Every flashcard collection runs into the same first problem, and it has nothing to do with memorising: somebody has to make the cards. Look up the word, copy the definition, find the pronunciation, hunt for an example sentence that does not sound like a textbook, decide what else belongs on the card. Do that for 500 words and you have spent a weekend on admin instead of study.
EnjoyCards is built around removing that step. Type a word — in any language — and an AI flashcard maker returns a finished, structured card. This article covers what that actually produces, how the batch mode works, and where it still needs you.
What one word turns into
Type a single word or phrase and EnjoyCards generates a card with the fields a good vocabulary card needs:
- Meaning in your target language — a clean definition, not a word-for-word machine translation
- Meaning in your own language — so you understand the concept, not just the label
- Pronunciation — IPA for English, pinyin with tone marks for Chinese, romaji for Japanese, and the equivalent for other scripts
- Part of speech — noun, verb, adjective, and so on
- Two to three example sentences, each with a translation, so the word arrives with the grammar it actually lives in
- Common collocations — the pairings that show up in real speech, like make a decision or take a risk
- A grammar tip written for learners of that language
For languages that are hard to parse on sight, those details are the whole point. A card for 汉字 with its pinyin and a real sentence does more work than a card that only shows the character and an English gloss.
Every field is yours to fix
Generated is not the same as finished, and the app treats it that way. Any field can be edited by hand, and any single field can be regenerated on its own — if the example sentence feels off, ask for a new one instead of rebuilding the whole card. Nothing about the card is locked.
That matters more than it sounds. The value of AI card creation is not that it is perfect; it is that it starts you at 90% instead of 0%. Correcting one field takes seconds. Writing the card from scratch took minutes.
Batch mode: a whole list at once
Single-word generation is for the words you meet one at a time. Batch mode is for the words you meet by the dozen — the vocabulary you copied out of an article, a chapter, or a set of subtitles.
Paste the list, one word per line, and the app generates the cards as a background job. You can leave it running, watch the progress, cancel partway through, and pick it up again if it is interrupted. A 50-word list from a news article does not have to be typed in word by word.
A workflow that tends to stick:
- Read something in your target language — an article, a chapter, a transcript.
- Mark the words you did not know, without stopping to look them up.
- Paste that list into the app and let the batch job run.
- Skim the finished cards and fix the handful that need it.
- Review. The FSRS scheduler decides when each word comes back.
Where it fits — and what it doesn’t do
If your problem is “I keep meaning to build a vocabulary deck and never get around to it,” the point of an AI flashcard maker is that the deck now builds itself and your job shrinks to the ten minutes of review.
It will not, however, replace your judgement. AI definitions occasionally miss a nuance, and a collocation can be technically correct but rarely used. The honest pitch is that generation removes the boring 90% and leaves you the small, high-value edit — not that you should ship cards you never read.
If making cards is the half of vocabulary study you have been skipping, you can download EnjoyCards free and build your first deck from a word list you already have. If you would rather understand the review side first, start with our guide to spaced repetition for vocabulary.