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PDF to Anki Cards: Turn Any PDF into a Deck
Copying vocabulary out of a PDF by hand is the slowest part of studying with spaced repetition. This guide shows how to upload a textbook chapter, scan, or handout to NextLang and download a ready-made Anki deck, plus how to steer the AI so the cards match what you actually need to learn.
What kinds of PDFs work
Reading a chapter twice feels productive, but the testing effect says otherwise: in Roediger and Karpicke's experiments, learners who practiced retrieving material remembered far more a week later than learners who re-read it. Turning the PDF you just read into flashcards converts passive review into retrieval practice, which is where the retention actually comes from. Source: Roediger and Karpicke (2006)
The generator does not just read the text layer. It also looks at a rendered image of every page, which is why the answer to almost every format question is yes:
Digital PDFs with a text layer
Scanned pages
Photos saved as PDF
Slides and screenshots
Two limits to know before you upload: a PDF can be at most 10 MB and 30 pages. Anything over that is rejected during validation, before a credit is spent.
PDF to Anki deck, step by step
Open the Anki generator
What to do:
- Free accounts can use Describe mode without credits; uploading files needs credits
- One credit is spent per generation, whatever the card count
- The same PDF flow works in the Quizlet, Mochi, and Brainscape generators
Switch to Upload file and drop in your PDF
What to do:
- Limits: up to 10 MB and up to 30 pages per PDF
- Password-protected PDFs are rejected before anything is charged
- You will see the file name and size in a chip once it is attached
Set languages, level, and card count
What to do:
- Source language is what appears on the Front, target language on the Back
- Pick a CEFR level from A1 to C1 so the vocabulary matches your stage
- Choose 5 to 30 cards; the free cap is 15, premium raises it to 30
- Use the prompt as extra context, for example: focus on the cooking vocabulary in chapter 3
Generate and review the cards
What to do:
- Expect cards built around useful vocabulary, not verbatim copies of sentences
- Check the preview: you can edit the deck name and the cards before exporting
- If the topic was too narrow, regenerate with a more specific prompt
Download the .apkg and open it in Anki
What to do:
- The .apkg is built in your browser and downloads instantly
- Nouns keep their articles and accents; tags become native Anki tags
- Prefer CSV? The same result can be copied as a separator-delimited list
Troubleshooting common issues
If a PDF does not turn into the deck you expected, one of these fixes usually solves it.
The file is rejected before generating
Solution: Check the limits: 10 MB and 30 pages. Split a long book into chapter PDFs or compress the scan and try again. A rejected file never costs a credit.
The PDF is password-protected
Solution: Remove the password first: open the PDF, print it to a new PDF file, and upload that copy. Protected files are rejected during validation, with no credit spent.
The cards feel generic instead of matching the document
Solution: Add a focusing prompt such as: only the legal vocabulary from the contract, or: the food terms from pages 2 to 4. The prompt steers which part of the document becomes cards.
The cards came out in the wrong language
Solution: The language dropdowns always win over the document language. Set the source language to the language you are learning and the target to the language you want translations in.
The scan is blurry and results look thin
Solution: Re-scan at a higher resolution or take the photo in better light. The AI reads a rendered image of each page, so what a human cannot read, it cannot read either.
Getting focused cards from long documents
The difference between a mediocre deck and a great one is rarely the PDF. It is how you scope the generation.
Scope the document with the prompt
Split long material by theme, not by page count
Match the level to the material
Run the same PDF in both directions
Workflows: textbooks, scans, and exam prep
The textbook chapter routine
Real-world documents
Exam prep from past papers
One PDF, several apps
Premium access includes:
FAQ
PDF to Anki: common questions
Quick answers about limits, scans, credits, and export formats.
Is turning a PDF into Anki cards free on NextLang?
File upload, including PDF, is a premium feature: you need credits, and one credit is spent per generation. Describe mode, where you type or paste your topic, works on free accounts. If a PDF is rejected during validation, no credit is spent.
How large can the PDF be?
Up to 10 MB and up to 30 pages per file. Longer material works best split into chapter-sized PDFs, which also produces more focused decks.
Do scanned PDFs and photo scans work?
Yes. The AI receives both the text layer and a rendered image of every page, so scans, photo-PDFs, and screenshots work without any separate OCR tool.
Does it copy sentences from the PDF onto cards?
No. The generator treats the document as source material and writes proper vocabulary cards from it: one term per card, translated into your target language at your chosen CEFR level.
Which platforms can I export to from a PDF?
All four generators accept PDFs: Anki exports a native .apkg or CSV, Quizlet an import-ready list, Mochi a Markdown or .mochi package, and Brainscape a CSV. The all-in-one page carries the same PDF across platforms.
What about Word documents or EPUBs?
Upload accepts PDFs and images. For other formats, use Print to PDF or Save as PDF from the app that opens them, then upload the result.
Your next chapter is already a deck
Upload a PDF and download a ready-to-study .apkg in minutes.
CSV to Anki: a free converter in your browser
Already have the vocabulary in a spreadsheet instead of a PDF? Convert the CSV straight to an .apkg deck right here. The file never leaves your browser.
Open the CSV to Anki converterKeep reading
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