NeverCram vs Anki: AI flashcards vs classic SRS

If you're deciding between NeverCram and Anki in 2026, the short answer is this: both tools run FSRS-6. The algorithm is a tie. NeverCram vs Anki is not a scheduling comparison — it is a comparison about how cards get into the system and what the study session looks like once they're there. That is where the products diverge.

If both tools run FSRS-6, what actually differs?

FSRS-6 shipped in Anki in late 2025, trained on roughly 700 million reviews contributed by 20,000 volunteer users (fsrs4anki wiki, checked 2026-04-18). NeverCram runs the same FSRS-6 algorithm. If you pick either product, the forgetting-curve math underneath is equivalent.

Here is the contrarian read: the algorithm was never the bottleneck for most learners. It mattered when the category was SM-2 vs FSRS. With both tools on FSRS-6, the scheduling debate is done — and the real product decision falls to two things the algorithm doesn't touch.

The first is authoring. Anki expects you to write cards or download a shared deck. There is no native AI generation; community add-ons exist but live outside the product. NeverCram ships AI card generation from PDFs, notes, YouTube, and URLs as a first-class feature. For a student starting a new subject on a Monday, that is the difference between five minutes of curation and two hours of typing.

The second is session design. Anki's surface is a review queue — one card after another until the deck is clear. NeverCram's surface is a review queue plus adaptive modules that explain a concept, quiz you on it, and follow up on what you miss. For cards you already know, the two experiences converge. For material you are learning for the first time, modules do the understanding step before flashcards do the memorisation step.

Why modules beat flashcards for first exposure

NeverCram's card generation takes a PDF, a lecture transcript, or a YouTube link and returns a first-draft deck in about 30 seconds. Roughly 1 in 5 generated cards get edited or deleted in review before study — but the marginal cost of starting a new subject drops from two hours of typing to five minutes of curation.

The founder opinion: modules beat flashcards for first exposure to new material. A flashcard assumes you already understand the thing and only need to remember it. A module — explain, quiz, follow up on what you missed — does the understanding step first, then feeds the flashcards in. For students who are learning something, not just memorising a list, that ordering matters.

This is why the AI-plus-modules combination is the product thesis, not a tacked-on feature. Anki's flashcard-only surface is optimal for material you already understand and only need to drill. For material you are meeting for the first time, running the explanation step and the memorisation step as one connected flow produces retention the drill-only version cannot match.

Can you import your Anki decks into NeverCram?

Yes, via .apkg export from Anki desktop with scheduling information included. Upload to NeverCram, confirm field mappings for custom note types, and your cards plus review history come across intact.

Two caveats. First, image occlusion cards migrate as regular two-sided cards — we do not yet render the same occlusion overlays, so if your workflow depends on Image Occlusion Enhanced specifically, Anki remains the better tool. Second, cloze syntax is preserved but cards depending on custom CSS or JavaScript in card templates render with the NeverCram default theme.

If you maintain a large AnKing-derived deck, the migration path is: keep Anki for that specific deck, use NeverCram for net-new subjects, let both coexist. No lock-in either way.

Is Anki really free? What about iOS?

Anki is free on macOS, Windows, Linux, and Android. AnkiWeb sync is free. AnkiMobile on iOS is a one-time $29.99 purchase — some older sources say $24.99; the 2026 price confirmed in recent roundups is $29.99 (MintDeck 2026, checked 2026-04-18).

NeverCram is free on web, iOS, and Android up to 10 decks and community AI usage. Pro is $9/month or $79/year for unlimited AI generation and deck count.

For a casual learner on one device the costs are comparable. For a student running three platforms with daily AI generation, NeverCram's Pro tier tends to come out ahead of paying for AnkiMobile once plus using community AI add-ons.

Is Anki's learning curve a bug — or the product?

Anki's onboarding is legendary. The out-of-box experience is a minimal UI, a 40-minute walk through the manual before settings become sensible, and a community that answers "why is my review count so high" with a 2,000-word forum post about retention targets. Power users love this. Most students bounce.

Here is the contrarian read: the onboarding difficulty is not a bug — it is a selection filter. Anki self-selects for the learner willing to invest hours in configuration before studying. That learner exists and Anki serves them well. But the learner who just got a 400-page syllabus and needs to start studying tonight is not in that cohort, and designing for them is a different product.

NeverCram's onboarding puts your first deck in front of you in under five minutes. You upload a PDF or paste notes, the cards generate, you start reviewing. The price you pay for that gentler curve is less control — you cannot tune the FSRS weights from a settings panel the way Anki power users do. That trade is intentional. If you already know you want to tune FSRS weights, NeverCram is not the tool for you. If you did not know FSRS weights were a thing you could tune, the default is already better than what you would configure.

If you have already invested the time to learn Anki's interface and you run your own FSRS optimiser, switching makes no sense. If you're starting fresh in 2026, the time you save on setup is study time you spend instead.

Which tool wins for medical school?

Neither, exactly. Med school is the workload where Anki's ecosystem genuinely matters: the AnKing deck, the 20k-card Step 1 decks, the community of users comparing retention spreadsheets on Reddit. That institutional knowledge cannot be replicated by a newer tool.

Where NeverCram fits in a med student's workflow is for net-new material that does not have a pre-made deck — a specific lecture on an obscure pathway, a faculty handout, a paper you are citing. Generate cards from the PDF, study them, let Anki keep handling the core curriculum. The two are complementary more than competitive at the high end of the memorisation workload.

For pre-med, language learning, or self-taught subjects with no established shared deck, NeverCram's AI generation advantage compounds faster.

So which should you actually pick?

If your study time is limited, if you learn from PDFs and lectures, and if you want the tool to produce the first draft of your cards from your own material, NeverCram is built for that workflow. If you already know how to drive Anki, if you rely on specific add-ons, or if you depend on a community deck that took years to build, stay on Anki. The migration door swings both ways — nothing you do in either tool locks you in. Start with whichever matches how you study in April 2026, not which one wins on paper.

Related: NeverCram vs Quizlet covers the AI-vs-social-learning trade-off. NeverCram vs RemNote covers the notes-first vs study-first split.