openai-whisper-api

Transcribe audio files into text using the OpenAI Audio Transcriptions API.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/hammadparveez/mrhammadclaw --skill openai-whisper-api-hammadparveez
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper-api
Source: https://github.com/hammadparveez/mrhammadclaw/tree/main/skills/openai-whisper-api
Command: npx skills add https://github.com/hammadparveez/mrhammadclaw --skill openai-whisper-api-hammadparveez

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the transcription of audio files into text, making spoken content searchable and editable.

Core Features & Use Cases

  • Audio Transcription: Converts audio files (e.g., M4A, OGG) into text using the OpenAI Whisper API.
  • Customization: Allows specifying the model, output file path, language, and providing a prompt for better accuracy.
  • Use Case: Quickly transcribe meeting recordings, voice notes, or podcast segments into text for documentation, analysis, or content creation.

Quick Start

Use the openai-whisper-api skill to transcribe the audio file '/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 transcribe audio files into text using the OpenAI Whisper API?

Transcribe audio files into text using the OpenAI Whisper API by executing a curl command. This skill sends your audio file to the OpenAI Audio Transcriptions API, converting spoken content into editable text.

What audio formats can I convert to text with OpenAI speech-to-text?

OpenAI speech-to-text supports various audio formats, including M4A and OGG. You can submit these file types to the transcription API to generate written outputs for documentation or analysis.

Do I need an OPENAI_API_KEY to use this transcription skill?

Yes, you need an OPENAI_API_KEY environment variable or configuration to authenticate requests. This key allows the curl command to securely access the OpenAI Audio Transcriptions API.

Can I customize the OpenAI Whisper audio transcription output?

Yes, you can customize OpenAI Whisper audio transcription by specifying the model, output file path, language, and providing a prompt. This improves accuracy and formats the text output to suit your needs.

What's the best way to automate meeting recording transcription with curl?

Automate meeting recording transcription with curl by passing the audio file path to this skill. It leverages the OpenAI Whisper API to quickly convert voice notes and recordings into searchable text.

Why use a prompt when transcribing audio with the Whisper API?

Using a prompt when transcribing audio with the Whisper API helps guide the model with specific context, vocabulary, or style. This enhances transcription accuracy for specialized audio segments like podcasts.