Enables AI assistants to watch YouTube videos by extracting frames at scene changes and visual references, pairing each frame with the exact words spoken at that timestamp. Provides dense frame-transcript interleaving for any model.
Enables AI assistants to analyze and summarize YouTube videos by extracting captions, subtitles, and comprehensive metadata including title, description, and duration in multiple languages.
Enables AI assistants to fetch YouTube video metadata, chapters, and timestamped transcripts (including paginated and language-specific caption retrieval) so they can produce summaries, study notes, comparisons, and source-referenced answers. The returned transcript evidence also carries explicit coverage status, letting the assistant know when a transcript is partial or unavailable.