Private Learning
MEMORA
AI should help you study, not collect your source material.
Memora helps you make better cards without uploading the material you are trying to learn. Paste notes, import a text-layer PDF, or choose a photo for local Vision OCR. Apple Foundation Models creates source-grounded drafts on-device, with a NaturalLanguage fallback when Apple Intelligence is unavailable. Nothing enters a deck until you review and edit it. FSRS then schedules recall with visible intervals, relearning, and undo. Memora remains in active development, stores decks locally, and does not currently claim iCloud sync.
Why it exists
AI should help you study, not collect your source material.
Memora converts material you provide into editable draft cards, puts every draft through a review gate, and uses FSRS to decide when recall is most useful. The source stays visible, the schedule stays understandable, and every rating can be corrected.
No hidden data path
Useful from the first input to the final result.
- 01
Bring Your Material
Paste notes, import a text-layer PDF, or choose a photo whose text can be extracted locally with Vision.
- 02
Generate Draft Cards
Apple Foundation Models creates source-grounded drafts; a local text-analysis fallback keeps standard generation useful without Apple Intelligence.
- 03
Review before Saving
Edit, include, or discard each proposed card so generated material never bypasses the learner’s judgment.
- 04
Review at the Right Time
Rate recall as Again, Hard, Good, or Easy and let FSRS update memory strength and the next due interval.
What it does
Purpose-built for one private workflow.
Private Source-to-Card
Notes, embedded PDF text, and selected-photo OCR are transformed locally, with a human review gate before any generated card enters a deck.
Memory, Made Visible
FSRS powers four-grade review, next-interval previews, intra-session relearning, one-step undo, and a visible memory-strength model.
More Ways to Retrieve
Basic, cloze, and image-occlusion cards extend into Match, Listen, practice tests, sharing, and an Apple-Intelligence-only tutor grounded in the current deck.
Privacy is architecture
A shorter data path.
A clearer privacy boundary.
Core card generation, PDF text extraction, selected-photo OCR, storage, and scheduling happen locally. PDFs need embedded text, scanned PDFs are not OCR’d as documents, and the current build does not offer iCloud sync. Similar-card generation and the tutor require Apple Intelligence.
Read the full privacy modelBefore release or install
Questions worth asking.
Memora can generate draft cards from pasted or typed notes, PDFs that contain an embedded text layer, and a photo selected from the library for local Vision OCR. It does not currently OCR an entire scanned PDF as a document or provide an in-app document camera, so those broader claims would be inaccurate.