The AI workspace for your flashcards

The AI workspace for your flashcards

Generic flashcard apps make you write every card by hand. Generic AI flashcard tools generate cards from their training data, which means the questions reflect a textbook version of the topic rather than what your professor actually taught. Neither works well. Writing cards by hand takes hours you don't have. Generic cards test you on the wrong things: the textbook definition instead of the lecturer's framing, the standard example instead of the case study from your seminar, the broad concept instead of the specific distinction your course emphasises.

Fabric's AI tutor reads your lectures, readings, and notes, then generates flashcards from what you actually need to know. The cards are grounded in your course materials. They test you on what your professor taught, using the terminology from your slides and the examples from your readings. Not a generic question bank. Your course, your cards.

Generated from your actual materials

Upload your lecture slides, readings, and notes to Fabric. Ask the AI assistant to generate flashcards from a specific lecture, a reading, a module, or the full semester. The cards are created from your actual content: the definitions your lecturer used, the distinctions your course emphasises, the case studies from your assigned readings.

Ask for cards on a specific topic: "generate flashcards on the nervous system from my anatomy lectures." Ask for cards at a specific difficulty: "harder questions on the material from weeks 4 through 6." Ask for cards that target your weak areas: the AI has memory across sessions and knows what you've struggled with.

The cards aren't static exports. They're generated on demand from a living library that grows as you add more material. New lectures produce new card potential. New readings deepen the question pool. The flashcard capability gets richer as your library does.

Quiz yourself conversationally

Flashcards don't have to be rigid card-flips. Ask the AI tutor to quiz you conversationally. It asks a question. You answer. It tells you whether you're right, explains why if you're wrong, and cites the specific lecture or reading the answer comes from. The experience is closer to a tutorial than a flashcard deck because the AI can follow up, probe your understanding, and adjust based on your responses.

Ask it to focus on the material you keep getting wrong. Ask it to increase the difficulty as you improve. Ask it to mix questions across modules to test whether you can connect concepts. The retrieval practice that makes flashcards effective is preserved, but the experience adapts to you.

Connected to the source material

Every flashcard answer traces back to a source: a page in a reading, a slide in a lecture, a timestamp in a recording. When you get a card wrong and want to understand why, the link takes you to the original material. The flashcard isn't an endpoint. It's a gateway back to the content it was generated from.

AI search lets you search across every card topic in your library. "Everything I have on cellular respiration" finds the flashcards, the lecture slides, the reading, and your notes together. The cards exist as part of the broader study system, not in a separate app.

Your notes become cards automatically

Write notes during a lecture in notes and docs. After the lecture, ask the AI to generate flashcards from the notes you just took. Record the lecture with AI voice notes and generate cards from the transcript. Annotate a reading with annotations and generate cards from the passages you highlighted. Every form of engagement with your course material becomes flashcard-ready without a separate card-writing session.

Study on mobile

Review flashcards on the mobile app between classes, on the bus, or during a break. The AI quizzes you from your phone. Everything syncs, so cards generated on your laptop are available on your phone immediately.

Who uses Fabric for flashcards

Students across every discipline: law students testing case knowledge, medicine students drilling anatomy and pharmacology, psychology students reviewing theories and studies, business students testing frameworks, history students reviewing key events and arguments. Any student who wants flashcards that match their actual course rather than a generic curriculum.

For the full study workflow, see studying and exam prep. For the AI tutor approach, see AI tutoring and the Bloom's two sigma problem guide. For structured study approaches, see student study system.

Get started

Upload your lectures and let the AI generate flashcards from your actual course. Try Fabric free.

Comparing tools? See the best AI study app and how Fabric compares to TurboLearn and StudyFetch.

FAQs

Are the flashcards generated from my course materials?

Yes. The AI tutor generates cards from your uploaded lectures, readings, and notes. The questions reflect what your professor taught, not a generic question bank.

Can I generate cards from a specific lecture or reading?

Yes. Ask for flashcards from a specific lecture, reading, module, or topic. The AI creates cards from exactly the material you specify.

Can the AI quiz me conversationally instead of card-flips?

Yes. The AI assistant asks questions, evaluates your answers, explains corrections, and follows up. It adapts difficulty based on your responses.

Does the AI know what I've struggled with?

Yes. The assistant has memory across sessions. It can focus on weak areas and increase difficulty as you improve.

Can I generate cards from my own notes?

Yes. Write notes, and ask the AI to generate flashcards from them. Cards from annotated readings, lecture transcripts, and typed notes all work.

Do cards link back to the source material?

Yes. Every answer traces to a specific page, slide, or timestamp. When you get something wrong, you can jump to the original content.

Can I study flashcards on my phone?

Yes. The mobile app supports AI quizzing and flashcard review. Everything syncs across devices.

Is my data private?

Yes. Fabric uses AES-256 encryption and is CASA Tier 2 compliant. Your data is never used to train AI models.