AI Flashcard Generator in 2026: Anki (30k Stars) + LLM - Turn Any Textbook into Spaced-Repetition Cards Automatically
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
- Export cards to CSV:
front,back,tagsper line. - In Anki: File - Import - select the CSV, map fields.
- 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
- Anki's SM-2 spaced repetition lifts long-term retention from ~30% to 80%+ vs cramming.
- An LLM generates 100 quality cards from a chapter in ~2 minutes for ~$0.1.
- Anki is free on desktop/Android; the iOS app is a one-time ~$25 purchase.
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.
Written by our editorial team; tools listed here are tested or verified against public sources. Links point to official sites or GitHub repos for reference only โ no paid placements.
