Before comparing apps: the spaced repetition question
Not all flashcard apps are equal -- and the most important difference is not interface, pricing, or content library. It is the presence or absence of a rigorous spaced repetition algorithm (SRS).
An app that shows cards randomly or only on demand still helps you review -- but it does not maximise retention. An app with a rigorous SRS computes the optimal review moment for each card, right before forgetting occurs. Over several months, the retention difference between the two approaches is substantial.
How to identify whether an app has a real SRS? Ask yourself: does the app decide by itself when to show each card? Do cards I already know well appear less frequently over time? Do review intervals lengthen progressively? If all three answers are yes, the app has an SRS. If you can access any card at any time without the system adapting intervals based on your performance, it does not.
The illusion of competence is the main trap of revision without SRS. You can spend hours flipping through cards, feel confident during the session -- and have forgotten most of it two weeks later. This disconnect between perceived and actual learning has been documented consistently in metacognition research: learners without retrieval practice systematically overestimate their retention. SRS is precisely designed to prevent this, by forcing spaced retrieval at the right moment according to the forgetting curve dynamics -- converting the feeling of learning into genuine long-term memory.
Meta-analyses covering dozens of studies confirm that spaced practice (reviews distributed over time) produces significantly better retention than massed practice (cramming) -- often a 10 to 30% gain on long-term tests. This effect -- called the spacing effect -- is one of the most replicated findings in cognitive psychology. Apps with rigorous SRS exploit this mechanism automatically.
Cepeda et al. (2006). Distributed Practice in Verbal Recall Tasks. Psychological Bulletin, 132(3), 354-380.The 5 apps reviewed
Memia -- retention without setup friction
Memia is built around a single principle: making the most evidence-based learning workflow immediately accessible. The FSRS algorithm -- the current benchmark for spaced repetition precision -- is active by default with no configuration. AI card generation lets you build decks quickly from your notes, a topic, or a document. The progress dashboard gives clear retention visibility by subject.
A typical Memia scenario: you have a chapter to memorise over the next 6 weeks. You describe the topic to Memia, validate the generated cards in 10 minutes, and start reviewing that same day. The app decides when to show each card. You manage nothing except answering cards and rating your confidence. Six weeks later, your retention is measurably higher than it would have been with passive rereading or unspaced revision -- and you spent a fraction of the total study time.
Strengths: native FSRS with no configuration, AI card generation, modern and intuitive interface, native iOS and Android apps, operational in under 2 minutes, progress dashboard showing mastery by topic. Weaknesses: community deck library still growing (no large shared medical decks yet), advanced card template customisation less deep than Anki.
Best for: beginners, professionals, language learners, certification preparation, and anyone seeking long-term retention without spending time configuring a tool.
Anki -- the power user benchmark
Anki is the undisputed reference for advanced users. Open source and free on desktop and Android, its robustness is proven by twenty years of intensive use in academic communities worldwide. Its shared deck ecosystem -- particularly medical -- is its major differentiating asset. FSRS is now available in Anki but must be activated and configured manually in each deck's options.
A typical satisfied Anki scenario: you are in second-year medicine and have inherited an 18,000-card ECNi deck built by previous cohorts. You add your own cards with HTML templates that include anatomical diagrams and formulas. You sync via AnkiWeb across your laptop and Android phone. It is a tool that serves you across a 7-year curriculum -- and beyond. The community investment is irreplaceable.
Strengths: maximum power and customisation (HTML/CSS templates, images, audio, video), unmatched medical community deck ecosystem (AnkiHub, Anking, Pepper), free on most platforms, open source and long-term sustainable. Weaknesses: dated and unintuitive interface, steep learning curve, paid iOS app (~€25), laborious initial setup, deck maintenance can be time-consuming.
Best for: medicine and pharmacy students, power users who want full control, Android users seeking a fully free long-term setup.
Quizlet -- accessibility before retention
Quizlet excels at accessibility and gamification. Its varied modes (Match, Gravity, automatic tests) make revision more engaging for school audiences. Its content library is immense, covering every level from high school to professional certifications. Its main limitation is structural: no rigorous SRS. Quizlet is optimised for short-term revision, not for retention over several months.
A typical Quizlet scenario: you have a vocabulary test in 3 days. You find an existing set on Quizlet, activate Learn mode, and review for two evenings. The test goes well. But without SRS, those words will likely no longer be available in memory a month later. Quizlet is excellent for this precise use case -- and limited for everything else. Many students use Quizlet successfully for years without realising they are rebuilding the same knowledge from scratch before every exam.
Strengths: very accessible, playful gamified modes, vast community content, excellent for school contexts and classroom collaboration. Weaknesses: no rigorous spaced repetition, more restrictive free tier since 2023 (ads, feature limitations), poorly suited to long-term learning.
Best for: secondary school students, short-term cramming before exams, classroom collaboration, rapid access to existing community content.
Brainscape -- the confidence-based system
Brainscape uses a 5-level confidence rating to adapt review frequency. Rather than modelling your memory mathematically (like FSRS or SM-2), Brainscape asks you to subjectively rate your confidence from 1 to 5 on each card, and adjusts frequency accordingly. This is a compromise between pure SRS and manual review.
The app has certified decks for specific subjects (GMAT, MCAT, US law, IT certifications). If you are preparing for one of these specific exams, Brainscape's certified decks can be a serious starting point -- the content has been reviewed and structured by subject matter experts rather than crowdsourced from students. Outside these precise cases, the advantage over Memia or Anki is less clear.
Strengths: clean and pleasant interface, certified decks for US certifications, subjective approach that fits some learner profiles. Weaknesses: less precise scheduling than FSRS/SM-2 (subjective confidence is an imperfect proxy for actual retention), less flexibility for creating your own content from scratch, higher premium pricing relative to competitors.
Best for: preparation for specific US certifications (GMAT, MCAT) where certified Brainscape decks are available.
RemNote -- note-taking and flashcards combined
RemNote is a note-taking tool with integrated flashcard creation directly in the workflow. The proposition is compelling: you take notes in class or while reading, mark key elements with a special syntax, and those elements automatically become SRS-reviewed flashcards. For learners who actively build their knowledge base through writing, this integration is genuinely interesting.
In practice, RemNote requires an upfront investment to master the syntax and organise your workspace. Once that system is in place, it can become very effective -- but the path to get there is longer than with Memia or even Anki. The app is also less optimised for pure review: if you import existing content rather than building notes from scratch, the integration advantage largely disappears. Users who already have a note-taking system elsewhere will find the migration disruptive.
Strengths: native notes-plus-flashcards integration, functional SRS, well-suited to learners who build a second brain through writing. Weaknesses: noticeable learning curve, can become complex to organise over time, less efficient than Memia or Anki for pure review of pre-existing content.
Best for: students and researchers building a note-taking system from scratch who want spaced repetition integrated from day one.
Quick comparison table
This table summarises the key criteria for a fast first-pass decision. Use it as a starting point -- read the full app reviews above for your profile before committing. No single tool dominates every dimension; the right choice depends on which criteria matter most for your learning objective.
- Rigorous SRS algorithm -- Memia: Native FSRS | Anki: SM-2/FSRS (config required) | Quizlet: No | Brainscape: Partial (confidence) | RemNote: Yes
- Ease of onboarding -- Memia: Very easy | Anki: Complex | Quizlet: Very easy | Brainscape: Easy | RemNote: Moderate
- AI card generation -- Memia: Yes (native) | Anki: Third-party plugins | Quizlet: Yes (paid) | Brainscape: No | RemNote: Partial
- Community content -- Memia: Growing | Anki: Very large (medical++) | Quizlet: Massive (school++) | Brainscape: Certified (limited) | RemNote: Limited
- Mobile -- Memia: iOS + Android (native) | Anki: Android free / iOS ~€25 | Quizlet: iOS + Android | Brainscape: iOS + Android | RemNote: iOS + Android
- Entry pricing -- Memia: Freemium | Anki: Free (iOS ~€25) | Quizlet: Restrictive freemium | Brainscape: Freemium | RemNote: Freemium
- Long-term retention -- Memia: Excellent | Anki: Excellent | Quizlet: Limited | Brainscape: Good | RemNote: Good
- Best use case -- Memia: Long-term retention, all profiles | Anki: Power users, medicine | Quizlet: Short-term school revision | Brainscape: US certifications | RemNote: Integrated note-taking
3 pitfalls to avoid when choosing a flashcard app
Most poor flashcard app choices come from three recurring mistakes. Identifying them can save you weeks of wasted effort.
Pitfall 1: choosing by popularity
Quizlet is the most widely used educational app in the world -- but its popularity comes from its accessibility for short-term school revision, not from its effectiveness for long-term retention. Using Quizlet to memorise 2,000 vocabulary words over 6 months because 'everyone uses it' is a diagnostic error.
Popularity reflects adoption, not pedagogical effectiveness. Look for the number of studies documenting the effectiveness of the underlying method -- not the number of users the app has. A large user base built on short-term school revision says nothing about multi-month retention performance. The most popular flashcard app and the most effective one for durable learning are not the same product.
Pitfall 2: choosing by interface
Many users abandon Anki because the interface is dated, and switch to a visually polished app without rigorous SRS. Interface matters for motivation -- but if the underlying algorithm does not maximise retention, a beautiful interface will not help you remember.
The right decision order: find the right algorithm first, then the interface that suits you. A pleasant interface on top of a poor algorithm will give you enjoyable study sessions that produce no durable memorisation. The feeling of a good session and the reality of long-term retention are independent.
Pitfall 3: choosing by price
Anki's free desktop tier attracts many users who do not need its complexity. Conversely, some users avoid paid tools on principle, even though a monthly subscription cost is negligible compared to the time invested in learning.
A subscription at 5-8 euros per month for an app that lets you learn 30% more efficiently represents exceptional return on investment if you use it seriously. Evaluate the value-to-friction ratio, not the price tag alone. The cost of the wrong tool is measured in time, repeated failed exams, and content you thought you had learned but did not retain -- not in euros.
Studies on metacognition show that learners who passively reread or use tools without SRS systematically overestimate their actual retention level on subsequent tests. The feeling during a revision session ('I know this well') is a very poor predictor of actual retention two weeks later. Only a cold test -- without looking at the cards beforehand -- reveals what has genuinely been memorised.
Karpicke & Roediger (2008). The Critical Importance of Retrieval for Learning. Science, 319(5865), 966-968.How to test an app before committing
No comparison replaces direct experience. Here is a 3-step method for objectively testing a flashcard app before investing months of revision in it.
Step 1: test with real content
Choose a real topic you are currently learning -- not test content or fictional data. Create or import 50 to 100 cards on that topic in the app you are evaluating. The card creation experience is already an important signal: is it fluid? How long does it take? Does the app help you write good cards (one concept per card, clear question, unambiguous answer), or does it just accept whatever you type? Any tool that makes card creation painful will see its deck library stay empty.
Also test the review interface on day one: is it intuitive? Does it make you want to come back tomorrow? An app whose review interface discourages you after 5 minutes will not be used consistently -- and consistency is precisely what activates SRS. First-session friction is a reliable predictor of long-term dropout.
Steps 2 and 3: 14 days, then a cold test
Use the app every day for 14 consecutive days. This is the minimum duration for SRS to have a measurable effect and for you to experience the review cycle on content you have already seen once or twice. A single session tells you nothing meaningful about the algorithm.
On day 14, test your retention cold. Without looking at the cards beforehand, try to recall or write the answers to the 20 cards you mastered least well. Compare with what you knew before. This measurement -- not how sessions felt -- is what actually matters. A score above 60% on cards you only saw once or twice suggests the SRS is working. If after 14 days the experience is smooth and retention measurable, continue. If not, test the next app with the same protocol.
Avoid testing multiple apps in parallel on the same topic -- review intervals overlap and measurement becomes impossible. Test one app at a time, on a distinct subject for each test. This process takes 14 days per app, but saves you from spending 6 months in the wrong tool.
Our recommendation by profile
The right tool depends on your profile as much as on your content. These recommendations prioritise retention outcome and setup friction, not marketing positioning. Here are direct recommendations for six concrete scenarios.
You are new to flashcards
Memia. Operational immediately, built-in FSRS with no configuration, modern interface. You can start learning in 2 minutes without setting anything up -- and without the risk of spending an hour on configuration before reviewing a single card.
You are in medicine or pharmacy
Anki for community decks (ECNi, USMLE, Hippocrate), Memia for personal cards created from your own course notes. Both coexist without issue -- separate them clearly by content source, and avoid reviewing the same topic in both tools simultaneously to prevent interval conflicts.
You are learning a foreign language
Memia. AI generation lets you quickly create vocabulary cards with contextual example sentences, and the FSRS algorithm is particularly effective for large vocabulary workloads over the long term. For Asian languages (Japanese, Chinese), Anki's JLPT and HSK decks remain very comprehensive if you want to start from a proven community base.
You have an exam in 5 days
Quizlet for speed of access to existing community content. But keep in mind that without SRS, retention will fade quickly after the exam. For genuine durable memorisation, start 3 to 4 weeks before with Memia -- the SRS needs time to build the review schedule.
You are a power user who wants full control
Anki. Maximum customisation, open source, active community, plugins to extend functionality in every direction. Plan 2 to 3 hours of initial configuration -- and enable FSRS manually in deck options to benefit from the best available algorithm.
You are learning in a professional context (certification, training)
Memia. AI generation from training materials is a significant time saver: upload a policy document, a product brief, or a standards guide and get reviewable cards in minutes. The frictionless interface fits well into 10 to 15-minute learning windows between meetings -- and the progress dashboard gives clear visibility into what is mastered before an assessment or audit.
Frequently asked questions
Can I use multiple apps in parallel?
Yes, but with strict separation. Managing two spaced repetition systems on the same content creates interval conflicts and makes measurement impossible. If you use two apps, separate them clearly by topic or content source: for example Anki for shared medical decks and Memia for your own course cards. Never review the same material in both tools simultaneously.
Does the app matter, or does method matter more?
Both matter, but method comes first. Poorly written flashcards in the world's best app will give poor results. Conversely, well-built cards with honest active recall will work in a simpler tool. The app's job is to reduce friction and enforce a rigorous SRS schedule -- those are the only two things that truly matter in the software layer.
Are free apps truly effective?
Yes -- Anki (desktop and Android) and Memia's free tier both offer rigorous spaced repetition at no cost. Differences between free and premium tiers are generally about advanced features (unlimited AI generation, detailed analytics, shared decks) -- not the baseline scheduler quality. The algorithm is the same regardless of plan.
How many cards should I review per day?
Between 20 and 100 cards per day depending on your availability and how far into the deck you are. Below 20, the SRS queue accumulates overdue cards quickly and catch-up becomes stressful. Above 100, sessions get long and attention quality drops -- at which point you are reviewing rather than consolidating. Daily consistency matters more than volume: 30 cards a day every day outperforms 200 cards on the weekend. The SRS algorithm is optimised for daily use.
Which app is best for a competitive exam or certification?
It depends on available content. If certified or community decks exist for your specific exam (Anki for medical exams, Brainscape for GMAT/MCAT), start from those resources. If you need to build your own content, Memia is more efficient: AI generation reduces creation time, and FSRS optimises retention across the full preparation period.
Is switching apps mid-preparation risky?
Yes, if you have accumulated months of SRS data in a tool. Review intervals and history do not transfer between tools in any standardised way. Migration means resetting intervals to zero for imported cards, which costs you the accumulated scheduling benefit. If you are 6 weeks from an exam, stay with your current tool regardless of its shortcomings. If you are at the beginning of preparation, this is the right moment to evaluate and switch -- before you have invested data you cannot transfer.
Can I create flashcards with a language model (ChatGPT, Claude) without a dedicated app?
Technically yes -- you can generate Q&A cards with an LLM and export them as CSV to import into Anki or Memia. But without a dedicated app, you lose the essential piece: the SRS algorithm that schedules reviews at the right moment. LLM-generated cards are an excellent starting point for rapid deck creation; the SRS is what transforms them into durable memorisation by ensuring each card is reviewed at the optimal interval, not whenever you remember to open a document.