openai-whisper-api

Transcribe audio files into text via the OpenAI Whisper API.

5|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/kcns008/clusterclaw --skill openai-whisper-api-kcns008
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper-api
Source: https://github.com/kcns008/clusterclaw/tree/main/skills/openai-whisper-api
Command: npx skills add https://github.com/kcns008/clusterclaw --skill openai-whisper-api-kcns008

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill removes the manual burden of turning recorded audio into readable text, making transcription fast, repeatable, and easy to automate.

Core Features & Use Cases

  • Audio Transcription: Converts speech in common audio formats into plain-text transcripts or JSON output.
  • Configurable Transcription: Supports model selection, language hints, and prompt context for better accuracy.
  • Use Case: A team can upload a meeting recording and quickly generate a searchable transcript for notes, summaries, or documentation.

Quick Start

Use the openai-whisper-api skill to transcribe the attached audio file into a text transcript.

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 to text using the OpenAI API?

Audio transcription using the OpenAI API requires sending curl-based multipart requests to the /v1/audio/transcriptions endpoint with an API key. The process converts speech in common audio formats into plain-text transcripts or JSON output.

Can I get JSON output from speech to text for downstream processing?

Speech to text workflows can generate JSON output for downstream processing by configuring the response format in the API request. This structured output enables automated parsing and integration into larger data pipelines.

Do I need curl to send audio files for language-aware transcription?

Curl is required to send multipart requests to the OpenAI audio transcriptions endpoint. Language-aware transcription is supported by providing language hints and prompt context alongside the audio file in the curl request.

How does prompt-guided context improve audio transcription accuracy?

Prompt-guided context improves audio transcription accuracy by providing specific terminology or background information to the speech-to-text model. This helps the API interpret domain-specific vocabulary correctly within the generated transcripts.

What is the best way to automate meeting recording transcription?

Automating meeting recording transcription involves sending audio files to the OpenAI API endpoint via curl. This generates searchable text transcripts quickly for notes, summaries, or documentation without manual transcription effort.

What are the limitations of using curl for speech to text conversion?

Curl-based speech to text conversion requires a valid OpenAI API key and handles single-file transcription. Processing large batch audio files or managing complex asynchronous workflows may require additional scripting beyond standard multipart requests.