Ask anyone who has tried to learn vocabulary with flashcards where they gave up, and you rarely hear “the algorithm was wrong.” You hear something simpler: making the cards took too long. If every word costs you two minutes of typing meanings and hunting for an example sentence, a deck of 500 words becomes a part-time job before you have reviewed a single card.
EnjoyCards was built to remove that bottleneck — and then to schedule what’s left with the same modern algorithm that serious Anki users now rely on. This article walks through what the app actually does, feature by feature, so you can decide whether it fits how you study.
1. You type a word. You get a finished card.
The core feature is AI card generation. Type a single word or phrase in any language and EnjoyCards returns a complete, structured flashcard:
- Meaning in your target language — a clean definition, not a machine-translation sentence
- Meaning in your own language — so you understand the concept, not just the label
- Pronunciation — IPA for English, pinyin 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 lives in
- Common collocations — the word pairings that actually show up in speech, like make a decision or take a risk
- A grammar tip written for learners of that language
Every field is editable, 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.
There is also a batch mode: paste a list of words, one per line, and the app generates them in the background as a job you can leave running. It shows progress, survives interruptions, and lets you cancel partway through, so a 50-word list from an article doesn’t have to be entered word by word.
2. FSRS does the scheduling — with the next interval shown up front
When you review, you grade each card on four buttons: Again, Hard, Good, Easy. Under the hood, the backend uses FSRS (Free Spaced Repetition Scheduler), the same modern algorithm that Anki adopted to replace SM-2. FSRS models three things per card:
| Property | What it means for you |
|---|---|
| Difficulty | How hard this word is for you specifically |
| Stability | How long this memory will hold before it decays |
| Retrievability | The odds you’d recall it right now |
Because FSRS works in probabilities rather than a fixed multiplier, it can schedule a review for the moment your recall probability drops to a target level — typically around 90%. Benchmarks across hundreds of millions of reviews put FSRS at roughly 20–30% fewer reviews than SM-2 for the same retention.
One detail that matters in daily use: EnjoyCards shows the next interval on each button before you press it — 10m, 2d, 15d and so on, in the compact labels Anki users already have in their muscle memory. You are never guessing what “Easy” will cost you.
3. Four ways to be tested, so you can’t fake recognition
A card that only asks “do you recognise this word?” tends to produce learners who recognise a lot and produce nothing. EnjoyCards rotates through several question types:
- Recognition — see the word, recall the meaning
- Recall — type the answer instead of flipping; active production, not passive reading
- Listening — hear the word and identify it, with audio playback and text-to-speech
- Cloze — fill in the blank inside a real sentence
New and learning cards lean on multiple-choice prompts to keep early sessions moving; once a card is in review, the app cycles the harder formats. (If an audio track fails to load, a listening card quietly falls back to recognition rather than getting stuck — small detail, but it’s the difference between a broken session and a smooth one.)
4. Offline first — and an undo button that actually works
The app is built offline-first. Your cards live in a local database, and every review is written locally first, then synced. On a plane, in the subway, or on a bad hotel Wi-Fi, reviews keep working; when you reconnect, the local queue converges with the server automatically. Each review carries an idempotent ID, so a sync that gets interrupted and retried never double-counts a card.
The detail reviewers tend to appreciate most is Undo (Ctrl/Cmd + Z). Tap a rating too fast and the change is dropped cleanly instead of leaving your stats and next-due dates permanently skewed.
5. Any language pair — in either direction
Most apps assume you are an English speaker learning one language. EnjoyCards assumes nothing about your direction. You choose the source and target for each card, and the interface itself ships in around 28 languages, with full Unicode input support for Chinese, Japanese, Korean, Vietnamese tone marks, Arabic, Cyrillic and more. A Spanish speaker studying Japanese and an Arabic speaker studying Chinese get the same experience in their own interface language.
6. Decks, templates, and a deck you can print
Around the card loop sit the tools that keep a collection usable as it grows:
- Decks — organise cards into topics, with progress and mastery counts per deck
- Sample decks and a content library — start from ready-made material instead of a blank page
- Card templates — different layouts for different kinds of study
- Edit anything — every AI field can be corrected by hand
- Print and PDF export — render a deck to a printable sheet or PDF for paper review sessions
- Progress tracking — streaks, a study calendar, badges, and mastered-vs-total counts
That last group is where a lot of flashcard tools stop. Being able to print a deck or hand it to a PDF is the feature people miss only once they’ve lost it.
7. How it compares
| EnjoyCards | Anki | Quizlet | |
|---|---|---|---|
| Scheduling | FSRS (modern, probability-based) | FSRS or SM-2 | Leitner-style |
| Card creation | AI-generated in seconds, editable | Manual or shared decks | Manual or AI assist |
| Next-interval preview on rating buttons | Yes | Yes | No |
| Offline review | Yes, offline-first | Desktop yes | Limited |
| Setup difficulty | Near zero | Steep learning curve | Easy |
| Best for | Learners who want speed and a modern UI | Power users who want total control | Class sets and shared decks |
Anki remains the most powerful and customisable option, and if you enjoy building your own scheduling tweaks and add-ons, its depth is unmatched. The trade-off is time — both to learn it and to feed it cards.
8. Where you can use it
EnjoyCards runs across phone, tablet and desktop:
- Android — Google Play, or a direct APK if the store isn’t available in your region
- iOS / iPadOS — the App Store, with progress synced through iCloud
- Windows 10 and 11 — a native desktop app for offline study with all your synced decks
- macOS — a native app for Apple Silicon and Intel, also fully offline
The free tier covers day-to-day use with a daily limit on new cards (adjustable between 1 and 100, defaulting to 10) and an AI generation quota. A Pro subscription lifts the generation cap for learners building large decks quickly.
Who it’s for — and who it isn’t
If your problem is “I keep meaning to build a vocabulary deck and never do,” the AI generation and the near-zero setup are the point of the app. If your problem is “I want to fine-tune my scheduler parameters and import a 20,000-card community deck,” Anki is still the better answer.
The honest pitch is narrow: EnjoyCards makes the boring half of spaced repetition — card creation and scheduling — disappear, so the only thing left for you to do is the ten minutes of review.
If that sounds like the part you’ve been skipping, the app is free to download.