PeekaTube for Researchers and Academics
Research moves through video as much as papers — NeurIPS talks, recorded podcast interviews with first authors, methods walkthroughs, lab seminars. PeekaTube collapses each into a structured summary with timestamps, exportable transcript, and an automatic pass over the comments where co-authors and reviewers often add context.
The researcher YouTube problem
A NeurIPS or CVPR keynote is 45 minutes; an Andrej Karpathy interview is three hours; a recorded SOSP session is six hours of back-to-back talks. Watching every video for the one quote, citation, or methods detail you actually need is impossible. Existing summarizers stop at the transcript and miss the discussion in comments where the real domain expertise often lives.
How researchers use PeekaTube
- 1
Triage your watch queue
Generate summaries for every video in your weekly queue. Decide what's worth full attention, what to skim, and what to skip — in five minutes instead of five hours.
- 2
Extract citations and references
Export the transcript + summary, search for paper titles, author names, or technique keywords. Comment threads frequently link to the underlying papers and follow-up work — PeekaTube's comment analysis surfaces these without you having to scroll.
- 3
Build a literature watchlist
Save exported summaries to your reference manager (Zotero, Obsidian, Notion). Over a quarter, you build a searchable index of every video-form source you've consumed — invaluable when writing related-work sections.
Features that matter for research
Full transcript export keeps you out of citation-orphan territory. Comment analysis catches errata and follow-up references that even the speakers may have missed. Multilingual output handles non-English keynote sources without breaking your workflow. Native markdown export integrates with Zotero, Pandoc, and every modern reference workflow.
Frequently Asked Questions
Does PeekaTube work on academic conference recordings (NeurIPS, ICML, etc.)?
Yes — anything published on YouTube works, including most major ML/systems conference channels and individual researcher channels. Talks without auto-captions fall back to audio transcription, so even older or low-budget recordings produce usable summaries.
Can I cite a PeekaTube summary in my paper?
Cite the original video, not the summary — PeekaTube provides the timestamps you need to point reviewers to the exact moment of the claim. The summary is your reading aid, not the primary source.
How is this different from NotebookLM for literature review?
NotebookLM excels at multi-source synthesis across PDFs + videos. PeekaTube is faster for single-video triage right inside YouTube — no notebook setup, no source upload. Most researchers we talk to use both: PeekaTube to decide what's worth reading, NotebookLM to read it deeply.