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transcribe

Transcribe audio files into text using OpenAI Whisper models.

Updated Feb 16, 2026
Search Tags:#voice#transcription#audio#openai#diarization#speech
One-click install
npx skills add https://github.com/rbkayz/gitskills --skill transcribe-rbkayz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: transcribe
Source: https://github.com/rbkayz/gitskills/tree/main/skills/registry/openai-transcribe
Command: npx skills add https://github.com/rbkayz/gitskills --skill transcribe-rbkayz

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the conversion of spoken audio into written text, making recordings searchable and editable.

Core Features & Use Cases

  • Speech-to-Text: Transcribes audio files into plain text.
  • Speaker Diarization: Identifies and labels different speakers within the audio.
  • Use Case: Transcribe a recorded meeting to generate meeting minutes, or convert a podcast episode into a blog post.

Quick Start

Use the transcribe skill to convert the audio file 'meeting_recording.wav' into a text file.

Frequently Asked Questions about transcribe

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

FAQPage Schema
How do I transcribe a meeting recording into searchable text?▼

Audio transcription converts your meeting recording into text using OpenAI Whisper models. The transcribe skill processes audio files to generate plain text, requiring an OpenAI API key and Python package.

Does audio transcription support speaker diarization for interview recordings?▼

Audio transcription supports speaker diarization to identify and label different speakers. The transcribe skill isolates individual voices within interview recordings, assigning labels to generate structured text transcripts.

What is needed to convert voice notes to text with OpenAI?▼

Converting voice notes to text requires an OpenAI API key and the `openai` Python package. The transcribe skill utilizes Whisper models to process audio files and output written text transcriptions.

How do I transcribe a podcast episode into a blog post format?▼

Transcribing a podcast into a blog post involves converting the audio file into text. The transcribe skill processes speech-to-text and supports various output formats for written content generation.

Are there limitations when using Whisper models for audio transcription?▼

Whisper models require an OpenAI API key and the `openai` Python package for execution. The transcribe skill is suited for meeting recordings, interviews, and voice notes but depends on API availability.

What is the best way to generate text transcripts from audio files?▼

Generating text transcripts from audio files is best done using OpenAI Whisper models. The transcribe skill automates this speech-to-text conversion, making your recordings searchable and editable.

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