Knowing that flashcards and spaced repetition work is one thing; getting your actual course materials into that system is another. This hub is home to our step-by-step, workflow-first guides — no learning-theory prerequisites, just a concrete process you can follow from start to finish.
The flagship guide here covers converting PDFs to flashcards: turning lecture slides, textbook chapters, scanned notes, and images into a study-ready deck in seconds using AI. It walks through which source formats produce the best cards, how to select page ranges so decks stay focused, and how to clean up the generated cards before your first review session. It is the fastest route from a semester of dead documents to an active review system.
More walkthroughs are on the way. In the meantime, if you want the deeper why behind the workflow, the Learning Science hub covers the research on spaced repetition and active recall, and the Study Tips hub covers technique — how to write effective cards, structure finals week, and plan a schedule. This section is the how: shortest path, fewest decisions, working deck by tonight.
Learn how to convert your PDFs, documents, and images into study-ready flashcards using AI. A step-by-step guide to transforming any study material into an effective flashcard deck.
Read ArticleUpload the PDF to an AI flashcard app like Study Genius AI, select the pages you want covered, and the AI extracts key concepts into question-and-answer cards — typically in under a minute. Our step-by-step guide covers supported formats, page selection, and how to review the generated deck before you start studying.
PDFs are the most common, but modern AI study tools also handle images such as photos of notes or whiteboards, Word documents, and pasted text. Clean, text-based PDFs give the best card quality; scanned documents depend on OCR accuracy, so check the generated cards more carefully.