ChatGPT for Anki: Create and Check Useful Flashcards

ChatGPT can draft Anki flashcards from text you paste in, saving the time it takes to write each question and answer from scratch. The workflow requires one extra step: you verify each card against the source before importing it. A card that looks right but contains a subtle error will teach you the wrong answer for weeks.

The format matters too. Anki imports from a plain-text file with specific delimiters, and ChatGPT can produce that file if you tell it how. Tools like fenbs keep your card-writing prompts and source links in one place so each study session starts from a tested, reusable setup rather than a blank message.

What ChatGPT does in this workflow

ChatGPT reads text you provide — a textbook excerpt, a set of lecture notes, a documentation page — and turns it into question-and-answer pairs. It does not look up material on its own for this purpose. You supply the source; it formats the output.

This is the crucial constraint: the quality of the cards depends on the quality of the source text. Paste in accurate, well-structured material and the cards will reflect it. Paste in a rough summary from memory and the errors will compound.

A prompt for generating Anki cards

The prompt below asks ChatGPT to produce cards in the format Anki's tab-delimited import expects: one line per card, question and answer separated by a tab. You can also ask for a semicolon or comma delimiter if that matches your import settings.

Create Anki flashcards from the text below.

Rules:
- One card per line, in the format: Question[TAB]Answer
- Keep each answer to one to two sentences
- Use only information in the source text, nothing extra
- Do not generate cards for headings or definitions you cannot verify in the text

Source:
[PASTE YOUR TEXT]

After ChatGPT responds, copy the output into a plain-text file with a .txt extension. In Anki, use File > Import, select the file, choose the correct delimiter, and map the fields. Review the import preview before confirming.

Checking cards before they reach your deck

Read every card against the source before you import. Look for three kinds of error: a fact stated slightly differently from the source, an answer that is true in general but not accurate for your specific material, and a question that is ambiguous enough to have two valid answers.

Edit the text file directly before importing. It is faster to fix ten cards in a text editor than to edit them one by one inside Anki. Mark any card you are uncertain about and check it against the primary source — the textbook, the lecture slide, the official documentation — before adding it to your deck.

Cards for different subjects need different prompts

A medical anatomy deck has different needs from a vocabulary deck or a history timeline. For anatomy, you might want image-style prompts where the question names a structure and the answer gives the function. For vocabulary, you might want the target language on one side and the English translation on the other.

Keep a separate prompt for each subject type. Test each one on a small batch first. If the cards come back too vague or too detailed, adjust the instructions and rerun before committing to a larger import.

After the import: using study results to improve cards

Anki tracks which cards you answer correctly and which you keep getting wrong. When a card repeatedly fails, the problem is often in the wording: an ambiguous question, an answer with too many parts, or a concept that needs to be split into two simpler cards.

Take five minutes after a study session to note the cards that confused you. Bring that list back to ChatGPT and ask it to rewrite them following the same rules. Replace the weak cards in your deck.

Keeping a consistent card format across decks

If you use Anki for several subjects, a consistent card format makes the decks easier to maintain. Decide once how you want each subject formatted — which side holds the question, how long answers should be, whether to include a context tag — and write that format into your prompt. Consistent cards are also easier to review in bulk, since you know what to expect on each side.

How to do this with fenbs

1. Create a free account. Add a project for the subject you are studying.
2. Add your source materials to Links and listings: the textbook URL, the documentation page or the course notes location.
3. Open Skills and prompts and save your card-generation prompt for this subject. Add a version for each card format you use.
4. Connect a supported AI app from Integrations. Before a card-writing session, ask it to read your source links and prompt from fenbs.
5. After each study session, note any cards that failed in the project tasks. Ask ChatGPT to rewrite them using the same prompt and replace them in your deck.

When to write Anki cards yourself instead

For material where understanding the concept matters as much as remembering the fact, writing the card yourself is faster and more reliable. The act of writing a question forces you to identify what matters. Use ChatGPT for high-volume decks — vocabulary lists, anatomy terms, code syntax — where writing each card manually does not add understanding.

Writing cards from memory also tests whether you understood the material before you try to memorize it. If you cannot phrase the question, you may not yet understand the concept well enough to study it. That is useful information. Use ChatGPT where the material is clear and the volume is high; write the cards yourself where the material is new or complex.