openclaw-youtube-transcript

To extract text transcripts from YouTube videos, this Skill uses yt-dlp to fetch and process subtitles directly from the video URL, converting spoken content into text format.

You can transcribe a YouTube video in a specific language by passing subtitle language codes to the script, supporting language-specific transcriptions for accurate text extraction.

Yes, you need both yt-dlp and Python3 installed to extract YouTube captions, as yt-dlp handles subtitle retrieval while Python processes the fetched content into text format.

The best way to convert YouTube subtitles to text without local models is using yt-dlp to fetch existing captions directly, avoiding complex audio processing or manual transcription.

You can save YouTube video transcriptions to files or print them to stdout, providing customizable output formats for text extracted from the video's spoken content.

To analyze spoken content from a YouTube video for an agent, run the transcription script with the video URL to generate a text version suitable for summarizing or quoting.