transcribe

Transcribe audio or video into timestamped text using Whisper backends.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/RonanCodes/ronan-skills --skill transcribe-ronancodes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: transcribe
Source: https://github.com/RonanCodes/ronan-skills/tree/main/skills/transcribe
Command: npx skills add https://github.com/RonanCodes/ronan-skills --skill transcribe-ronancodes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transcribing audio or video content manually is time-consuming and error-prone; this skill automates it by converting speech to text with timestamps.

Core Features & Use Cases

  • Transcribes audio or video using Whisper (OpenAI API or local whisper-cpp/whisper-python backends).
  • Outputs a timestamped transcript in multiple formats (text, srt, vtt, json) and can save to vaults.
  • Suitable for meetings, interviews, podcasts, and archival footage, with optional language support.
  • Integrates with ingest-video workflows for meeting recordings and screen captures.

Quick Start

Transcribe example.mp4 to transcript.md using default settings.

Frequently Asked Questions about transcribe

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

FAQPage Schema
How do I transcribe audio or video files to text with timestamps?

To transcribe audio or video to text with timestamps, this skill processes media files using Whisper backends and outputs timestamped transcripts in text, srt, vtt, or json formats. It automates speech-to-text conversion for meetings, interviews, and podcasts.

Can I use local whisper-cpp to transcribe meetings instead of the OpenAI API?

Yes, you can transcribe meetings using local whisper-cpp or whisper-python backends as an alternative to the cloud OpenAI Whisper API. Both backend options process audio or video files and generate timestamped text outputs.

What is the best way to transcribe podcasts across multiple languages?

The best way to transcribe multilingual podcasts is using Whisper backends with optional language settings. This skill converts speech to text across multiple languages and saves results to vaults in text, srt, vtt, or json formats.

Does this transcription tool support srt and vtt output formats?

Yes, this transcription tool supports srt and vtt output formats, alongside text and json. It processes audio or video content using Whisper and delivers timestamped transcript files suitable for subtitles or archival recording documentation.

Can I integrate video transcription into an ingest-video workflow?

Yes, you can integrate video transcription into ingest-video workflows for meeting recordings and screen captures. The skill transcribes video content using Whisper backends and outputs timestamped text, srt, vtt, or json files to your vault.

Do I need the OpenAI Whisper API to transcribe archival recordings locally?

No, you do not need the OpenAI Whisper API to transcribe archival recordings locally. This skill supports local whisper-cpp and whisper-python backends, allowing offline speech-to-text conversion with optional language settings and multiple output formats.