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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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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 mlx-stt 技能。 若已安装,则直接安装 mlx-stt 技能。

Overview

Skill Key
guoqiao/mlx-stt
Author
guoqiao
Source Repo
openclaw/skills
Version
1.0.7
Source Path
skills/guoqiao/mlx-stt
Latest Commit SHA
93b85bb6e3f1d4f9a2671966c9204a420a9e0ff6

Extracted Content

SKILL.md excerpt

# 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
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
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.

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