warpread

Free Tool

Spaced Repetition Flashcard Maker

Build a flashcard deck in your browser, import one from a plain text file, and export it as a self-contained HTML file that works offline. No account, and your cards never leave your device.
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Generate cards with AI

Paste your notes into any AI (ChatGPT, Claude, Gemini). Use the prompt below to generate a .txt file in the right format, then import it here in one click.

Why flashcards work when re-reading does not

A flashcard forces retrieval. You see the prompt, and before the answer appears you have to produce it from memory — or fail to, which is itself informative. Re-reading a page offers no such moment. The text is in front of you, it feels familiar, and familiarity is easily mistaken for knowledge.

That mistake is the reason so much studying feels productive and produces so little. Retrieval practice, by contrast, is uncomfortable in proportion to how much it is doing. The desirable difficulty is the mechanism, not a side effect of it.

Spacing compounds the effect. Reviewing a card three times in one evening is worth far less than reviewing it once tonight, once in three days and once next week, even though the total effort is identical. For the exact gaps to use, see the spaced repetition schedule.

Writing cards that are worth reviewing

One idea per card. A card asking for four causes of something will be half-remembered forever, because you can never cleanly succeed or fail at it. Split it into four cards.

Ask a question, not a topic. “Krebs cycle” on the front of a card is a heading. “Where in the cell does the Krebs cycle take place?” is a card.

Write cards from your own notes. Cards made from someone else’s deck test their understanding of the material, not yours. Making the card is itself a large part of the learning — which is the main argument for drafting cards from your Cornell notes rather than downloading a ready-made set.

Avoid cards you cannot answer wrong. If the phrasing gives the answer away, the card will always feel easy and will teach you nothing.

Fitting cards into a study week

Cards are for facts, definitions, vocabulary, formulae and anything else with a short, checkable answer. They are poor at essay structure, argument and judgement — those need writing practice and past papers, not review sessions.

A workable pattern for most students: take notes during teaching, convert them to cards within a day or two while the context is still there, then review in short sessions rather than long ones. Twenty minutes daily beats two hours on Sunday. Pair the review with a Pomodoro timer if sessions tend to drift, and interleave subjects rather than blocking them — mixing topics feels worse and works better.

Common questions

What is spaced repetition?
Spaced repetition schedules reviews at widening intervals, so you see each card shortly before you would have forgotten it. Instead of reviewing everything every day, you review the things you are about to lose. The effect is large and well replicated: the same total study time produces substantially better long-term retention than massed practice or re-reading.
How do I import flashcards from AI?
Open “Import”, then “AI flashcard prompt” to copy a structured prompt. Paste it into ChatGPT, Claude or Gemini with your notes below it. The model returns a .txt file in the correct Q|A format — import that and the whole deck loads at once. It is much the fastest way to turn a chapter of notes into cards, though it is worth reading the generated cards before you trust them.
Can I use my flashcards offline?
Yes. "Export HTML" downloads a self-contained file that works offline in any browser, including focus mode, the flip animation and your full deck. You can email it to a classmate or open it on a device with no connection.
How is this different from Anki?
This is a lightweight builder — no account, no install, no sync. It is built for making a deck quickly, especially through the AI import route, and exporting something you can keep. Anki remains the better choice for long-term scheduling with a mobile app and a full SM-2 implementation. The two work well together: draft here, review there.