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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.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install araa47/local-whisperExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Instructions
Local Whisper STT
Local speech-to-text using OpenAI's Whisper. Fully offline after initial model download.
Usage
# Basic
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav
# Better model
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav --model turbo
# With timestamps
~/.clawdbot/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 ~/.clawdbot/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
Informations sur la source
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/araa47/local-whisper
- Version
- —
- Commit
- 74a9c94207555e2a75df49bbe634d2caa3924ff7
- Source de classification
- rules
- Statut
- active
- Visibilité
- public
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Contenu extrait
SKILL.md
# Local Whisper STT Local speech-to-text using OpenAI's Whisper. **Fully offline** after initial model download. ## Usage ```bash # Basic ~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav # Better model ~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav --model turbo # With timestamps ~/.clawdbot/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 ~/.clawdbot/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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