# Best flashcard app from your own notes: AI flashcards in WeSolve+ > Create AI flashcards from your notes with WeSolve+ for active recall, smart review cards from your material, studied in the app. Free on iOS and Android. Source page: https://wesolveapp.com/features/ai-flashcards Language: en Last updated: 2026-10-01 WeSolve+ works as an AI flashcard generator: it builds flashcards from your notes so you practise active recall instead of rereading. Cards return at increasing intervals, so a card you keep missing comes back sooner than one you already know. You turn lecture notes into flashcards without typing them, and the deck follows your own syllabus rather than someone else's. You can start free in your browser, on iOS or on Android. ## Who it's for, and who it isn't Upload lecture notes or a PDF and the flashcards get written for you. The deck follows your own syllabus, and cards you miss return sooner. Generation is automatic, so if you like hand crafting each card with detailed options, you'll feel boxed in. Planning to move the deck into another card app or a school platform? WeSolve+ has no export or integration for that. Start in the browser, on iOS or on Android without a credit card; the free plan gives two PDF uploads a day. Premium costs ₺299.99 monthly on the web, and the App Store shows your currency. ## How does WeSolve+ turn my notes into flashcards? You upload a PDF, photo, or typed notes, and the AI reads your material to generate smart review cards tied to the key points. Each card is derived only from what you uploaded, so the prompts and answers stay faithful to your source. How many flashcards you get is set by the file rather than a fixed number: one upload produces as many cards as the material supports. You can then review the deck inside the app whenever you want to study. If you would rather paste text than upload a file, the [flashcard maker](https://wesolveapp.com/flashcard-maker) turns pasted notes into cards in your browser, with nothing uploaded. Practice testing is one of the two techniques [Dunlosky and colleagues](https://pubmed.ncbi.nlm.nih.gov/26173288/) rated as broadly effective in 2013. ## What is active recall and why do these cards use it? Active recall means retrieving an answer from memory before you check it, which strengthens learning far more than rereading. WeSolve+ flashcards show you a prompt, let you try to answer, then reveal the card so you can confirm or correct yourself. This flip and check loop is the core of how the review works inside the app. WeSolve+ also schedules each card with spaced repetition, resurfacing it at growing intervals so you review it right before you would forget. [Roediger and Karpicke](https://pubmed.ncbi.nlm.nih.gov/16507066/) measured that gap in 2006: a week after study, the group that had been tested retained clearly more than the group that reread. ## Do I need to leave the app to study my flashcards? No. Once your notes are generated into cards, you review the whole deck directly inside WeSolve+ on iOS or Android. There's no export step or separate flashcard tool to manage, so you can go from uploading notes to studying in the same session. ## Can I combine flashcards with quizzes and other study modes? Yes. The same notes that produce flashcards can also power AI quizzes, a short audio recap, and duels with friends. Progress and weak topic tracking help you see which subjects still need work, so you can spend your review time where it matters most. ## How does the interval actually change? The interval is set by your answer, not by the topic. A card you get right spaces out and comes back less often; a card you miss returns within a short window. The point is not to spread revision evenly but to land it near the moment you would otherwise forget. In practice this means that within the same hour of study, less time goes to cards you already know and more goes to the ones you do not. Cards are built from your PDF in 10 to 20 seconds, so you never spend an evening writing a deck before you can start. Timing the return near the point of forgetting is the mechanism [the forgetting curve](https://en.wikipedia.org/wiki/Forgetting_curve) describes. ## How WeSolve+ AI flashcards support active recall | Study step | What you do | What the app does | | --- | --- | --- | | Upload | Add a PDF, photo, or typed notes | Reads your material as the source | | Generate | Tap to create a flashcard deck | Builds smart cards from your notes | | Recall | Answer before flipping the card | Reveals the answer to confirm | | Review | Cycle through the deck in app | Tracks progress and weak topics | ## FAQ ### Are the flashcards accurate to my own notes? Yes. Every card is generated only from the material you upload and stays faithful to it, so the app does not add outside facts your notes don't contain. ### Is WeSolve+ free to use for flashcards? You can start free in the browser, on iPhone or on Android, with cards built from your own PDF or photograph. The plan figures are on the pricing page. ### Is WeSolve+ available on Android? Yes. Install WeSolve+ from Google Play on an Android phone, or open wesolveapp.com in its browser; iPhone and iPad have an App Store app, and all of them use the same account. ### What happens to the files I upload to make flashcards? Uploaded files are tied only to your account and stored encrypted, and unused files are automatically cleaned up after a while. ## Sources - [WeSolve+ on the App Store](https://apps.apple.com/app/id6769554513): version, category and rating - [WeSolve+ on Google Play](https://play.google.com/store/apps/details?id=com.wesolve.mobile): version and category - [Hermann Ebbinghaus, the forgetting curve (1885)](https://en.wikipedia.org/wiki/Forgetting_curve): the measurement spaced repetition rests on - [Roediger and Karpicke, Test-Enhanced Learning (2006)](https://pubmed.ncbi.nlm.nih.gov/16507066/): the study measuring retrieval practice against rereading - [Cepeda et al., distributed practice meta analysis (2006)](https://pubmed.ncbi.nlm.nih.gov/16719566/): a review across 254 studies of spacing - [Dunlosky et al., improving students' learning (2013)](https://pubmed.ncbi.nlm.nih.gov/26173288/): Psychol Sci Public Interest 14(1) 4-58, yontem etkinligi degerlendirmesi --- This is the machine readable version of a page. Written with AI assistance and reviewed before publishing.