An Anki alternative is a spaced-repetition tool that keeps Anki's review scheduling but removes the work of authoring cards by hand. Anki's algorithm is excellent and free, and no serious alternative claims to schedule better. What people usually mean when they go looking is narrower: they want the reviews without the deck-building, and they want each word to arrive attached to the sentence it came from rather than as a naked pair of strings.
What Anki gets right, and it is a lot#
Anki has been the reference implementation of spaced repetition since 2006. It ships SM-2 by default and, in recent versions, the newer FSRS scheduler, so the underlying science is current rather than frozen. It is free on desktop and Android, with a one-time paid iOS app that funds development. It has cloze deletion, image occlusion, arbitrary card templates, a scripting-grade add-on ecosystem, and an enormous library of shared decks.
If you want a card that shows a Japanese sentence on the front, hides one clause, plays audio on the reverse, and applies a leech tag after five lapses, Anki does that. Nothing else does, at any price. That flexibility is the reason a comparison article should not pretend Anki has been superseded.
The two costs that send people looking#
Card creation friction#
Every Anki card is something you decided to make. For 20 words a day, that is 20 small acts of formatting, typing, and quality control before any learning happens. In practice, this is where most language learners quit: not during reviews, but during the twenty minutes of data entry that precede them. Shared decks solve part of this, but a downloaded deck reflects someone else's word selection, not the words you personally tripped over yesterday.
The consequence is a mismatch between what you study and what you encounter. You end up reviewing a stranger's frequency list while the words that actually stopped you mid-paragraph go unrecorded because adding them cost too much friction in the moment.
Context-free word pairs#
The second cost is structural. A card that says ahorrar → to save is easy to build and hard to use. It tells you nothing about whether the word applies to money, time, or effort, what preposition follows it, or what register it belongs to. Research on vocabulary depth (Nation, 2001) treats knowing a word as knowing its collocations, constraints, and typical use, not just a gloss. Isolated pairs teach the thinnest possible version of a word.
Learners work around this by adding example sentences to their cards, which is correct and which adds still more authoring time. The workaround makes the first problem worse.
What a context-first alternative changes#
The alternative flips the order. Instead of studying first and hoping to meet the words later, you read first and the cards fall out of the reading. In LingoBlend you paste in something you want to read and set a slider for how much of it comes back in your target language, from 10 to 80 percent. Tapping any target-language word in the paginated reader shows the meaning plus the grammatical form (tense, person, base form) and saves it in one tap, with the sentence it came from still on screen.
Those saved words then run on an Anki-style schedule: learning steps at 10 minutes, 1 hour, and 8 hours, then graduation to SM-2 day-scale intervals with an ease factor between 1.3 and 2.5. Reviews happen inside five games rather than one card type, including recognition and recall flashcards, matching, fill-in-the-blank, listening, and a word quiz. Fill-in-the-blank pulls real example sentences from Tatoeba, so the word is tested in a frame rather than in isolation. If you want the mechanics of the schedule itself, we wrote them up in spaced repetition for language learning.
You can also attach an image and a personal memory hook to any word, which is dual coding in Paivio's (1971) sense: two retrieval paths instead of one.
Anki vs a context-first app, side by side#
| Anki | LingoBlend | |
|---|---|---|
| Scheduling | SM-2 and FSRS, deeply configurable | Anki-style SM-2, fixed learning steps (10 min, 1 hr, 8 hr) |
| Card creation | You author every card, or import a shared deck | Words captured from reading, share sheet, browser, or OCR |
| Context on the card | Whatever you put there | Source sentence, grammar form, base form, audio |
| Card types | Unlimited, fully templated | Five fixed game formats |
| Customization | Add-ons, CSS, scripting | None; the schedule is fixed |
| Interface | Utilitarian, steep learning curve | Phone-first, no configuration needed |
| Subject matter | Anything: medicine, law, chemistry, chess | Language vocabulary only |
| Platforms | Desktop, Android, iOS, web sync | iOS and Android |
| Cost model | Free on desktop and Android; paid iOS app | Free tier; Pro at €4.99/month or €49.99/year |
Who should stay on Anki#
Anki is the better tool, without qualification, for several groups. Medical and law students memorizing thousands of domain terms need cloze deletion, image occlusion, and shared decks built by their own cohort, and no language app will serve them. Power users who want to tune retention targets, write add-ons, or run FSRS optimization against their own review history should stay exactly where they are. Anyone studying a language outside the 17 that blended reading apps typically cover has no real choice: Anki works for Korean, Polish, Arabic, Greek, and everything else, because it does not care what is on the card.
There is also a temperament question. Some people genuinely enjoy building cards, and the act of authoring is itself an encoding event that aids memory. If deck-building feels like study rather than admin, the friction argument does not apply to you.
Bringing an existing deck across#
Leaving Anki does not mean abandoning your word list. If you already have a deck, exporting it to CSV and importing the pairs into a reading app preserves the vocabulary while resetting the schedule. LingoBlend accepts CSV, tab-separated, and semicolon-separated text lists, and detects the format automatically; the free tier allows three imports a month and Pro removes the cap. There are 800 pre-built word packs if you would rather start from a curated list. The practical steps are in importing Anki decks and word lists, and the full capture options are on the features page.
For a broader look at how classic SRS compares with the current generation of apps, see Anki vs modern SRS apps. If you are choosing a language to start with, the Spanish guide shows what a blended text looks like at different percentages.