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transcribe

Transcribe uploaded audio and video files via the OpenAI Whisper API.

3|Updated Feb 14, 2026
Search Tags:#video#transcription#whisper#audio#timestamps#speech to text
One-click install
npx skills add https://github.com/mattwoodco/skills --skill transcribe-mattwoodco
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: transcribe
Source: https://github.com/mattwoodco/skills/tree/main/v1-skills/transcribe
Command: npx skills add https://github.com/mattwoodco/skills --skill transcribe-mattwoodco

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of converting audio and video files into text, providing detailed, timestamped segments and word-level information, making spoken content searchable and analyzable.

Core Features & Use Cases

  • Accurate Transcription: Leverages OpenAI's Whisper API for high-quality speech-to-text conversion.
  • Timestamped Output: Provides both segment-level and word-level timestamps for precise content referencing.
  • Use Case: Upload a meeting recording and get a full transcript with timestamps, allowing you to quickly find specific discussion points or quote speakers accurately.

Quick Start

Use the transcribe skill to process the uploaded audio file 'meeting.mp3'.

Frequently Asked Questions about transcribe

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

FAQPage Schema
How do I transcribe audio with timestamps using OpenAI Whisper?▼

To transcribe audio with timestamps, this Skill sends your uploaded files to the OpenAI Whisper API, returning structured JSON with full text, segment-level timestamps, and word-level granularity for precise referencing.

Can I transcribe video files or does it only support audio formats?▼

You can transcribe both video and audio files. The Skill accepts multiple media formats, validates file size and format against defined limits, and processes the extracted speech server-side using the Whisper API.

What level of timestamp granularity does Whisper transcription output provide?▼

The transcription output provides detailed timestamp granularity, including both segment-level timestamps and word-level information, allowing you to accurately reference specific spoken content and quote speakers.

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

Yes, you need an OpenAI API key. Because this Skill relies on the OpenAI Whisper API for server-side speech-to-text conversion, a valid OpenAI dependency is required to process uploaded media files.

Are there file size limits when uploading meeting recordings for transcription?▼

Yes, there are defined limits. The Skill validates uploaded audio and video files against specific format and size constraints before processing, ensuring the Whisper API can accurately handle the speech-to-text conversion.

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