To summarize a lecture recording with AI, upload the audio (MP3, M4A, WAV) — or a lecture PDF, a YouTube link, or slides — and Scholarly's AI lecture summarizer returns a structured summary: a one-paragraph TL;DR, a key-concept table, the worked examples your professor used, and the action items they assigned. It reads your actual recording rather than improvising, then turns the same source into flashcards, a quiz, and a podcast in one click.
A 90-minute lecture is built for delivery, not for review. Re-watching it to find the one concept you're stuck on is a brutal use of time. A good lecture summary is the bridge — it gives you a navigable map of the class so you can jump straight to the section you actually need to re-read, instead of scrubbing a recording or flipping through 60 pages of slides.
The trick is that summarizing well is hard. A list of bullet points loses the argument. A pure transcript wastes your time. Scholarly's AI lecture summarizer organizes the class the way a strong note-taker would: a one-paragraph TL;DR, a table of key concepts with definitions, the worked examples the professor used, and a list of action items the lecture explicitly assigned.
Because Scholarly understands lectures across formats — a PDF deck, an audio file from your phone, a YouTube link, or live audio captured by the AI Meeting Notes — you can summarize anything you sat through. And because every summary lives next to your flashcards, study notes, and practice exams, you don't stop at "read the summary." You drill on it.
This is the part most summarizers miss: a summary is only useful if it loops back into active recall. Scholarly turns the same lecture into spaced-repetition flashcards and a practice test — so reading the summary is the start of revision, not the end of it.
