The problem with making cards from notes
Lecture notes are written to be read, not to be tested on. They contain explanations, examples, side comments and repeated points. If you turn every line into a card, you'll end up with hundreds of cards you don't need, and you'll stop reviewing them. The goal is the opposite: fewer, sharper cards.
Step 1: Mark what could be on the exam
Read through the notes once and highlight only what you'd be asked about: definitions, mechanisms, numbers, steps in a process, comparisons. Everything else stays in your notes and doesn't need a card.
Step 2: Turn each highlight into one fact
Rewrite long sentences so that each one carries a single idea. For example:
Original note: “Two things must happen at once: NMDA receptors open only when glutamate binds and the membrane is already depolarized, and this coincidence detection lets calcium enter the cell.”
That's two facts. As cloze cards:
- NMDA receptors open only when [...] binds and the membrane is already depolarized. (glutamate)
- [...] lets calcium enter the cell. (coincidence detection)
Step 3: Choose the card type
- Cloze for definitions, facts and short processes. It's the quickest, because you reuse your own sentence.
- Question and answer for "why" and "how" questions that need a sentence of explanation.
If you're not sure about the syntax, our guide to Anki cloze deletion has examples.
Step 4: Add context and tags
A card without context is hard to answer a month later. Add a short note (the course, the lecture, or one line of explanation) and tag each card by lecture or chapter, like bio201 and lecture4. Tags let you study one lecture before a quiz or delete a batch you no longer need.
Step 5: Review before you study
Do a quick pass over the new cards before you start studying them. Fix unclear wording, split cards that test two things, delete duplicates, and double-check numbers and names. A wrong card is worse than no card, because you'll memorize the mistake.
Where AI helps, and where it doesn't
Steps 2 to 4 are mostly mechanical, and that's where an AI card generator saves the most time. You give it your notes (PDF, Word, PowerPoint or text), and it proposes cloze cards with tags and a short note for each one. The review step is where you stay in charge.
Citecards is built around that review step. It shows every card next to the original page, with the sentence it came from highlighted, so you can verify a card in a second instead of searching your notes. Then you can edit anything, delete what you don't need, and export a deck that opens directly in Anki.
Limits to know about: it reads text, so scanned pages and images aren't supported yet, and complex math formulas might not come out perfectly.
A realistic schedule
- Same day as the lecture (15–20 minutes): mark the notes and generate or write the cards.
- Next day: do a quick quality pass, fix what's unclear, and add tags.
- Every day after: do your Anki reviews. The deck is only useful if you actually review it.
Common mistakes
- Making a card for everything. More cards means more reviews, and eventually you stop.
- Copying a whole paragraph into one card. If you can't answer it in a few seconds, it's too big.
- Never editing generated cards. A quick edit pass is what makes the deck yours.
- Waiting until exam week. Spaced repetition needs time to work. Start early, even if you only add a few cards a day.
Frequently asked questions
How many cards should I make per lecture?
There's no fixed number. A useful rule is to make cards only for what could be tested, and to stop when each new card feels like a repeat of one you already have.
Can I make cards from PowerPoint slides or Word documents?
Yes. Citecards accepts PDF, DOCX, PPTX and TXT files, or pasted text.