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MLX STT

Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.

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版本1.0.7
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name: mlx-stt description: Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally. version: 1.0.7 author: guoqiao metadata: {"openclaw":{"always":true,"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 ..."

MLX STT

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.

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 this script:

bash  ${baseDir}/mlx-stt.sh <audio_file_path>
  • First run could be a little slow, since it will need to download model.
  • The transcript result will be printed to stdout.

如何使用「MLX STT」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「MLX STT技能完成任务
  4. 结果即时呈现,支持继续对话优化

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