KardsAI

KardsAI is an exam preparation tool that turns any PDF, note or prompt into smart flashcards and quizzes. KardsAI turns PDFs, PowerPoint files, notes, handwriting and topic prompts into editable flashcards, then supports study through quizzes, matching games, an AI voice tutor and adaptive spaced repetition.

KardsAI is an AI flashcard maker that converts study material into editable decks in seconds. The source can be a PDF, a PowerPoint deck, a Word document, pasted text, a photo of a handwritten page, or simply a topic prompt. KardsAI extracts what matters from the material and writes the cards, which the learner can then edit before studying. The site reports more than 10 million flashcards generated and support for over 100 input languages. Once a deck exists, KardsAI offers four ways to practise: plain flashcards, multiple choice quizzes, true or false questions, matching games, and an AI Tutor mode that runs an interactive voice session grounded in the learner's own deck and gives immediate feedback. Adaptive spaced repetition schedules each card for review at the point it is about to be forgotten, and progress and retention tracking keeps weak cards in focus. The stated aim is fewer hours spent building materials and more time on active recall. The tool is aimed at students preparing for exams, language learners building vocabulary with context and examples, and self-directed learners who want a deck on any subject. KardsAI says a deck saves about 60 minutes on average. It runs as a web app and as native iOS and Android apps, with study possible online or offline, so a session can continue on a phone without a connection. Compared with generic chat assistants that can produce a list of questions on request, KardsAI keeps the material inside a study system: decks persist, review scheduling is handled for you, and the tutor works from your own cards rather than a blank conversation. Against traditional flashcard apps, the differentiator is automated card creation from files and images rather than manual authoring. The trade-off is that generated cards still need a human pass for accuracy, especially on dense technical PDFs.