How to Make Anki Flashcards Faster with AI (No More Manual Entry)

Anki is one of the most effective study tools ever created. The algorithm is solid, the spaced repetition is proven, and students who stick with it consistently outperform those who don't.

The problem? Making Anki cards is painfully slow.

Typing every question and answer by hand, one card at a time, is a significant time investment. For a full semester of lectures, it can take dozens of hours — hours better spent actually studying the cards rather than making them.

AI changes this completely. You can now generate a full Anki-quality deck from your own notes in under a minute. This guide explains how to do it, which tools to use, and how to make sure the output is actually worth studying.

Why Anki Works (And Why Setup Holds Students Back)

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Before diving into the AI side, it's worth understanding why Anki has such a strong reputation among serious students.

The Spaced Repetition Algorithm

Anki uses SM-2, an algorithm that schedules each card for review at the optimal moment — just before you'd forget it. Cards you struggle with come back tomorrow. Cards you know well come back in a week, then a month, then longer. The result: maximum retention with minimum review time.

This is the same principle behind spaced repetition — one of the most well-researched memory techniques in cognitive science, backed by decades of evidence.

The Active Recall Mechanism

Every time you see a question and try to answer before flipping, you're doing active recall. The act of retrieval — not re-reading — is what creates durable memory. The testing effect research from the APA shows this beats passive review by a wide margin.

The Setup Problem

Despite how good Anki is, many students abandon it within weeks. The most cited reason: making cards takes too long. By the time you've typed 200 cards for one module, you've spent hours you don't have — and the exam is still approaching.

AI solves this without compromising the underlying method.

How to Create Anki Flashcards with AI

There are two main approaches: tools that export directly to Anki, and tools with their own built-in spaced repetition that replicate what Anki does.

Approach 1: AI Tools That Export to Anki

Some AI flashcard generators can produce output that imports directly into Anki as an .apkg file or CSV:

Step-by-step: generate and import

Paste your notes or upload a PDF into an AI flashcard tool
Let it generate question-answer pairs
Export as CSV or .apkg
In Anki: File → Import → select your file
Map the columns (Question → Front, Answer → Back)
Import and start reviewing

The main limitation: not every AI tool supports Anki export. Check the export options before committing to a tool.

Tools that support Anki export or CSV import:

Notion AI (exports to CSV)
ChatGPT (manual CSV output, then import)
Dedicated AI card generators with export features

Approach 2: AI Study Apps With Built-In Spaced Repetition

Apps like TikoNote skip the Anki export step entirely. You upload your notes, the AI generates cards, and you study them with built-in spaced repetition — no import/export workflow needed.

This is faster and simpler for most students, especially if you're not already heavily invested in Anki's ecosystem.

Comparison: Anki + AI export vs. AI study app

Factor	Anki + AI Export	AI App (TikoNote)
Setup complexity	Medium	Low
Spaced repetition quality	Excellent (SM-2)	Excellent
Anki ecosystem compatibility	Full	Separate system
Card generation speed	Fast	Fast
Mobile study experience	Good (paid iOS)	Yes
Best for	Committed Anki users	Students starting fresh

Making Better Anki Cards With AI: Quality Control

AI generation is fast, but fast output still needs a quality check before you study it.

The 5-Point Card Audit

Before adding AI-generated cards to your Anki deck, run each card through these checks:

Is the question specific enough? "What is osmosis?" is fine. "Tell me about cell membranes" is not.
Is the answer short? One sentence or less. If it's longer, split it into two cards.
Does the front have enough context? You shouldn't need to see the back to understand what's being asked.
Is this actually testable? Delete anything that's background context, not a fact worth testing.
Is it a duplicate? AI sometimes generates the same concept twice in different wording — keep the better version.

Formatting Anki Cards for Maximum Retention

Use cloze deletions for complex information: Instead of: Q: "What year was the French Revolution?" / A: "1789" Use: "The French Revolution began in {{c1::1789}}"

Anki's cloze deletion type handles these automatically. They're particularly effective for dates, formulas, and sequences.

Add images when the concept is visual: Anki supports image fields. For anatomy, chemistry structures, or geography, adding a diagram to the card makes retrieval more concrete.

Keep tags consistent: Tag every imported card with the module name (e.g., "bio101", "week3"). This lets you filter decks by topic during revision.

Tips for Sticking With Anki Long-Term

Getting the cards into Anki is step one. Actually reviewing them daily is where most students fall short.

Set a Daily Card Limit

In Anki settings, set a daily new-card limit of 20–30 cards. This keeps review sessions under 15 minutes — sustainable every day, rather than an overwhelming backlog once a week.

Never Skip a Review Day

Missed days compound. If you skip two days, Anki queues up two days of reviews plus today's — which quickly becomes overwhelming. Ten minutes every morning beats a two-hour catch-up session on Sunday.

Pair Anki With Deeper Study Tools

Anki is excellent for facts and definitions, but it won't teach you to understand complex concepts or apply them. Pair it with tools like TikoNote's Feynman AI Tutor for subjects where understanding matters as much as memorisation.

Use Quizlet as a Starting Reference, Not a Replacement

Pre-made Quizlet decks can be a useful starting point for identifying what's worth carding — but never rely on someone else's deck as your primary study tool. Making cards from your own notes is significantly more effective.

Conclusion

Anki's spaced repetition algorithm is one of the most effective memory tools available to students. The bottleneck has never been the reviewing — it's always been the setup. AI flashcard generation removes that bottleneck completely.

Whether you export AI-generated cards directly into Anki or use an AI study app with built-in spaced repetition, the result is the same: you spend your study time actually learning, not typing.

Start by converting your most recent lecture notes tonight. Run the quality audit, import the cards, and do your first review session. The algorithm will handle the rest.

Skip the Manual Work — Let AI Make Your Flashcards

TikoNote's AI flashcard generator turns your notes, PDFs, or any text into smart study cards in seconds. No typing, no formatting — just upload and study.

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Frequently Asked Questions

Can I import AI-generated flashcards directly into Anki?

Yes — if the AI tool supports CSV or .apkg export. In Anki, go to File → Import, select your file, and map the columns. Most CSV imports work by mapping "column 1" to Front and "column 2" to Back. Some dedicated AI tools generate Anki-compatible files directly.

What's the best way to make Anki cards from a PDF?

Upload your PDF to an AI flashcard generator that supports PDF input, let it generate the question-answer pairs, then export to CSV and import into Anki. TikoNote accepts PDF uploads and processes the text automatically. Alternatively, copy the key passages from your PDF into a text paste field and let the AI work from that.

How many cards should I add to Anki per day?

Set a new-card limit of 20–30 per day in Anki settings. This keeps daily review sessions to 10–15 minutes. Adding too many cards at once creates review backlogs that feel overwhelming and lead to abandoning the app entirely.

Does Anki's algorithm work the same as spaced repetition in AI apps?

Anki uses the SM-2 algorithm, which is well-tested and effective. AI study apps like TikoNote use similar spaced repetition principles — reviewing cards at increasing intervals based on recall performance. The underlying science is the same; the interface and ecosystem differ.

Is it better to use Anki or an AI study app?

If you're already committed to the Anki ecosystem and have existing decks, stick with Anki and use AI tools to speed up card creation. If you're starting fresh, an all-in-one AI study app is simpler — no import/export workflow, and the same spaced repetition science in a more integrated package.