How to Make Anki Cards 10x Faster

If you use Anki, you already know it works. Spaced repetition is one of the most evidence-backed study techniques out there. But there is a dirty secret every Anki user eventually discovers: you spend far more time creating cards than reviewing them.

A typical med student might review 200 cards in 30 minutes. Making those same 200 cards from scratch? That can take an entire afternoon. The ratio is brutal. For every minute of review, you burn 5 to 10 minutes on card creation.

This article covers every practical way to speed up that process, from keyboard shortcuts you might be missing to AI-powered tools that can generate cards from any webpage in seconds.

Why Card Creation Is the Real Bottleneck

Anki's review algorithm is ruthlessly efficient. It shows you exactly the right card at exactly the right time. But the app was never designed to make card creation fast. The default workflow looks like this:

1. Read your source material (textbook, lecture notes, a webpage)
2. Switch to Anki
3. Click "Add"
4. Type the front of the card
5. Type the back of the card
6. Pick a deck
7. Click "Add" again
8. Repeat 199 more times

Every context switch between your source and Anki costs you focus. Every manual keystroke adds up. And if you are working from web content — articles, documentation, research papers — the copy-paste dance gets old fast.

Let's fix that.

Level 1: Master the Manual Workflow

Before reaching for tools, make sure you are getting the most out of Anki's built-in features. These techniques alone can cut your card creation time in half.

Use Keyboard Shortcuts

Stop clicking buttons. Learn these shortcuts and your hands never leave the keyboard:

• Ctrl+Enter (Cmd+Enter on Mac) — Add card and stay in the Add window
• Ctrl+Shift+C — Create a cloze deletion
• Ctrl+B / Ctrl+I — Bold and italic for emphasis
• F5 — Switch between note types without touching the mouse
• Ctrl+N — Jump to a different deck

The single biggest time saver is Ctrl+Enter. It lets you add a card and immediately start typing the next one without any mouse interaction.

Use Cloze Deletions Instead of Basic Cards

If you are still making front/back cards for factual content, you are doing twice the work. Cloze deletions let you write the information once and turn parts of it into questions.

Instead of creating two separate cards:

Front: What neurotransmitter is primarily associated with the reward system? Back: Dopamine

You write one cloze note:

{{c1::Dopamine}} is the neurotransmitter primarily associated with the reward system.

One sentence, one card. For dense material, you can create multiple cloze deletions in a single note, generating several cards from a single paragraph.

Build Reusable Templates

If you make cards for a specific subject repeatedly, create a custom note type with the fields you always need. Medical students might have fields for "Disease," "Pathophysiology," "Symptoms," "Treatment." Language learners might have "Word," "Definition," "Example Sentence," "Audio."

Setting up a template takes 10 minutes. It saves you hours over a semester.

Batch Your Card Creation

Do not make cards one at a time as you study. Instead, highlight or bookmark everything worth learning during your first pass through the material. Then sit down and create all the cards at once. Batching reduces context switching and lets you get into a flow state.

Level 2: Use Shared Decks and Import Tools

Making every card from scratch is noble but unnecessary. There are faster approaches.

Shared Decks

Anki has a library of shared decks at ankiweb.net. For popular subjects like medicine (AnKing), language learning, and computer science, high-quality premade decks already exist.

The tradeoff: shared decks are generic. They might not match your curriculum, your professor's emphasis, or the specific articles you are studying. They work best as a starting point that you customize.

CSV and Text Imports

If your source material is structured (a vocabulary list, a table of facts), you can format it as a CSV or tab-separated file and import it directly into Anki. This skips the Add dialog entirely.

Format your file like this:

front of card 1\tback of card 1
front of card 2\tback of card 2

Then go to File > Import in Anki. This is dramatically faster than manual entry for bulk content, but it still requires you to format the data yourself.

Anki Add-ons

The Anki add-on ecosystem has some genuinely useful tools:

• Image Occlusion Enhanced — Create cards by hiding parts of diagrams or images. Essential for anatomy, maps, and visual content.
• Batch Editing — Edit a field across multiple cards at once.
• AnkiConnect — An API that lets external tools send cards directly to Anki. This is the backbone of most modern Anki integrations.

These add-ons improve the workflow, but most still require significant manual effort. You are faster, but you are still doing the work yourself.

Level 3: AI-Powered Card Generation

This is where the real speed gains happen. Instead of reading material and manually deciding what to turn into cards, AI tools can analyze content and generate high-quality flashcards automatically.

ChatGPT and Other LLMs

You can paste text into ChatGPT and ask it to generate Anki cards. This works, but the workflow is clunky:

1. Copy text from your source
2. Switch to ChatGPT
3. Write a prompt asking for flashcards
4. Wait for the response
5. Copy the output
6. Format it for Anki import
7. Import into Anki

You have traded one kind of manual work for another. The cards might be decent, but the process still involves multiple steps, multiple apps, and a lot of copy-pasting.

Browser Extensions

The fastest workflow eliminates context switching entirely. Instead of bouncing between your source material, an AI tool, and Anki, what if you could create cards without ever leaving the page you are reading?

This is what an Anki Chrome extension approach looks like at its best: you read an article, highlight what matters, and cards appear in your Anki deck.

Klarrity: The Fastest Way to Create Anki Cards from Web Content

Klarrity is a Chrome extension built specifically for this workflow. It uses AI to turn any webpage into flashcards and sends them directly to Anki through AnkiConnect — no file downloads, no imports, no copy-pasting.

Here is what the workflow actually looks like:

1. You are reading an article, documentation page, or research paper in your browser.
2. Highlight the content you want to learn.
3. Click the Klarrity icon. The AI analyzes the text and generates flashcards.
4. Review the cards and edit anything you want to adjust.
5. Send to Anki. Cards land in your chosen deck instantly via AnkiConnect.

That is it. The entire process takes seconds per batch of cards. No switching tabs, no formatting, no manual entry.

Why This Matters for Web-Based Learning

A huge amount of modern learning happens in the browser. You are reading documentation to learn a new framework. You are going through research papers on PubMed. You are studying articles for a class. You are reading Wikipedia to fill knowledge gaps.

All of that content is already in your browser. Klarrity meets you where you are and turns reading into active recall material on the spot. You create Anki cards from any website without ever breaking your reading flow.

What You Get

• AI-generated flashcards from any highlighted text or full page
• Direct AnkiConnect integration — cards go straight to your Anki deck, no exports needed
• Multiple export options — also supports Quizlet, Notion, Obsidian, and CSV if you use other tools
• Cloze deletion support — the AI can generate cloze-style cards, not just basic Q&A
• Works on any webpage — articles, docs, PDFs rendered in the browser, lecture transcripts, anything

The extension costs $5/month or $50/year. For context, that is less than the cost of a single coffee per week, and it can save you hours of card creation time each month.

Compared to the Manual Workflow

Let's put real numbers on this. Say you are a student who creates 50 cards per week from online reading material.

That is not an exaggeration. When you remove the context switching, the typing, and the import steps, the time savings compound fast.

Best Practices for AI-Generated Cards

No matter which tool you use, AI-generated cards work best when you follow a few principles:

Always review before adding. AI is good but not perfect. Scan each card to make sure it is accurate and tests what you actually need to know. Klarrity lets you edit cards before sending them to Anki, so take advantage of that.

Prefer specific over vague. A card that asks "What is TCP?" is less useful than one asking "What does the TCP three-way handshake establish before data transfer?" If the AI generates something too broad, tighten it up.

Delete cards you do not need. More cards is not better. If the AI generates 15 cards from a paragraph and only 8 are useful, delete the other 7. Review time is precious.

Mix AI-generated with hand-made. For your most important or nuanced material, making cards manually forces you to engage deeply with the content. Use AI for breadth and manual creation for depth.

The Bottom Line

Anki is a powerful tool held back by a slow card creation process. The good news is you do not have to accept that bottleneck.

Start with the basics: keyboard shortcuts, cloze deletions, and batching. Move to imports and add-ons when you are dealing with structured data. And when you are learning from web content — which, let's be honest, is most of the time — use a tool like Klarrity to go from reading to flashcards in seconds.

The best study system is one you actually use consistently. Removing friction from card creation means you will make more cards, review more often, and learn faster. That is the whole point.