| name | mlx-stt |
| description | Speech-To-Text with MLX (Apple Silicon) and GLM-ASR-Nano-2512 locally. |
| metadata | {"openclaw":{"always":true,"emoji":"🦞","homepage":"https://github.com/guoqiao/skills/blob/main/mlx-stt/mlx-stt/SKILL.md","os":["darwin"],"tags":["latest","asr","stt","speech-to-text","audio","glm","glm-asr","glm-asr-nano-2512","glm-asr-nano-2512-8bit","macOS","MacBook","Mac mini","Apple Silicon","mlx","mlx-audio"],"requires":{"bins":["brew"]}}} |
MLX STT
Speech-To-Text/ASR/Transcribe with MLX (Apple Silicon) and GLM-ASR-Nano-2512 locally.
Free and Accurate. No api key required. No server required.
Requirements
mlx: macOS with Apple Silicon
brew: used to install deps if not available
Installation
bash ${baseDir}/install.sh
This script will use brew to install these cli tools if not available:
ffmpeg: convert audio format when needed
uv: install python package and run python script
mlx_audio: do the real job
Usage
To transcribe an audio file, run the mlx-stt.py script:
uv run ${baseDir}/mlx-stt.py <audio_file_path>
- When first run, it will download model from Hugging Face, default:
mlx-community/GLM-ASR-Nano-2512-8bit, 2.5GB ish.
- The transcript result will be printed to stdout.