AI Flashcard Generator in 2026: Anki (30k Stars) + LLM - Turn Any Textbook into Spaced-Repetition Cards Automatically

๐Ÿ“˜ Tutorials 2026-08-05 2 min read

Stop hand-writing flashcards. Anki (29,543 stars) + an LLM converts chapters, notes and PDFs into cloze and Q&A cards automatically - then Anki schedules the reviews for you.

💡 What You Will Learn

Stop hand-writing flashcards. Anki (29,543 stars) + an LLM converts chapters, notes and PDFs into cloze and Q&A cards automatically - then Anki schedules the reviews for you.

📜 Table of Contents

The short answer

The AI flashcard workflow: extract text from your study material (PyMuPDF, 10,400 stars, for PDFs), ask an LLM to generate cloze-deletion cards, import them into Anki (29,543 stars) - and Anki's spaced repetition handles the rest. Free, offline-capable, and you own the deck.

The generator

import fitz, openai, json

doc = fitz.open("chapter4.pdf")
text = "".join(p.get_text() for p in doc)[:20000]

resp = openai.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content":
        "From this text, create 15 cloze-deletion cards. Format: "
        "Front (sentence with {{c1::key term}}), Back (explanation). "
        "Return JSON list. " + text}])

cards = json.loads(resp.choices[0].message.content)
# [{"front": "...{{c1::mitochondria}}...", "back": "..."}]

Import into Anki

  1. Export cards to CSV: front,back,tags per line.
  2. In Anki: File - Import - select the CSV, map fields.
  3. Or use AnkiConnect add-on for scripted sync with zero clicks.

Card types that work best

Type Format Best for
Cloze deletion {{c1::term}} in a sentence Facts, vocabulary, definitions
Q&A Front question / Back answer Concepts, procedures
Image occlusion Hide labels on a diagram Anatomy, maps, UI layouts

Real numbers

FAQ

Q: Can I use a local LLM? A: Yes - swap in Ollama (177,825 stars) with any model; generation is slower but free and private.

Q: How many cards per day? A: 10-20 new cards/day is sustainable; Anki auto-limits reviews to your settings.

Q: Will the cards be accurate? A: Mini-class models are reliable for clear textbook text - spot-check the first batch and adjust the prompt.

❓ FAQ

Can I use a local LLM?

Yes - swap in Ollama (177,825 stars) with any model; generation is slower but free and private.

How many cards per day?

10-20 new cards/day is sustainable; Anki auto-limits reviews to your settings.

Will the cards be accurate?

Mini-class models are reliable for clear textbook text - spot-check the first batch and adjust the prompt.

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