About local-whisper
local-whisper is a local speech-to-text skill using OpenAI's Whisper, for transcribing audio without sending it to a remote service after the model is downloaded. It offers selectable model sizes and optional timestamps or JSON output.
Key features
- 01Offline transcription after model download
- 02Selectable Whisper model sizes
- 03Automatic or specified language
- 04Word timestamps and JSON output
Use cases
- 01Transcribing audio files locally
- 02Getting timestamped transcript output
- 03Choosing a smaller model for faster processing
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/local-whisperin Claude Code to confirm it loaded.
Details
From the project READMELocal Whisper STT
Local speech-to-text using OpenAI's Whisper. Fully offline after initial model download.
Usage
# Basic
~/.thinkfleetbot/skills/local-whisper/scripts/local-whisper audio.wav
# Better model
~/.thinkfleetbot/skills/local-whisper/scripts/local-whisper audio.wav --model turbo
# With timestamps
~/.thinkfleetbot/skills/local-whisper/scripts/local-whisper audio.wav --timestamps --json
Models
| Model | Size | Notes |
|---|---|---|
tiny | 39M | Fastest |
base | 74M | Default |
small | 244M | Good balance |
turbo | 809M | Best speed/quality |
large-v3 | 1.5GB | Maximum accuracy |
Options
--model/-m— Model size (default: base)--language/-l— Language code (auto-detect if omitted)--timestamps/-t— Include word timestamps--json/-j— JSON output--quiet/-q— Suppress progress
Setup
Uses uv-managed venv at .venv/. To reinstall:
cd ~/.thinkfleetbot/skills/local-whisper
uv venv .venv --python 3.12
uv pip install --python .venv/bin/python click openai-whisper torch --index-url https://download.pytorch.org/whl/cpu
Comments
Markdown supported