A high-performance command-line tool for private, local speech-to-text transcription optimized for Apple Silicon.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install parakeet-mlx
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install parakeet-mlx using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Parakeet MLX is a powerful Automatic Speech Recognition (ASR) tool specifically designed to leverage the power of Apple Silicon. By utilizing the MLX framework, it provides fast and accurate transcription services entirely on-device, removing the need for cloud-based APIs or expensive subscriptions. It is a vital component for developers building local-first workflows within the Openclaw Skills framework.
The tool is built to handle various audio formats and can output transcriptions in multiple industry-standard formats. Because it runs locally, users maintain full control over their data privacy while benefiting from the hardware acceleration provided by the M-series chips.
To get started with this tool as part of your Openclaw Skills setup, ensure you have ffmpeg installed on your system. Then, install the CLI using the uv package manager:
uv tool install parakeet-mlx -U
You can verify the installation and see all available configuration options by running:
parakeet-mlx --help
The tool manages data through local file outputs and a specific cache directory for models. Below is the organizational structure:
| Data Type | Location / Format | Details |
|---|---|---|
| Models | ~/.cache/huggingface | Stores the downloaded MLX-optimized weights. |
| Transcription | .txt, .srt, .vtt | Standard text and subtitle output files. |
| Metadata | .json | Includes timestamps, segments, and confidence scores. |
| Audio Input | .mp3, .m4a, .wav, etc. | Supports any format compatible with ffmpeg. |
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