According to AlphaMoat, as of 2026-09, Mlx Whisper has 4,830 downloads and 1 stars — ranked #1,943 of 5,078 AI skills overall, and #190 of 512 in Design & Media.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 161 | 4.6K | 1 | - |
| SkillHub ↗ | 281 | 4.8K | 1 | — |
Platforms count differently and update at different times.
This skill transcribes audio locally with MLX Whisper on Apple Silicon Macs, without an API key. It can produce TXT or SRT output, accept a language hint, or translate speech into English. Models download to a local cache on first use. The card notes that the dependency version is unpinned and recommends an isolated environment; model caches use local storage.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.8K | — | 1 |
| 2026-08 | 4.6K | +2.2% | 1 |
| 2026-07 | 4.5K | +5.5% | 1 |
| 2026-06 | 4.2K | +3.1% | 1 |
| 2026-05 | 4.1K | — | 1 |
| 2026-03 | 3.6K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: mlx-whisper
version: 1.0.0
description: Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).
homepage: https://github.com/ml-explore/mlx-examples/tree/main/whisper
metadata: {"clawdbot":{"emoji":"🍎","requires":{"bins":["mlx_whisper"]},"install":[{"id":"pip","kind":"pip","package":"mlx-whisper","bins":["mlx_whisper"],"label":"Install mlx-whisper (pip)"}]}}
---
# MLX Whisper
Local speech-to-text using Apple MLX, optimized for Apple Silicon Macs. ## Quick Start ```bash mlx_whisper /path/to/audio.mp3 --model mlx-community/whisper-large-v3-turbo ``` ## Common Usage ```bash # Transcribe to text file mlx_whisper audio.m4a -f txt -o ./output # Transcribe with language hint mlx_whisper audio.mp3 --language en --model mlx-community/whisper-large-v3-turbo # Generate subtitles (SRT) mlx_whisper video.mp4 -f srt -o ./subs # Translate to English mlx_whisper foreign.mp3 --task translate ``` ## Models (download on first use) | Model | Size | Speed | Quality | |-------|------|-------|---------| | mlx-community/whisper-tiny | ~75MB | Fastest | Basic | | mlx-community/whisper-base | ~140MB | Fast | Good | | mlx-community/whisper-small | ~470MB | Medium | Better | | mlx-community/whisper-medium | ~1.5GB | Slower | Great | | mlx-community/whisper-large-v3 | ~3GB | Slowest | Best | | mlx-community/whisper-large-v3-turbo | ~1.6GB | Fast | Excellent (Recommended) | ## Notes - Requires Apple Silicon Mac (M1/M2/M3/M4) - Models cache to `~/.cache/huggingface/` - Default model is `mlx-community/whisper-tiny`; use `--model mlx-community/whisper-large-v3-turbo` for best results
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Runs the whisper command line to transcribe audio locally.
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Pull a frame out of a video with ffmpeg, or produce a thumbnail for a quick look.
Turn audio files into text with local Whisper, running fully offline once the model is downloaded.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.