When to review.
FSRS models memory and schedules cards from your explicit recall ratings. It is the open-source scheduling foundation also supported by Anki.
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We started with FSRS, the open-source scheduler also supported by Anki. Then we built Paivio’s own systems for connecting your material, organizing reviews and delivering recall practice.
FSRS models memory and schedules cards from your explicit recall ratings. It is the open-source scheduling foundation also supported by Anki.
Our concept-mapping system connects the material in your own decks. When the format your account is assigned uses the graph, on your own decks it orders reviews by prerequisite links within the due cards. It never adds a card or changes a due date.
Our retrieval system brings supported card presentations into the study session. Which study mechanisms are delivered depends on the format your account is assigned. Card presentations follow a fixed policy, not your individual mastery or past mistakes. Multiple choice and matching are held back while an account is being measured in the comparison.
Import an Anki .apkg, paste notes, or start from a topic. Check AI-generated content against your course material.
Answer, reveal and rate your cards. Your explicit ratings inform the review schedule.
Open your queue for the next review. Paivio uses spaced repetition to schedule cards over time.
Bring your study material into one workspace, then open your queue when it is time to review.
Explore the study loop →Your material. Your next review.
Bring your .apkg and review history. Start with the material you already know your way around.
Turn lecture notes into a draft set of questions. Refine the cards against your course sources.
Generate a starting set of concepts and questions, then make it your own.
Illustrative concept map
Preload, venous return and cardiac output belong to the same story. Paivio maps relationships like these so you can explore the material as connected ideas.
When the format your account is assigned uses the graph, on your own decks it orders reviews by prerequisite links within the due cards. It never adds a card or changes a due date.
Form an answer, reveal it, and rate your recall.
Retrieve the missing piece within a familiar statement.
Put the relationship into your own words on eligible cards.
Which study mechanisms are delivered depends on the format your account is assigned. Card presentations follow a fixed policy, not your individual mastery or past mistakes. Multiple choice and matching are held back while an account is being measured in the comparison.
We’re developing Paivio’s own machine-learning methods alongside our concept-mapping, review-ordering and retrieval systems. Our research trials and patent work are in progress.
We’ll publish our findings and share the technical details when that work is complete. Until then, the details of this ongoing work remain private.
Yes. Paivio supports .apkg imports, including review history. Import your deck to continue working with your own material.
Paivio is free during beta, with no card limits and no credit card needed. There is no paid plan to choose during beta.
FSRS provides the scheduling foundation. Paivio adds its own concept-mapping, review-ordering and retrieval systems around the material you study.
Study mechanisms depend on the fixed format assigned to the account. Review timing, ratings and due dates are the same across the comparison formats.
AI can make mistakes. Check generated questions and answers against your own course materials and edit them when needed.
Create an account and make your next review a place to begin.
Free during beta · No credit card · For students 18+