AI Flashcard Generator: flashcards from your PDFs and notes

Yes. You can upload a PDF or a PowerPoint to ChatGPT, or paste your notes, and ask for flashcards. For a one-off set that is a reasonable approach. What you get back is text in a chat, so you still have to move it into a flashcard app, and ChatGPT does not schedule your reviews or remember which cards you keep missing.

If you use it for Anki, ask for a format Anki can import: "Make 30 flashcards from this PDF, one per line, front and back separated by a semicolon, no numbering." Save the reply as a .txt file and import it. For Quizlet, ask for a tab between front and back and paste the result into Quizlet's import box.

An AI flashcard generator removes the copying and formatting: the deck lands in a spaced repetition schedule straight away, and you can still export it as CSV if you prefer to review elsewhere.

Generate the deck in QuerySpark, then export it as CSV. The file has two columns, Front and Back, with a header row. In Anki desktop:

1. Choose File, then Import, and pick the CSV.
2. Set the field separator to Comma and choose the deck and note type (Basic works).
3. Map the first column to Front and the second to Back.
4. Delete the card that holds the header row ("Front" / "Back") if your Anki version imports it.

Anki then schedules the cards with its own algorithm. If you already have years of reviews in Anki, that is a good setup: let the AI write the cards, and keep reviewing where your history lives. See QuerySpark vs Anki for when each makes sense.

The route into Quizlet is the same CSV. Open it in Google Sheets or Excel, select the Front and Back columns below the header, and copy. When you create a Quizlet set, choose Import, paste, and pick Tab between term and definition and New line between cards. Each row becomes one card.

Going the other way works too: QuerySpark can import Quizlet and Anki cards exported as text, so an old deck can sit next to new AI-generated ones. Comparing the two apps? Read QuerySpark vs Quizlet.

Count new cards, not total cards. For most students 10 to 20 new cards a day is sustainable; Anki's default is 20. The reason to keep it modest is that every new card brings reviews over the following days and weeks, so after a couple of weeks your daily reviews can be several times your new cards.

Work backwards from the exam: a 600-card deck at 20 new cards a day takes 30 days to see once. If the exam is in three weeks, raise new cards to about 30 a day, or cut the deck to what is actually examined. And if a day's reviews take more than an hour, stop adding new cards for a few days rather than skipping reviews.

The best one writes cards you would have written yourself and gets out of the way. Judge any tool, including this one, on five things: does it read your material (scanned PDFs, slides, handwriting); does it keep cards to one fact each; does it offer cloze as well as basic cards; does it schedule reviews with spaced repetition; and can you take the deck elsewhere as CSV.

If you only need to memorise a standard list, such as the bones of the hand, a pre-made deck may be faster than generating one; there are free public sets in Exploreyou can study without an account. Generating pays off when the deck has to match your lecturer's notes rather than a textbook's.