Can I extract transcripts in languages other than English?

Yes, the skill supports various language codes such as zh-Hans, es, and fr through the sub-lang parameter.

What is the most reliable method for extraction?

The yt-dlp CLI method is the preferred primary approach due to its speed, reliability, and support for multiple output formats.

How does this skill handle age-restricted videos?

It utilizes browser cookies via the --cookies-from-browser flag to authenticate sessions and access restricted or private content.

Does it support auto-generated captions?

Yes, it can specifically target auto-generated subtitles when manual captions are not provided by the uploader.

How do I get clean text without timestamps?

The skill provides a specialized sed command to strip timing metadata and formatting from VTT files, resulting in plain text.

YouTube Transcript Extractor

Name: YouTube Transcript Extractor
Author: eyadsibai

byeyadsibai

Web Scraping & Data Collection

Extracts high-quality subtitles and transcripts from YouTube videos in multiple formats and languages for analysis and automation.

About

The YouTube Transcript Extractor skill enables Claude to efficiently retrieve and process video content by extracting manual or auto-generated subtitles. It prioritizes the high-performance yt-dlp utility while offering robust browser automation fallbacks for age-restricted or private videos. This skill is essential for users looking to convert video tutorials into documentation, summarize long-form webinars, or perform text-based analysis on video datasets by providing clean, timestamp-free text or industry-standard subtitle formats.

Key Features

Multi-language extraction using specific ISO language codes
Cookie-based authentication for restricted or age-gated content
Support for both manual and auto-generated subtitles
Automated conversion from VTT/SRT to clean plain text
0 GitHub stars
Browser automation fallback for complex scraping scenarios

Use Cases

Summarizing long-form video content into actionable bullet points
Generating text datasets from video repositories for analysis
Converting video tutorials and webinars into searchable documentation

About

Key Features

Multi-language extraction using specific ISO language codes
Cookie-based authentication for restricted or age-gated content
Support for both manual and auto-generated subtitles
Automated conversion from VTT/SRT to clean plain text
0 GitHub stars
Browser automation fallback for complex scraping scenarios

Use Cases

Summarizing long-form video content into actionable bullet points
Generating text datasets from video repositories for analysis
Converting video tutorials and webinars into searchable documentation