Anki is the gold standard of spaced repetition. It's free, open-source, and trusted by millions of medical students and language learners. If Anki is working for you, this page will not talk you out of it.
But Anki's greatest strength — total control — is also why most people quit it. You write every card, you format every card, and you grade your own recall four buttons at a time. For every learner who masters that workflow, many more abandon it within weeks because building the system takes longer than studying.
Quizlar keeps the science and removes the chores: the same FSRS scheduling Anki uses, but AI generates the cards from your content and AI grades your spoken answers. This page breaks down where each tool genuinely wins — including the cases where Anki is clearly the right choice.
— Sangura, founder of Quizlar. Anki’s algorithm is more proven than mine — so I built the tool that makes the cards and grades you, and leaves the science that isn’t buried under busywork.
Anki’s algorithm is more proven than anything I’ve shipped, and its shared-deck ecosystem is a decade deep — I won’t pretend otherwise. What sent me building was the tax underneath it: you write every card, and when you rate your own recall Again/Good, you’re effectively part of the algorithm too. That’s the tool’s job, quietly handed back to you.
I build Quizlar solo — I started it in December 2025, once agentic coding tools got good enough to build the learning tool I’d always wanted. My rule for it is simple: learning is a mental gym, so the app can rack the weights, but you still have to lift. Any tool that quietly hands you back its own job — making the cards, grading yourself, staring at a screen — is a tool you’ll quit. That’s the one thing Quizlar won’t do.
Choose Anki if you rely on community decks (AnKing, language decks), need offline study, use image occlusion, or want control over every card and scheduling parameter — and you're willing to pay for that control in hours.
Choose Quizlar if your bottleneck is time: you want lectures, YouTube videos, and PDFs turned into quizzes in about 30 seconds, and you want to study by voice while commuting or exercising instead of at a desk.
| Feature | Anki | Quizlar |
|---|---|---|
| Card creation | Manual — you write every card (or use shared decks) | AI-generated from YouTube, PDF, or text in ~30 seconds |
| Answer input | Mental recall, then tap a self-grade button | Speak your answer aloud (typing fallback available) |
| Scheduling algorithm | FSRS (built in since 2023, optional per preset) or SM-2 | FSRS, on by default for every deck |
| Grading | Self-graded: Again / Hard / Good / Easy | AI-graded against the reference answer, with explanations |
| Content sources | Manual entry, .apkg imports, shared decks | YouTube URLs, PDFs, uploaded files, pasted text, web pages |
| Hands-free study | No — screen and buttons required | Yes — fully voice-driven |
| Community decks | Thousands of shared decks (AnKing, Zanki, language decks) | None — decks come from your own content |
| Offline support | Full offline on desktop and AnkiDroid | Requires internet |
| Image occlusion | Yes — a core strength for anatomy and diagrams | No |
| Data export | Excellent — free .apkg and CSV export of everything | Limited — Quizlar is built for generating from source content |
| Languages | Any language you type in | 60+ languages for generation, voice, and grading |
| Price (as of July 2026) | Free on desktop, web, and Android; AnkiMobile for iOS is $24.99 one-time | Free trial tier; paid plans from $19.99/mo |
Abstract feature lists hide the real difference, so walk through one concrete unit of studying: a one-hour recorded lecture you need to retain.
In Anki: you watch the lecture, decide what's testable, and write cards — typically 30 to 90 minutes of work for an hour of content, depending on how many cloze deletions and images you make. The cards are exactly as good as your judgment that day. Then you review at a desk or on your phone, tapping Again/Hard/Good/Easy on each card. Total time before your first review: roughly two hours from pressing play.
In Quizlar: you paste the lecture's YouTube URL (or upload the PDF handout). About 30 seconds later there's a deck of recall questions. You put in earbuds and take the quiz out loud on your commute; the AI grades each spoken answer and tells you what you missed. Total time before your first review: the length of the lecture plus a minute.
The honest caveat: writing cards yourself is not pure waste. The act of deciding what matters and phrasing it is itself encoding — some Anki veterans learn substantially during card creation. If that step works for you and you have the hours, Anki's manual pass has real value. Quizlar's bet is that most people don't have the hours, and cards that exist beat perfect cards that never got made.
This is the deepest difference between the tools, and it gets less attention than card creation.
FSRS is only as good as the grades you feed it. In Anki, every review ends with you judging your own recall: Again, Hard, Good, or Easy. Decades of metacognition research show people are systematically bad at this — we overrate half-remembered answers, a bias Bjork and Bjork call the "illusion of competence." Tap Good on a card you actually half-knew and FSRS dutifully schedules it too far out. The gap surfaces on exam day, when there are no buttons.
Quizlar closes that loop differently: you say your answer out loud, and AI grades what you actually said — meaning and completeness, not keywords. Paraphrase and you get credit; use the wrong term for the right concept and it catches the distinction and explains it. You can't quietly promote yourself to Good. Speaking the answer is also a stronger retrieval act than silently thinking it: production forces you to commit to an answer before seeing the back of the card.
The trade-off, stated plainly: AI grading is very good but not infallible, and it requires a connection. Anki's self-grading is instant, offline, and free — it just depends on a judge with a documented conflict of interest.
"Anki is free" is true for the software and false for the workflow. Here's the honest six-month arithmetic (prices as of July 2026):
| Anki | Quizlar (Pro Study) | |
|---|---|---|
| Software, 6 months | $0 desktop/Android; $24.99 one-time if you want the iPhone app | $19.99/mo × 6 = $119.94 |
| Card creation for ~100 hours of lectures | Roughly 50–150 hours of your time | Minutes total (AI-generated) |
| Where reviews happen | At a screen | Anywhere you can talk — commute, gym, kitchen |
If your prep is built on a pre-made community deck like AnKing, the card-creation hours drop to near zero and Anki genuinely is the cheapest serious option in existence. If you're making your own cards from your own lectures, you're trading roughly a hundred hours to save roughly a hundred dollars. Which side of that trade is right depends entirely on what your hours are worth during exam season.
Quizlar does not import .apkg files or Anki CSV exports. If you have years of curated Anki decks, they cannot be moved into Quizlar — and this page isn't going to pretend otherwise.
Two things follow from that. First, credit where due: Anki has the best data portability in this category. It exports complete deck packages with media and scheduling history, free, no paywall. Whatever you build in Anki stays yours.
Second, Quizlar isn't a place to relocate old decks — it's built for the incoming flow of new material. The pattern that actually works for switchers is a split: keep Anki for the curated decks you've already built, and point new lectures, videos, and PDFs at Quizlar so they never join the card-making backlog. Anki reviews happen at your desk; Quizlar sessions happen hands-free in the gaps of your day. The tools don't even compete for the same hours.
Most serious learners who adopt Quizlar don't uninstall Anki. The stable arrangement: Anki holds your curated long-term decks and community decks; Quizlar catches everything new and quizzes you on it hands-free. Combined, they cover more of your day without adding screen time — and both run the same retention science underneath.
The fastest way to know if the split works for you: paste your most recent lecture into Quizlar's free tier and take one voice quiz. You'll know in five minutes.
Neither wins outright. Anki wins on community decks (especially AnKing for med school), offline use, image occlusion, and total control. Quizlar wins on time-to-study — AI makes the cards from YouTube/PDFs in about 30 seconds — and on hands-free voice study with AI grading. Many learners run both.
No. Quizlar doesn't import .apkg or Anki CSV files — it generates quizzes from source content (YouTube, PDFs, notes) instead. The workable pattern is a split: keep Anki for existing decks, use Quizlar for new material.
Yes — both use FSRS. Anki added FSRS in 2023 as an option you enable per preset; Quizlar runs FSRS by default on every deck with no configuration.
Anki desktop (Windows/Mac/Linux), AnkiWeb sync, and AnkiDroid on Android are free and open source. AnkiMobile on iOS is $24.99 one-time (as of July 2026) — the purchase funds Anki's development. The bigger cost is time: making your own cards for an hour of lecture typically takes 30–90 minutes.
Yes — a 2023 cohort study in Cureus found medical students who used Anki scored roughly 6–13% higher on standardized exams. That's evidence for spaced repetition and active recall generally, which is exactly why Quizlar uses the same FSRS algorithm rather than a different science.
Community decks. AnKing and similar shared decks encode thousands of hours of curation mapped to board exams — no other tool has an equivalent. Quizlar fits med students best for their own lecture content, alongside (not instead of) those decks.