Skill Detail
OpenAI Whisper API Transcription
API-based transcription with a lighter setup than local Whisper.
Media & TranscriptionOpenClaw
Media & Transcription
OpenClaw
Security Reviewed
Security: Low
Tool match: openclaw
MIT license
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill openai-whisper-api-transcription
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
OpenAI Audio API, curl or OpenAI SDK
Install & setup
pip install openai
Author
OpenAI
Publisher
Individual
Last updated
Mar 19, 2026
Quick brief
This skill wraps OpenAI’s hosted transcription endpoint for fast, lightweight audio-to-text. Send audio files and get back plain-text or JSON transcripts with minimal setup.
How it works
What this skill actually does
How it differs from the local Whisper skill
The already-live OpenAI Whisper (local) listing runs the Whisper model directly on your machine using Python and requires downloading model weights and a capable CPU/GPU. This listing uses the hosted API — no model downloads, no local compute requirements, no Python ML dependencies. The tradeoff is API cost and network dependency.
Best for
- Meeting recordings and podcast notes
- Voice memos and interview transcripts
- Any audio-to-text workflow where convenience and speed matter more than running your own model
Install notes
Set your OPENAI_API_KEY environment variable or configure it in OpenClaw skill config. Requires curl (pre-installed on most systems). No other dependencies.