Upload one section, let the tool pull the testable facts out of it, then read every card before you study it — one fact per card. A PDF-to-flashcard tool converts a document (lecture slides, a textbook chapter, a past paper) into question-and-answer cards. Read the section once end to end first: extraction quality follows source focus.
Why flashcards beat re-reading
Re-reading feels productive because the page starts to look familiar. Recognition is not recall. In Roediger and Karpicke's 2006 experiments, students who tested themselves on a passage remembered significantly more a week later than students who re-read the same passage — even though the re-readers were more confident going into the test.
That is the whole case for cards: you are training retrieval, not familiarity. The practical consequence is that your cards matter more than your highlighter. It is also why generating 300 mediocre cards is worse than generating 25 good ones: you will revise the good ones and feel guilty about the rest.
The 30-second workflow
- Pick one section, not the whole book. A 40-page chapter usually holds 5–8 pages of testable material. Cards generated from filler pages are filler cards.
- Clean the PDF first. Scanned pages that are images, slides covered in decoration, and two-column layouts with a running header on every page all produce weaker extraction. If the PDF is a scan, run OCR before uploading.
- Upload and generate. On Lookfornotes you can put a document through the converter without an account and see the cards it produces.
- Read every card before you trust it. Auto-generated cards inherit the mistakes in the source. Fix or delete the wrong ones. Ten correct cards beat forty sloppy ones.
- Use both outputs. Printable study notes export as a clean PDF for the night before; the cards themselves run as a self-test with the questions shuffled.
What makes a card actually work
- One fact per card. If the back holds three bullet points, that is three cards. Compound cards fail because partial knowledge still scores as a miss.
- Ask, don't restate. "What does X do when Y happens" beats "Chapter 4 covers X". The front has to be answerable without the back.
- Keep your lecturer's terminology, use your own words for the explanation. Marking schemes match terminology; understanding survives paraphrasing.
- Turn formulas into procedures. Instead of a card holding the formula, ask which formula applies when the question gives this and asks for that.
- Keep process cards in order. A shuffled list of steps teaches nothing — use a numbered front for anything sequential.
Four mistakes that waste the effort
- Generating from everything at once. Dump 300 slides in, get 300 vague cards, use none. Work chapter by chapter.
- Copying sentences verbatim. Cards that read exactly like the textbook train you to recognise that sentence, not the idea behind it.
- Never revisiting missed cards. Log what you get wrong — those cards are your actual syllabus.
- Making cards instead of studying. Generation is the setup. The self-test is the work.
Free vs paid — what the money buys
On Lookfornotes, the free path gets a document converted and summarised so you can judge whether the extraction suits your material. Credit packs (HK$38 / HK$88 / HK$198, one-off, no subscription) buy volume: more documents, more practice questions, and PDF export of the clean notes.
If you are still deciding whether AI suits your subject, spend nothing first. Generate cards from one chapter you already know well and check them against your own memory of the material. A tool that cannot convert a chapter you understand will not do better on one you don't.
Try it on your own chapter
Upload a PDF and see the cards before you decide anything. No account needed for the first one.
Questions
Is it better to write flashcards by hand?
Hand-writing forces you to decide what matters, and that decision is itself study. The compromise that works: hand-write cards for your three hardest topics, generate the rest, and review every generated card.
Can it read a scanned PDF?
Only after OCR. A scanned PDF is a picture — there is no text layer to extract until it is converted.
How many cards should one chapter produce?
Roughly 2–4 per page of dense material. If a 10-page chapter produces 80 cards, most of them are trivia.
Does it work on Chinese-language material?
Yes. Lookfornotes handles Chinese and mixed Chinese-English documents, which matters for DSE and IB students working across both.
Do I still need to read the chapter?
Yes — one pass first. Cards generated from material you have never read become a list of things you do not understand yet.