Visual-aware summaries
Include important information that appears on screen but is not said aloud.
YouTube analysis beyond transcripts
Ask a YouTube video a question—and check the evidence.
VideoLens analyzes accessible YouTube videos using the transcript plus sampled visual frames and on-screen text, then returns answers and findings linked to specific timestamps.
Transcript + frame vision + OCR
Timestamp citations
~1,500 supported platforms
Markdown, PDF, and JSON
The direct answer
What VideoLens does
Transcript-only YouTube summaries work for spoken lectures, but they can miss slides, demonstrations, code, charts, captions, and silent changes. VideoLens adds frame-level vision and OCR to the analysis timeline.
Choose a mode for tutorials, product demos, content critique, privacy review, or general understanding. Then ask follow-up questions without repeating the extraction.
Why it helps
From linear video to reviewable evidence
Clickable evidence
Use timestamps to jump back to the relevant part of the original video.
Purpose-built modes
Extract tutorial steps, demo features, content feedback, claims, risks, or custom findings.
Workflow
How the analysis works
Every stage is explicit and cached so the source can be checked and the analysis can be reused.
Paste an accessible YouTube URL into the hosted app, CLI, or supported extension workflow.
Choose the mode and ask a specific question.
VideoLens retrieves the media, transcribes audio, samples frames, and merges the evidence by time.
Review, question, and export the resulting report.
Output
What the report gives you
- Timestamped summary
- Visual and transcript evidence
- Mode-specific findings and recommendations
- Reusable Markdown, PDF, or JSON artifact
Important limitation: Availability depends on the source and yt-dlp support. Private, age-gated, region-restricted, removed, live, or DRM-protected content may not be accessible. Respect the rights and terms that apply to the source video.
FAQ
Common questions
Is VideoLens just a YouTube transcript summarizer?
No. It combines transcription with sampled-frame descriptions and OCR, which helps when meaning is carried by slides, interfaces, demonstrations, or visible text.
Can I ask questions about a long YouTube video?
Yes, within the practical context and cost limits of the pipeline. Sampling, audio chunking, and caching are designed to make longer sources manageable.
Can I export the result?
Yes. VideoLens supports Markdown, PDF, and JSON outputs, and follow-up answers can reuse the cached timeline.
Related guides
Explore more VideoLens workflows
Turn the next video into evidence.
Try the hosted app, self-host the MIT-licensed core, or connect VideoLens to an MCP client.