YouTube Transcriber

Transcribe non-captioned YouTube videos into text transcripts using Whisper.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/bibo1243/claw_memory --skill youtube-transcriber
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: YouTube Transcriber
Source: https://github.com/bibo1243/claw_memory/tree/main/skills/youtube_transcriber
Command: npx skills add https://github.com/bibo1243/claw_memory --skill youtube-transcriber

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yt-dlp, openai-whisper, summarize, and includes scripts (resource) components.

What problem does it solve?

使用 yt-dlp + Whisper 轉錄沒有字幕的 YouTube 影片,再透過 Summarize CLI 進行摘要。適用於任何語言的影片。

Core Features & Use Cases

  • 自動化轉錄與摘要流程,提升無字幕影片的可用性。
  • 多語言支援,適用於各種語言的 YouTube 內容。
  • 可擴充的工作流程,能在需要時結合 scripts/ 進行自定義處理。

Quick Start

請提供 YouTube 影片網址並執行完整流程以完成轉錄與摘要。

Frequently Asked Questions about YouTube Transcriber

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

FAQPage Schema
How do I transcribe a YouTube video that has no subtitles?

To transcribe a YouTube video without subtitles, you can use yt-dlp to extract the audio and Whisper to generate the text transcript. This workflow automates the transcription process for any non-captioned video.

Can I use Whisper to transcribe YouTube videos in any language?

Yes, Whisper supports multilingual transcription for YouTube videos. By extracting the audio with yt-dlp, the Whisper model processes spoken content in various languages to produce a text transcript.

What is the best way to summarize a YouTube video transcript?

The best way to summarize a YouTube video transcript is by using the Summarize CLI after transcription. You can optionally use a GEMINI_API_KEY for AI-enhanced summaries to extract key points from the generated text.

Do I need yt-dlp to extract audio for Whisper transcription?

Yes, you need yt-dlp to download and extract audio from the YouTube video URL. This extracted audio file is the required input for the Whisper model to perform the transcription process.

Does this transcription workflow support custom scripts for processing?

Yes, the workflow supports custom processing by integrating with the scripts directory. You can extend the automated transcription and summarization pipeline to handle customized text manipulation tasks.