Whisper Transcribe skill for OpenClaw
What this skill does
Transcribe audio files to text using OpenAI Whisper. Supports speech-to-text with auto language detection, multiple output formats (txt, srt, vtt, json), batch processing, and model selection (tiny to large). Use when transcribing audio recordings, podcasts, voice messages, lectures, meetings, or any audio/video file to text. Handles mp3, wav, m4a, ogg, flac, webm, opus, aac formats.
The Whisper Transcribe skill is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.
How to install the Whisper Transcribe skill
The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:
- Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
- Open the in-app Skills panel.
- Search for
whisper-transcribeand click Install. - The skill activates automatically when an incoming message matches its description.
Install from the command line
If you already run the OpenClaw CLI, add the Whisper Transcribe skill with a single command:
openclaw skills add whisper-transcribe
This pulls whisper-transcribe from ClawHub and installs it into ~/.openclaw/skills/whisper-transcribe/. Restart the OpenClaw gateway afterwards so the new skill is discovered.
How to use the Whisper Transcribe skill
Once installed, the Whisper Transcribe skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.
Turning video into a finished short
Whisper Transcribe works with video. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — reframes to vertical, cleans the audio, cuts dead air, burns animated captions, and exports a version sized for TikTok, Reels, and Shorts.
It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.
Manual install (advanced)
If you prefer manual installation:
- Click the Download skill .zip button above to grab
whisper-transcribe-1.0.0.zipdirectly from our S3 mirror. - Unzip into
~/.openclaw/skills/whisper-transcribe/(create the directory if it does not exist). - Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.
Frequently asked questions
How do I install Whisper Transcribe?
Install Whisper Transcribe in the OpenClaw Easy desktop app by opening the Skills panel, searching for whisper-transcribe, and clicking Install. From a terminal you can run: openclaw skills add whisper-transcribe. Either way the skill is placed in ~/.openclaw/skills/whisper-transcribe/.
Is the Whisper Transcribe skill free?
Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.
What does Whisper Transcribe do?
Transcribe audio files to text using OpenAI Whisper. Supports speech-to-text with auto language detection, multiple output formats (txt, srt, vtt, json), batch processing, and model selection (tiny to large).
Related: more developer tools skills
If the Whisper Transcribe skill looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:
Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.
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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models