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Anki Decks

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Anki Decks is an AI flashcard generator that turns files, notes, YouTube videos and topic prompts into study decks, with in-browser spaced repetition and Anki .apkg export.

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What Anki Decks is

Anki Decks is an AI flashcard generator that turns source material into study decks. The site supports files, notes, YouTube URLs, and simple topic prompts, then produces flashcards that can be studied online or exported as Anki .apkg files.

The product is positioned for students and exam preparation, with examples across med school, languages, and other subject areas. Its workflow centers on uploading material, letting AI extract key concepts, and then reviewing the result in a browser or in Anki desktop.

Core capabilities

Multiple input types

Create flashcards from PDFs, PowerPoint, Word, Excel, EPUB files, images, handwritten notes, YouTube URLs, or a plain topic prompt.

Several flashcard formats

Generate Question-Answer, Cloze, and Multiple Choice cards from source material, depending on the study format you want.

Built-in study and Anki export

Study decks directly in the browser with spaced repetition and the site’s FSRS study mode, or send them to Anki desktop.

Image occlusion support

Turn diagrams, maps, charts, and handwritten notes into image occlusion cards by hiding labels automatically.

Multilingual generation

Generate and study decks in 50+ languages, including the option to upload in one language and receive cards in another.

Deck sharing controls

Share decks with a link and let other people clone, study, or export them, with public, private, or link-only visibility options.

Common ways to use it

  • Convert coursework into flashcards

    Upload lecture slides, textbook chapters, or notes and let the system turn them into review cards for a class or exam block.

  • Study from video lessons

    Paste a YouTube lecture or tutorial URL, then generate cards from the transcription and review them later in the browser.

  • Practice visual recall

    Create cards for anatomy diagrams, maps, or other labeled visuals using image occlusion so you can test recognition instead of reading labels.

  • Language study

    Build a deck in one language and study in another when learning vocabulary or grammar.

  • Collaborative study groups

    Share a finished deck with classmates or a tutor, then let them clone it, study it, or export it to their own Anki setup.

Pros and Cons

Pros

  • Supports a broad range of input types, including documents, YouTube, images, and handwritten notes.
  • Offers both in-browser study and export to Anki desktop.
  • Includes multiple flashcard formats, including cloze, multiple choice, and image occlusion.
  • Supports 50+ languages.
  • Allows deck sharing with link-based access and export options.

Cons

  • The pricing page and dedicated FAQ page returned errors in the collected sources, so plan details are not visible here.
  • The source does not show a native mobile app listing; it describes the product as a progressive web app instead.

FAQ

What does Anki Decks do?

Anki Decks generates flashcards from uploaded files or pasted text, then lets you study them online or export them to Anki.

What can I create flashcards from?

The source lists PDF, PowerPoint, Word, Excel, EPUB, images, handwritten notes, YouTube URLs, and plain topics as supported inputs.

Can I study on the platform without Anki desktop?

Yes. The site says you can study in the browser with spaced repetition and an FSRS study mode.

Can I export my decks to Anki?

Yes. The site says you can export decks as a one-click .apkg file for Anki desktop and use Anki on Android and iOS.

Are uploaded files kept private?

The site says uploaded files are processed securely, are not shared with other users, and are not used to train AI models.

Quick Facts

Category
AI flashcard generator
Platform
Web app / progressive web app
Primary outputs
Study decks and Anki .apkg export
Source domain
anki-decks.com
Typical users
Students preparing for exams, including med students and language learners
Study mode
Browser study with spaced repetition and FSRS