r/AnkiAi

Hey Anki users,

I recently added multiple choice question generation to Recall Genie.

The idea is pretty simple: upload your notes/slides, generate MCQs, answer them, get immediate right/wrong feedback, and see explanations for why each answer choice is right or wrong.

The part I care about most is the source-linked feedback. The questions point back to the relevant section of your notes/slides, so you can quickly see where the answer came from without scrolling through a long PDF.

You can also adjust:

• number of questions
• difficulty
• question/card style

I’m pretty pro-AI for MCQs specifically because if you write the question yourself, you already know the answer. With AI-generated MCQs, you can test yourself first, then use the feedback to see what you actually need to review again.

Right now it works best for text-based notes/slides and memorization/understanding-style questions. Full diagram/image-heavy PDF support is not added yet because I want to keep quality reliable.

Try it free here: https://www.recall-genie.com/multiple-choice/

Demo video: https://www.youtube.com/watch?v=dqbHMyg2kMw

Would love feedback, especially on question quality, source-linked feedback, and explanations for wrong answers.

I recently created an extension called AnkiLens that helps you find patterns in your missed cards! The goal is to give users suggestions on what to study next and how to improve their cards. I hope this add-on helps people focus more on content and less on anki configuration :)

To install it, in Anki, go to Tools → Add-ons → Get Add-ons… and paste this code: 1135432140

Check it out on AnkiWeb here: https://ankiweb.net/shared/info/1135432140?cb=1782721670034

The code is 100% free and open source: https://github.com/arvganesh/AnkiLens

You can either bring your own OpenRouter API key or follow the steps in the app to get one subsidized by me (only for the first 25 users!!) EDIT: 12 more spots left!

The add-on was tested on Anki 26.5 on MacOS.

A few things I want to be open about:

• The code was written with AI.
• The insights within the add-on are LLM-generated, but a fair amount of engineering has gone into making them useful.
• The core functionality will always be 100% free to users if they provide an API key to pay for AI model usage. It costs ~1/100th of a cent per use :)

Like many here I got frustrated with "ChatGPT, make me flashcards" — you get 50 cards, half are vague, some are invented, and none follow good card design.

So I built anki-card-forge: you drop a PDF into a folder, write one sentence in the chat, and Claude reads the source, writes the cards following evidence-based rules (atomicity, active retrieval, no hint leaks), and then has to pass its own quality gate:

• Grounding check — every answer is verified against the source text, so hallucinated "facts" surface before you learn them
• Visual self-review — cards are rendered as PNGs (light + night mode) and inspected, incl. image-occlusion mask placement
• Real-engine validation — every deck is imported and rendered with Anki's actual backend before it's done

It also does image occlusion from figures in your PDFs, can push finished decks straight into Anki via AnkiConnect, and can restructure already-learned decks without losing scheduling (GUID-preserving rebuilds).

The GIF shows a deck built from the Wikipedia article on electric current with one prompt — the walkthrough with screenshots is in the README.

Costs & license: the tool is free and MIT-licensed. It runs on Claude Code (Anthropic's coding agent), which is a paid product — so this is for people who already have that. No extra API key, nothing leaves your machine except what Claude reads.

Disclosure per rule 6: built largely with Claude Code itself, and the card authoring is AI by design — the point of the project is forcing quality checks around it.

GitHub: https://github.com/FrostySL/anki-card-forge

Would love feedback — especially on the card-quality rules, and what checks you'd add.

Hey everyone, I built a small companion app called Tapd that lets you control Anki Desktop reviews from an Apple Watch. It is finally live on the App Store!

The idea is simple: Anki runs on your computer, the Tapd add-on runs inside Anki, and your Apple Watch sends review commands over your local Wi-Fi. The iPhone app is mainly there to help with pairing.

You can use Tapd to:

• Show answer
• Answer Again / Hard / Good / Easy
• Undo
• Bury or suspend cards
• Use different control modes, including buttons, Digital Crown, Double Tap, and gesture controls

I built this because I wanted a less keyboard-bound way to review cards, especially during longer sessions or when standing or walking around. I also didn’t want to buy a separate controller when I already had a capable device on my wrist.

New updates are coming soon too, including improved gesture controls and voice commands.

Links:

App Store: https://apps.apple.com/app/tapd/id6770032064
Anki add-on: https://ankiweb.net/shared/info/862977605
Website: https://ankiwatch.com/

Tapd is independent and not affiliated with Anki, Ankitects, AnkiMobile, or Apple.

I’d love feedback from Anki users, especially around the control modes and whether this fits into your review workflow. The app is paid to help recover development costs. I’m a student building this on the side, so please bear with me if support emails take a little while, but I’ll do my best to help. I look forward to hearing your feedback :)

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