video-insight

To extract a video transcript, provide a YouTube URL or local media path to generate text from subtitles. This process retrieves transcripts directly from YouTube subtitles or local media audio to support quick reviewing without watching the full video.

Yes, you can generate a summary from a local video file by providing its file path. The tool processes local video and audio inputs to produce concise, structured summaries and digests for fast understanding of the media content.

To create Q&A highlights from video content, the analyzer processes the extracted transcript to produce targeted Q&A sections. This feature helps reinforce key concepts and retain specific details from the media for study and review purposes.

To analyze local audio files, the environment requires dependencies like ffmpeg, ffprobe, and whisper-cpp. These tools handle media processing and speech-to-text transcription, with the Skill orchestrating fallback paths to ensure robust operation if components are missing.

The best way to perform deep research from a YouTube video digest is to use the optional deep research feature. It augments the initial summary and transcript by performing in-depth web research to gather external sources related to the video content.

Yes, video-insight works with yt-dlp as a core dependency to extract YouTube subtitles and retrieve transcripts. This integration allows the analyzer to pull transcript data directly from YouTube URLs before generating digests and Q&A highlights.