openai-whisper-api

Transcribe audio files into text using the OpenAI Whisper API.

6|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/me2Doc/friendlyclaw --skill openai-whisper-api-me2doc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper-api
Source: https://github.com/me2Doc/friendlyclaw/tree/main/body/skills/openai-whisper-api
Command: npx skills add https://github.com/me2Doc/friendlyclaw --skill openai-whisper-api-me2doc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, and includes scripts (resource) components.

What problem does it solve?

This skill removes the friction of manual transcription by leveraging OpenAI's high-accuracy speech-to-text engine directly from your command line.

Core Features & Use Cases

  • Automated Transcription: Quickly convert audio files like meetings, voice notes, or interviews into clean text.
  • Flexible Output: Supports both raw text and JSON formats for downstream processing.
  • Use Case: You can use this to transcribe a recorded project meeting into a text file for summary generation or to extract specific speaker hints from an audio file.

Quick Start

Use the openai-whisper-api skill to transcribe the audio file located at path/to/audio.m4a.

Frequently Asked Questions about openai-whisper-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert audio to text using the OpenAI Whisper API?

To transcribe audio to text using the OpenAI Whisper API, you execute secure HTTP requests via curl to the transcription endpoint, yielding raw text or JSON outputs for your voice recordings.

Do I need an OpenAI API key to transcribe audio files?

Yes, you need an active OpenAI API key to transcribe audio files, as the speech-to-text process requires authenticating secure HTTP requests sent via curl to the OpenAI endpoint.

Can I use curl to automate meeting transcription?

Yes, you can use curl to automate meeting transcription by executing secure HTTP requests to the OpenAI Whisper API endpoint, converting recorded audio files into clean text for documentation.

What audio transcription output formats does OpenAI Whisper support?

OpenAI Whisper transcription supports both raw text and JSON formats, providing flexible outputs for downstream processing of media content analysis or voice notes.

Does the OpenAI speech-to-text API work for automated documentation of voice recordings?

Yes, the OpenAI speech-to-text API facilitates automated documentation of voice recordings by transcribing audio files into text, simplifying meeting transcripts and media content analysis.