openai-whisper-api

Transcribe audio files into text using the OpenAI Whisper API.

Updated Jan 26, 2026
One-click install
npx skills add https://github.com/coltonbatts/Loubot --skill openai-whisper-api-coltonbatts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper-api
Source: https://github.com/coltonbatts/Loubot/tree/main/skills/openai-whisper-api
Command: npx skills add https://github.com/coltonbatts/Loubot --skill openai-whisper-api-coltonbatts

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables the transcription of audio files into text using OpenAI's powerful Whisper API, making audio content searchable and processable.

Core Features & Use Cases

  • Audio Transcription: Converts spoken words in audio files into written text.
  • Language Support: Can transcribe in multiple languages, with an option to specify the source language.
  • Prompting: Allows providing a prompt to guide the transcription for specific terms or speaker names.
  • Use Case: Transcribe a meeting recording to generate meeting minutes, or convert a voice memo into a text document.

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 transcribe audio files to text using the OpenAI Whisper API?

You can transcribe audio files to text by executing a cURL request to the OpenAI Whisper API with your audio file and API key. This Skill automates the request execution, allowing you to convert spoken words into written text quickly.

Do I need an OpenAI API key to transcribe audio?

Yes, you need an OpenAI API key for authentication to execute the transcription request. You also need cURL installed in your environment to run the scripts that send the audio files to the API.

Can I specify the language for speech-to-text transcription?

Yes, you can specify the source language to improve transcription accuracy. The API supports multiple languages, allowing you to tailor the speech-to-text process to your specific audio file.

How do I improve transcription accuracy for specific terms or speaker names?

You can provide a prompt to guide the transcription process for specific terms or speaker names. This helps the API understand the context and generate more accurate text from your audio.

What is the best way to transcribe a meeting recording into text?

The best way to transcribe a meeting recording is to use the Whisper API with cURL. This approach converts your meeting audio into searchable text, which you can then use to generate meeting minutes.

Does this speech-to-text process work with various audio formats?

Yes, the transcription process supports various audio formats. You can send different types of audio files to the API, and it will convert the spoken content into written text.