local-whisper

name	local-whisper
description	Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
metadata	{"thinkfleetbot":{"emoji":"🎙️","requires":{"bins":["ffmpeg"]}}}

Local 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