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