youtube-transcript

Extract YouTube subtitle text and generate structured summaries.

Updated May 9, 2026
One-click install
npx skills add https://github.com/LeandroBenjaminL/lend-ai --skill youtube-transcript-leandrobenjaminl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: youtube-transcript
Source: https://github.com/LeandroBenjaminL/lend-ai/tree/main/skills/youtube-transcript
Command: npx skills add https://github.com/LeandroBenjaminL/lend-ai --skill youtube-transcript-leandrobenjaminl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires youtube-transcript-api, pytesseract, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Extracts and processes YouTube subtitle transcriptions, providing full text extraction and structured summaries.

Core Features & Use Cases

  • Text Extraction: Obtain the full text from YouTube subtitles.
  • Summary Generation: Create structured summaries of video content.
  • Use Case: When you need to understand the content of a YouTube video, extract its text, or generate a structured summary for analysis.

Quick Start

Use the youtube-transcript skill to generate a summary of the YouTube video at this URL: [video_url].

Frequently Asked Questions about youtube-transcript

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

FAQPage Schema
How do I extract full text from YouTube subtitles for content analysis?

To extract full text from YouTube subtitles, you parse the video's subtitle track to retrieve the transcription. This process provides the complete text, which is necessary for downstream content analysis and language translation tasks.

Can I generate a structured summary from a YouTube video transcription?

Yes, you can generate a structured summary from a YouTube video transcription. After extracting the subtitle text, the processing logic analyzes the content to produce structured summaries designed to help you quickly understand the video's core information.

Do I need the YouTube API to extract video subtitles and text?

Yes, extracting YouTube subtitles requires access to the YouTube API and specific subtitle parsing libraries. These dependencies are necessary to interface with the platform and retrieve the transcription data for text extraction.

Does youtube-transcript work with pytesseract for video analysis?

Yes, the youtube-transcript functionality works with pytesseract as a dependency. Together, these libraries support video analysis by extracting text from YouTube subtitles and processing it for summary generation.

What is the best way to get a text transcription of a YouTube video for language translation?

The best way to get a text transcription for language translation is to extract the video's subtitle track using a dedicated parsing library. This provides the full raw text needed to perform accurate language translation and accessibility processing.

What are the limitations when processing YouTube subtitles for text extraction?

A primary limitation of processing YouTube subtitles is that the video must actually contain a subtitle track. Text extraction cannot proceed if subtitles are unavailable, and parsing requires consistent access to the YouTube API.