Class notes are messy by design. Bullet points half-finished mid-thought, abbreviations only you understand, arrows pointing to other arrows. That structure is great for capturing a lecture in real time and terrible for reviewing two weeks later — by which point your own notes look like cryptography.
Scholarly's notes to flashcards tool is built specifically for that messy reality. The AI is trained to read student notes — Cornell style, outline style, mind-map style, bullet sludge — and infer the underlying concept structure. It recognises that "MT = ATP, Krebs in matrix" means mitochondria produce ATP and the Krebs cycle happens in the matrix, and it generates two clean cards from that line. Abbreviations get expanded. Half-finished thoughts get completed using context from the surrounding notes.
For handwritten notes, the AI runs OCR first to convert your handwriting to text, then runs the same notes-to-flashcards pipeline. Photos work — point your phone at a page in your notebook, upload, and the deck is ready in under a minute. Multi-page PDFs work too: scan a full notebook chapter and the AI processes every page.
Manually converting a page of notes into flashcards takes 15-30 minutes if you do it carefully. Multiply by 12 chapters across 5 classes and you've spent a week of evenings just typing cards. Most students don't, which is why their notes are useless by mid-semester and they end up cramming raw text the night before the exam.
AI notes-to-flashcards turns that 15-minute task into a 45-second task. The trade-off is that the generated cards are a draft, not a finished product. Expect to edit 10-20% of cards before studying — usually to merge two cards covering the same fact or to rewrite an answer in your own words. That edit pass is the part of "writing cards" that actually helps you learn; everything before it was busywork the AI just removed.
Convert notes within 48 hours of taking them. Your memory of the lecture is freshest then, so you'll catch AI errors (wrong expansions of abbreviations, missed cross-references) quickly. Wait two weeks and even you won't know if the AI got it right.
For handwritten notes, photograph one page at a time in good light. Multi-page PDF scans work too, but glare and skew hurt OCR. A 5-second alignment up front saves a re-do later.
After generating the deck, do one fast pass to delete cards that aren't useful (cards on slide titles, cards on logistics like "office hours Tuesday 3pm"). Five minutes of pruning makes the deck dramatically easier to study.
Once your flashcards are generated, export to Anki as an .apkg file, download a Quizlet-compatible CSV, save a printable PDF, or share a link with classmates. Your decks live in your Scholarly account so you can come back to them all semester long without regenerating. For more on how AI-driven note workflows fit together, see our notes feature page.
