openai-whisper-api

Transcribe audio files into text using the OpenAI Whisper API.

93|20|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/seedprod/openclaw-prompts-and-skills --skill openai-whisper-api-seedprod
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper-api
Source: https://github.com/seedprod/openclaw-prompts-and-skills/tree/main/.claude/skills/openai-whisper-api
Command: npx skills add https://github.com/seedprod/openclaw-prompts-and-skills --skill openai-whisper-api-seedprod

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: Convert audio files (e.g., M4A, OGG) into text using OpenAI's Whisper model.
  • Customization: Supports specifying the model, output file path, language, and providing transcription prompts for accuracy.
  • Use Case: Quickly transcribe meeting recordings, voice notes, or podcast segments into text documents for easy reference and analysis.

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?

To transcribe audio files into text using the OpenAI Whisper API, you use this Skill to send audio formats like M4A or OGG to the API. It requires curl and an OPENAI_API_KEY environment variable for authentication.

Do I need an OpenAI API key to convert speech to text with Whisper?

Yes, you need an OpenAI API key to convert speech to text with Whisper. The OPENAI_API_KEY environment variable must be set for authentication before the Skill can send audio files via curl for transcription.

Can I customize the language and output format when transcribing audio with Whisper?

You can customize the language, output file path, model, and transcription prompts when transcribing audio with Whisper. This allows you to improve accuracy and tailor the text output for specific meeting or podcast recordings.

What audio formats are supported for speech to text transcription using OpenAI?

Speech to text transcription using OpenAI supports various audio formats, including M4A and OGG. This allows you to directly transcribe meeting recordings, voice notes, and podcast segments into searchable text documents.