The collection / MemoraAvailable on the App Store

Memora

Flashcards and spaced repetition

Learn from the notes you already have.

Turn your notes, photos, and PDFs with selectable text into flashcards on your iPhone. Choose the cards worth keeping, then let your recall guide the review schedule.

Get Memora Check requirements

Card generation, text recognition, and review scheduling run on your iPhone. Decks stay in the app’s local store. Full boundary

iPhone
Available on the App Store.

Memora: Choose what to add. App preview with example content. Available on the App Store.
Select the drafts to add. This capture shows cards produced by on-device text analysis.App preview · Example content · Available on the App Store

Making your first cards

Choose the cards you want to study.

Memora makes a first draft from your material. You decide which cards belong in the deck, and you can edit them after saving.

  1. Add your material.

    Paste notes, select a PDF with embedded text, or capture text from a photo or camera scan. Start with a passage you want to learn.

  2. Review the drafts.

    Read the proposed questions and answers, deselect the ones you do not want, and add the rest together. Saved cards can be edited in the deck.

  3. Rate what you remember.

    After each review, choose Again, Hard, Good, or Easy. FSRS uses that response and your review history to decide when the card should return.

AI generation reads up to 4,000 characters and proposes up to 12 cards per run. For pages without selectable PDF text, use photo or camera text capture.

Practise in a different way.

Match questions with answers, listen to text cards, or cover labels on a diagram. You can use these modes with the material already in your decks.

Match needs at least two eligible text cards. Listen is for text cards; image cards can be made manually.

Work through what you missed.

Plus Use Test mode to check your knowledge, then ask the on-device tutor about your deck. Plus also adds automatic label detection for image cards and more detailed study statistics.

The tutor uses a limited selection of cards as context. Check its answers against your study material.

Keep using the cards you have.

Import compatible Anki text decks, Quizlet text exports, or CSV. Share a Memora deck or export the content of your library with its available images. Import and export do not require Plus.

Anki import supports legacy anki2/anki21 databases, not anki21b or Anki media. Restored decks start a fresh review schedule. CSV export is text-only.

Plans and availability

Get Memora.

Available on the App Store

Check the App Store and the offer in the app for current plans, features, allowances, and your local price.

View Memora on the App Store

What you will need

Memora requires iPhone with iOS 26 and an A17 Pro chip or later. When Apple Intelligence is switched off or still downloading on a capable device, manual study and fallback text analysis remain available.

The Boundary Check

How Memora handles your records.

Where the work happens, where your records live, and which features use a connection.

Where does the processing happen?
Apple Foundation Models generates cards on-device. Vision reads photos; PDF text extraction and FSRS scheduling also run locally. A text-analysis fallback is available.
Where does the storage live?
Decks are stored in a local database. The current build has no iCloud deck sync. Library backup files contain cards and available images, not the study schedule or review history.
What connects to the network, and when?
Required model setup and App Store purchases can use a connection. Import and export use the files and destinations you select; no Memora account is required.
Read the collection’s privacy model

Before you download

Questions about Memora.

Use notes, a PDF with selectable text, a photo, or a camera-scanned page. Photo and camera input use local text recognition; an image-only PDF is not processed through that scanner. Generation works from a bounded excerpt, currently up to 4,000 characters and 12 cards per request, so it does not promise coverage of an entire book.