Category median16.6K—31—

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