Anki does not import PDFs natively, but the combination of a PDF-to-text extraction step and Anki's flexible import system makes the conversion workflow reliable once you know the path. This page covers two practical workflows: one using AI tools to generate cards from PDF text, and one using dedicated Anki add-ons that handle the extraction and generation in a more integrated way.
Open your PDF and select the text from the section you want to convert. Paste it into an AI assistant with a prompt like: 'Generate 10 question-answer flashcard pairs from this text. Format as a table with two columns: Question and Answer. Use specific factual questions with single-word or short-phrase answers where possible.' Review the output, edit cards that are vague or compound, and paste the results into a spreadsheet with question in column A and answer in column B. Save as CSV. In Anki, go to File > Import, select your CSV, map the columns to your note type fields, and import. The whole process takes about fifteen minutes for a ten-page document section once you have done it once.
Several Anki add-ons integrate with AI services to generate cards from pasted text or imported documents. The 'AnkiConnect' add-on paired with browser-based tools is the most reliable combination. Some users prefer the Obsidian-to-Anki workflow: write notes in Obsidian from your PDF content, use heading and highlight syntax to mark card-worthy content, and sync to Anki automatically via the Obsidian Anki Sync plugin. This suits learners who already take notes as they read rather than converting passively. For large document libraries (entire textbooks), PDF-to-Anki conversion scripts are available on GitHub that batch-process files, though output quality varies with document formatting complexity.
Converting PDFs to Anki decks requires a few steps but produces high-quality native decks with full spaced repetition. The AI-to-CSV workflow is the most practical for occasional conversion. The Obsidian integration suits learners who take notes as they read. Always review and edit AI-generated cards before studying them. Gridually's spatial encoding is based on memory research from the University of Chicago, University of Bonn, and Macquarie University.
Quizlet's AI import is the fastest route for simple PDFs: upload the file, let the AI generate cards, review and edit. For more control over card quality, paste sections of text into an AI tool like Claude or ChatGPT with a specific prompt to generate question-answer pairs, then import the results to your flashcard app of choice. The AI generation step is fast; the review and editing step is where you should spend most of the time.
The easiest path is to generate cards in a spreadsheet or CSV format with two columns (question, answer), then import via Anki's built-in CSV import (File > Import). Alternatively, the AnkiConnect add-on exposes an API that tools like Obsidian, Notion, and various browser extensions can push cards to directly without manual CSV handling.
They work as a first draft, not a finished product. AI tends to generate definition cards (term: definition) which are fine for vocabulary but weak for conceptual understanding or procedural knowledge. You will get better learning outcomes by reviewing generated cards and converting some of them to question-answer format, splitting compound cards, and cutting cards that cover obvious or trivial points.