mlx-stt
Speech-To-Text with MLX (Apple Silicon) and GLM-ASR-Nano-2512 locally.
Best use case
mlx-stt is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Speech-To-Text with MLX (Apple Silicon) and GLM-ASR-Nano-2512 locally.
Teams using mlx-stt should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mlx-stt/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How mlx-stt Compares
| Feature / Agent | mlx-stt | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Speech-To-Text with MLX (Apple Silicon) and GLM-ASR-Nano-2512 locally.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# ⚠️ Deprecation Notice
This skill is **deprecated** and will no longer receive updates.
Please use **mlx-audio-server** instead, which replaces this skill and provides improved functionality.
# 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
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:
```bash
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.Related Skills
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