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.

## 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 ```python 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 - 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.