Built for slide decks and PDFs
Upload a lecture deck exported to PDF and get a set covering it, without retyping anything.
Upload the slide decks and readings you were given and get flashcards, quizzes, and summaries covering them.
A university module is typically ten or twelve lecture decks, a reading list, and seminar notes, revised in a fortnight. Reading all of it again is not realistic and is not effective either. What works is finding out fast what you cannot recall, then fixing only that.
ExamSaver takes the slides and readings you already have and produces the testing layer. Flashcards for definitions and named studies, multiple-choice questions for recall under time pressure, and summaries so you can re-enter a topic quickly weeks after the lecture.
For long reading-list PDFs, chat with the document is often more useful than another read: ask what the argument of a chapter is, or what a term means in that author's usage, and get an answer grounded in the file rather than the open internet.
Upload a lecture deck exported to PDF and get a set covering it, without retyping anything.
Generate a set per lecture, sit them all, and you have a map of what you know before you decide where to spend revision time.
Chat is grounded in the document you uploaded, so answers cite the source material rather than inventing context.
Spaced repetition keeps first-term material available for finals instead of letting it decay.
Law cases, medical terminology, economics models, engineering formulas — anything that comes as text or slides.
Share a live challenge on a set, or run a room so a seminar group answers the same questions together.
PDF decks, reading PDFs, pasted notes, or a recording of the lecture itself.
Keeping sets small and topic-shaped makes them far easier to revisit than one enormous set.
Use the results to decide where the remaining revision time goes.
Ten minutes a day across a term is worth more than a week of cramming, and the app tells you what is due.
Yes — export the deck to PDF and upload it. Text on the slides is read directly, and images of text are handled with OCR.
Long documents are supported; very large files are processed in sections. If a reading is enormous, uploading it a chapter at a time produces tighter, more useful sets.
From your document. It uses retrieval over the file you uploaded, so answers stay grounded in your own material.
Yes, voice recordings are transcribed and can be turned into study sets — subject to your institution's rules on recording lectures.
Upload a chapter, a set of notes, or a past paper and see what comes back. It's free to start.
Open the web app