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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.

araa470 source installs☆ 0 Repository stars
View source ↗InstallationSKILL.md ↗

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install araa47/local-whisper

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill 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

Source information

Source
github
Repository
openclaw/skills
Path
skills/araa47/local-whisper
Version
—
Commit
74a9c94207555e2a75df49bbe634d2caa3924ff7
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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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