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Whisper STT

Free local speech-to-text transcription using OpenAI Whisper. Transcribe audio files (mp3, wav, m4a, ogg, etc.) to text without API costs. Use when: (1) User...

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High Signal

Free local speech-to-text transcription using OpenAI Whisper. Transcribe audio files (mp3, wav, m4a, ogg, etc.) to text without API costs. Use when: (1) User...

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, scripts/demo.sh, scripts/transcribe.py

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: nickylin
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

Whisper STT Skill

Free, local speech-to-text using OpenAI Whisper.

Prerequisites

Install dependencies (one-time setup): pip install openai-whisper torch Optional: Install ffmpeg for broader format support: macOS: brew install ffmpeg Ubuntu: sudo apt install ffmpeg

Transcribe an audio file

python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py <audio_file>

Options

OptionDescription--modelModel size: tiny, base, small, medium, large, large-v3-turbo (default: base)--language, -lLanguage code: zh, en, ja, etc. (auto-detect if not specified)--output, -oOutput format: json, txt, srt, vtt (default: json)

Examples

Chinese audio to text: python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py recording.m4a --language zh --output txt Generate subtitles (SRT): python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py video.mp4 --output srt > subtitles.srt Use faster model: python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py audio.mp3 --model tiny --output txt High accuracy (slower): python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py audio.mp3 --model large-v3 --output txt

Model Selection Guide

ModelSpeedAccuracyVRAM/RAMBest Fortiny~32xBasic~1GBQuick tests, low resourcebase~16xGood~1GBBalanced speed/accuracysmall~6xBetter~2GBBetter accuracymedium~2xVery Good~5GBHigh accuracylarge1xExcellent~10GBBest qualitylarge-v3-turbo~8xExcellent~6GBFast + accurate (recommended)

Troubleshooting

"ModuleNotFoundError: No module named 'whisper'" → Run: pip install openai-whisper torch "ffmpeg not found" → Install ffmpeg or convert audio to WAV format first Slow transcription → Use smaller model (tiny/base) or ensure GPU is available (Apple Silicon MPS, NVIDIA CUDA) Poor accuracy on Chinese → Use --language zh explicitly and consider larger model (medium/large)

Output Formats

json: Full result with segments, timestamps, and metadata txt: Plain text transcription only srt: SubRip subtitle format with timing vtt: WebVTT subtitle format for web players

Credits

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Scripts1 Docs

SKILL.md Primary doc
scripts/demo.sh Scripts
scripts/transcribe.py Scripts