ContentAnalysis

Content extraction from long podcasts or YouTube videos works by applying dynamic sectioning to the transcript, surfacing strong quotes, contrarian takes, and practical lessons into a structured insight report.

Long-form article analysis is best handled by depth-aware extraction, which builds sections around the actual ideas present in the source rather than forcing a fixed summary template, yielding focused takeaways.

Yes, you can request a quick scan from a long interview; depth-based output supports varying levels from a fast overview to comprehensive extraction, depending on what you specify.

Yes, YouTube transcripts are fully supported; the extraction process surfaces strong lines, first-time revelations, and contrarian takes, capturing memorable quotes worth reusing in a structured report.

To generate a structured report with follow-up references from a video, request a wisdom extraction; the output dynamically organizes the most interesting arguments and references without relying on fixed templates.

You should avoid dynamic sectioning and depth-aware extraction when you need a fixed-format summary, as this approach specifically builds sections organically around the actual ideas present in the source content.