Agent skill · writing content · sundial-org
local-whisper
Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
Why this skill is useful
Adds an executable script for local speech-to-text transcription using OpenAI Whisper, enabling offline functionality and high-quality output.
What it needs
Requires ffmpeg installed locally. About 1k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
Local Whisper STT Local speech-to-text using OpenAI's Whisper. Fully offline after initial model download. Usage 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:
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/local-whisper