parakeet-mlx
Local speech-to-text with Parakeet MLX (ASR) for Apple Silicon (no API key).
Best use case
parakeet-mlx is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Local speech-to-text with Parakeet MLX (ASR) for Apple Silicon (no API key).
Teams using parakeet-mlx 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/parakeet-mlx/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How parakeet-mlx Compares
| Feature / Agent | parakeet-mlx | 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?
Local speech-to-text with Parakeet MLX (ASR) for Apple Silicon (no API key).
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
# Parakeet MLX (CLI) Use `parakeet-mlx` to transcribe audio locally on Apple Silicon. Quick start - `parakeet-mlx /path/audio.mp3 --output-format txt` - `parakeet-mlx /path/audio.m4a --output-format vtt --highlight-words` - `parakeet-mlx *.mp3 --output-format all` Notes - Install CLI with: `uv tool install parakeet-mlx -U` (not `uv add` or `pip install`) - Use `parakeet-mlx --help` to see all options (`--help`, not `-h`). - Models download from Hugging Face to `~/.cache/huggingface` on first run. - Default model: `mlx-community/parakeet-tdt-0.6b-v3` (optimized for Apple Silicon). - Requires `ffmpeg` installed for audio processing. - Output formats: txt, srt, vtt, json, or all. - Use `--verbose` for detailed progress and confidence scores. - Accepts multiple files (shell wildcards like `*.mp3` work).
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