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Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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Local 24x7 OpenAI-compatible API server for STT/TTS, powered by MLX on your Mac.
| name | mlx-stt |
| description | Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally. |
| author | guoqiao |
| metadata | {"openclaw":{"always":false,"emoji":"🦞","homepage":"https://github.com/guoqiao/skills/blob/main/mlx-stt/mlx-stt/SKILL.md","os":["darwin"],"requires":{"bins":["brew"]}}} |
| triggers | ["/mlx-stt <audio>","STT ...","ASR ...","Transcribe ...","Convert audio to text ..."] |
Speech-To-Text/ASR/Transcribe with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.
Free and Accurate. No api key required. No server required.
mlx: macOS with Apple Siliconbrew: used to install deps if not availablebash ${baseDir}/install.sh
This script will use brew to install these cli tools if not available:
ffmpeg: convert audio format when neededuv: install python package and run python scriptmlx_audio: do the real jobTo transcribe an audio file, run this script:
bash ${baseDir}/mlx-stt.sh <audio_file_path>