Kevin37Li

Mlx Whisper

Design & Mediav1.0.0
By Kevin37LiUpdated 2026-05-11mlx-whisper@clawhub_kevin37li/mlx-whisper
Audio#Speech-to-Text

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.

Installs
281
Downloads
4.8K
Stars
1
Overall Rank
#1,943
Top 39% overall · Top 38% in Design & Media
PlatformInstallsDownloadsStarsComments
ClawHub ↗1614.6K1-
SkillHub ↗2814.8K1—

Platforms count differently and update at different times.

What this skill does

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

What you can do with it

  • Transcribe meeting recordings to text
  • Generate SRT subtitles for videos
  • Translate foreign audio to English text
  • Fully offline transcription without API keys

When to use it

  • Fast local transcription on an Apple Silicon Mac
  • Sensitive audio that should not leave the machine
  • Batch subtitle generation

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Transcribe meeting.mp3 to txt
Generate SRT subtitles for video.mp4
Transcribe this Chinese recording with large-v3-turbo

Monthly Trend

Downloads4.8K
3.5K4.2K4.9K2026-03 · Downloads 3.6K2026-05 · Downloads 4.1K2026-06 · Downloads 4.2K2026-07 · Downloads 4.5K2026-08 · Downloads 4.6K2026-09 · Downloads 4.8K26-0326-09
Stars1
0122026-03 · Stars 12026-05 · Stars 12026-06 · Stars 12026-07 · Stars 12026-08 · Stars 12026-09 · Stars 126-0326-09

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.

MonthDownloadsMoMStars
2026-094.8K—1
2026-084.6K+2.2%1
2026-074.5K+5.5%1
2026-064.2K+3.1%1
2026-054.1K—1
2026-033.6K—1

SKILL.md (original)

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.

1.6 KB · ClawHub v1.0.0
---
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
Show all (51 lines)
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

Popular in Design & Media

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.