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local-whisper

Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.

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ThinkfleetAI/thinkfleet-engine
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February 1, 2026 at 16:21
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SKILL.md
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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":"[Truncated]"}}}
# Local Whisper STT Local speech-to-text using OpenAI's Whisper. **Fully offline** after initial model download. ## Usage ```bash # 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: ```bash 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 ```
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