Your textbook, an Anki deck, in minutes.

Drop a PDF — get a ready-to-import .apkg back. Per-page generation that reads what you highlighted. No chat windows, no copy-paste.

See sample decks
Flashify workbench — a PDF page on the left with highlighted text, and the generated Anki cards on the right.

A real anatomy deck — 32 cards generated from a 14-page PDF, source page numbers preserved.

Real PDFs, real decks, real students.

These numbers came out of our database this morning. Every card was generated from a real student's upload — med, bar prep, CPA, biochem, history, more.

80+Students who turned their PDFs into decks with Flashify
2,400+Cards generated and ready to import into Anki
1,700+Pages of textbooks read page-by-page
The Workflow

How the PDF to Anki workflow works

You upload the source PDF once. Flashify reads it, finds the exam-relevant content, and hands back a deck you can edit before export — no chat windows, no copy-paste, no card-by-card typing.

01

Read the whole document, pick what matters

The AI reads your full PDF — paragraphs, tables, bullet lists — and identifies the facts that tend to show up on exams. You don't have to mark anything up first.

02

Generate one fact per card

Cards follow the atomicity principle so each flashcard covers a single knowledge point, which makes spaced repetition work better in Anki.

03

Review cards against the source PDF

Original text stays on the left, generated cards on the right. You can edit, delete, or tighten cards before export.

04

Export a real Anki deck

Download a standard .apkg file and import it into Anki desktop, AnkiMobile, AnkiDroid, or AnkiWeb.

Why this works better than generic AI flashcard prompts

You can use ChatGPT to make flashcards, but a study workflow needs more than a good prompt. These are the practical gaps Flashify is designed to close.

ChatGPT makes you copy-paste each chunk, reformat the output, and stitch it into a deck. Flashify takes a PDF in and gives an Anki <code>.apkg</code> out — the AI does the reading, picking, formatting, and Cloze deletions. You just review and export.

What you get in a PDF to Anki converter

The goal is not to flood you with cards. The goal is to turn your source material into a deck that is actually usable for spaced repetition.

Plain PDFs, Optional Annotations

Flashify works on regular PDFs first. If your file also has highlights or margin notes, the AI can use them as extra context when generating cards.

Cloze Deletion

Generates {{c1::...}} fill-in-the-blank cards automatically when Cloze format is the best fit.

Source Traceability

Each card links back to the original page number so you can verify the source before exporting.

Inline Editing

Edit any card before export. Tighten wording, add context, or delete cards you do not need.

Cross-Device

Standard .apkg files work on Anki desktop, AnkiMobile, AnkiDroid, and AnkiWeb.

Privacy

Your documents are used for card generation, not model training, and can be deleted from your account.

Real Decks, Real Subjects

Each of these decks was generated from a real study PDF in under 2 minutes.

42 cards

Cardiology — First Aid Step 1

42 cards covering heart failure mechanisms, valve pathology, and EKG interpretation.

68 cards

Pharmacology — Drug Mechanisms

68 cards on receptor binding, drug interactions, and side effect profiles.

55 cards

Pathology — Organ Systems

55 cards with Cloze deletions for disease mechanisms, histology findings, and lab markers.

PDF to Anki questions

Straightforward answers about what this AI flashcard generator does, what it does not do, and where manual review still matters.

Ready to transform your learning?

Your Study Material, an Anki Deck, in Minutes.

Drop your PDF in, let the AI do the reading and card-making, then export a ready-to-import .apkg. The fastest path from textbook to Anki deck without typing cards by hand.

Flashify | PDF to Anki Converter and AI Flashcard Generator