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OpenClaw

local-stt

Local STT with selectable backends - Parakeet (best accuracy) or Whisper (fastest, multilingual).

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-stt

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 STT (Parakeet / Whisper)

Unified local speech-to-text using ONNX Runtime with int8 quantization. Choose your backend:

  • Parakeet (default): Best accuracy for English, correctly captures names and filler words
  • Whisper: Fastest inference, supports 99 languages

Usage

# Default: Parakeet v2 (best English accuracy)
~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg

# Explicit backend selection
~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg -b whisper
~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg -b parakeet -m v3

# Quiet mode (suppress progress)
~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg --quiet

Options

  • -b/--backend: parakeet (default), whisper
  • -m/--model: Model variant (see below)
  • --no-int8: Disable int8 quantization
  • -q/--quiet: Suppress progress
  • --room-id: Matrix room ID for direct message

Models

Parakeet (default backend)
Model Description
v2 (default) English only, best accuracy
v3 Multilingual
Whisper
Model Description
tiny Fastest, lower accuracy
base (default) Good balance
small Better accuracy
large-v3-turbo Best quality, slower

Benchmark (24s audio)

Backend/Model Time RTF Notes
Whisper Base int8 0.43s 0.018x Fastest
Parakeet v2 int8 0.60s 0.025x Best accuracy
Parakeet v3 int8 0.63s 0.026x Multilingual

openclaw.json

{
  "tools": {
    "media": {
      "audio": {
        "enabled": true,
        "models": [
          {
            "type": "cli",
            "command": "~/.openclaw/skills/local-stt/scripts/local-stt.py",
            "args": ["--quiet", "{{MediaPath}}"],
            "timeoutSeconds": 30
          }
        ]
      }
    }
  }
}

Source information

Source
github
Repository
openclaw/skills
Path
skills/araa47/local-stt
Version
—
Commit
3b0e5fe9005eefd2cd3768325aa27e766f6acda5
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 STT (Parakeet / Whisper)

Unified local speech-to-text using ONNX Runtime with int8 quantization. Choose your backend:

- **Parakeet** (default): Best accuracy for English, correctly captures names and filler words
- **Whisper**: Fastest inference, supports 99 languages

## Usage

```bash
# Default: Parakeet v2 (best English accuracy)
~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg

# Explicit backend selection
~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg -b whisper
~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg -b parakeet -m v3

# Quiet mode (suppress progress)
~/.openclaw/skills/local-stt/scripts/local-stt.py audio.ogg --quiet
```

## Options

- `-b/--backend`: `parakeet` (default), `whisper`
- `-m/--model`: Model variant (see below)
- `--no-int8`: Disable int8 quantization
- `-q/--quiet`: Suppress progress
- `--room-id`: Matrix room ID for direct message

## Models

### Parakeet (default backend)
| Model | Description |
|-------|-------------|
| **v2** (default) | English only, best accuracy |
| v3 | Multilingual |

### Whisper
| Model | Description |
|-------|-------------|
| tiny | Fastest, lower accuracy |
| **base** (default) | Good balance |
| small | Better accuracy |
| large-v3-turbo | Best quality, slower |

## Benchmark (24s audio)

| Backend/Model | Time | RTF | Notes |
|---------------|------|-----|-------|
| Whisper Base int8 | 0.43s | 0.018x | Fastest |
| **Parakeet v2 int8** | 0.60s | 0.025x | Best accuracy |
| Parakeet v3 int8 | 0.63s | 0.026x | Multilingual |

## openclaw.json

```json
{
  "tools": {
    "media": {
      "audio": {
        "enabled": true,
        "models": [
          {
            "type": "cli",
            "command": "~/.openclaw/skills/local-stt/scripts/local-stt.py",
            "args": ["--quiet", "{{MediaPath}}"],
            "timeoutSeconds": 30
          }
        ]
      }
    }
  }
}
```

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