multi-video-summarizer

To extract video subtitles across multiple platforms, use a 3-layer fallback mechanism that tries the platform API, then yt-dlp, and finally Whisper transcription. This ensures robust transcript retrieval from Bilibili, YouTube, and 1800+ other sites.

Yes, you can generate structured markdown notes with keyframes by pasting a video URL into your tool. It automatically captures keyframe screenshots and embeds them into a BibiGPT-style output complete with sections, highlights, and tags.

The best way to transcribe audio when native subtitles are missing is using Whisper transcription. It acts as a final fallback after platform APIs and yt-dlp fail, generating accurate text from the video's audio track.

You can use Whisper either locally or via an API, while yt-dlp is required for downloading video subtitles across 1800+ sites. These dependencies enable the robust fallback chain needed for consistent transcript extraction.

Inconsistent JSON structures occur when tools lack a unified extraction format. This skill normalizes data from all platforms into a consistent JSON containing title, author, duration, description, and subtitle_text, preventing formatting mismatches.

To avoid re-downloading subtitles and transcripts, use a caching system that stores results locally. This prevents redundant API calls and video processing when generating summaries for previously analyzed URLs.