Can I get the timestamps in a format other than HH:MM:SS?

Yes, by using the --seconds flag, you can receive the transcript timestamps in raw seconds instead of the default format.

Does this require a YouTube API key to function?

No, the tool utilizes the ai-transcribe utility which extracts transcripts directly from the video URL without needing a personal API key.

Does this skill allow me to save the transcript directly to my computer?

Yes, you can save the output to a file by using the standard redirect command, for example: ai-transcribe "URL" > transcript.txt.

Is this skill suitable for processing long-form videos?

Absolutely. It is designed to handle videos of various lengths, providing the full transcript for analysis or summarization.

How do I install the necessary dependencies for this skill?

You must install the hamel_tools package via pip by running 'pip install hamel_tools' in your terminal.

YouTube Transcript Extractor

Name: YouTube Transcript Extractor
Author: hamelsmu

byhamelsmu

•

Web Scraping & Data Collection

Downloads and formats YouTube video transcripts with precise timestamps for streamlined content analysis and text extraction.

About

The YouTube Transcript Extractor skill empowers Claude to quickly retrieve comprehensive text transcripts from any YouTube video URL. By leveraging the underlying ai-transcribe CLI tool, this skill provides formatted text with flexible timestamp options in either standard HH:MM:SS or raw seconds. It is an essential utility for developers and researchers who need to summarize long-form video content, extract specific quotes for documentation, or transform video libraries into searchable text assets without manual transcription effort.

Key Features

Extracts complete transcripts directly from YouTube video URLs
Seamlessly pipes transcript data to local files for archival
38 GitHub stars
Integrates with the hamel-tools suite for robust CLI performance
Provides configurable timestamp formats including HH:MM:SS and seconds
Automates the conversion of video content into actionable text

Use Cases

Building searchable text databases from video-based documentation and tutorials
Extracting specific data points and quotes from interviews or technical presentations
Generating concise summaries or study notes from educational video content

About

Key Features

Extracts complete transcripts directly from YouTube video URLs
Seamlessly pipes transcript data to local files for archival
38 GitHub stars
Integrates with the hamel-tools suite for robust CLI performance
Provides configurable timestamp formats including HH:MM:SS and seconds
Automates the conversion of video content into actionable text

Use Cases

Building searchable text databases from video-based documentation and tutorials
Extracting specific data points and quotes from interviews or technical presentations
Generating concise summaries or study notes from educational video content