FSRS for Anki: Settings, Algorithm and Smarter Reviews
Understand FSRS, SM-2, setup choices and how to turn notes, PDFs or lectures into scheduled flashcards.
TL;DR
FSRS is Anki's newer scheduling option for estimating when a card should return. For most learners, the right setup is simple: update Anki, enable FSRS in deck options, keep the default parameters at first, and optimize only after you have enough review history. If you want spaced repetition without tuning scheduler settings, Flica uses an FSRS based workflow with AI card creation in one place.
FSRS sounds like an advanced Anki feature, so beginners often overconfigure it on day one. That usually creates a mess: too many changed deck options, no stable review history, and no clear way to know whether the schedule is helping.
This guide gives you a cautious setup path. If you need the science first, read the FSRS algorithm guide, then come back here for the practical Anki settings.
What FSRS changes in Anki
FSRS changes the review scheduler. Instead of relying on the older SM-2 style interval logic, it estimates memory using variables such as retrievability, stability, and difficulty. In daily use, that means the same card may return earlier or later depending on your review history and your target retention. It does not write better cards for you, fix vague prompts, or replace honest grading.
Before you touch the settings
Start with the official Anki build, not a random fork. Sync your collection, back it up, and update your desktop app. If you use multiple devices, make sure your mobile app can handle the same scheduling behavior before you depend on phone reviews. If your deck is full of duplicate or unclear cards, clean a small sample first because FSRS can only schedule the cards you give it.
The safe setup path
Open deck options, enable FSRS, and resist the urge to change every number. A safe first week is about consistency, not perfect optimization.
- Update Anki desktop and sync your collection.
- Back up before changing deck options.
- Enable FSRS for the deck or preset you actually review.
- Keep default parameters at first.
- Review normally for at least several sessions.
- Optimize parameters only when you have meaningful review history.
Default settings vs early optimization
Most setup problems come from optimizing too early.
| Decision | Good default | When to change it |
|---|---|---|
| FSRS toggle | Turn it on for the target preset | When you are ready to keep reviews consistent |
| Parameters | Keep default first | After enough reviews for that collection |
| Desired retention | Avoid extreme values | Adjust if workload is clearly too high or too low |
| Deck presets | Use fewer presets | Split only for genuinely different subjects |
Common mistakes
Do not judge FSRS after one heavy catch-up day. Do not mix several scheduler changes at once. Do not raise retention simply because higher sounds better, because it can increase review load. Do not assume an imported public deck will behave like a deck you built yourself. If you are comparing algorithms, the FSRS vs SM-2 comparison explains the tradeoff more directly.
When Flica is the simpler route
Anki is powerful if you want control over presets, add-ons, and deck structure. Flica is better when your bottleneck is turning source material into reviewable cards and starting spaced repetition without learning scheduler vocabulary. The honest choice is about friction: if setup is stopping you from reviewing, use the simpler workflow first.
FAQ
Should beginners enable FSRS in Anki?
Yes, if they are on a current Anki version and keep the setup simple. The mistake is not enabling FSRS, but changing many advanced options before building review history.
Do I need to optimize FSRS immediately?
No. Default parameters are a safer starting point. Optimize after you have enough real reviews for Anki to learn from.
What desired retention should I use?
Avoid extreme values at first. Higher retention can mean more reviews, so adjust only after you see the workload.
Does FSRS make bad cards good?
No. It schedules reviews. You still need clear prompts, one idea per card, and honest grading.
Is Flica using the same setup model as Anki?
No. Flica is built for a lower setup workflow: generate cards from study material, then review with spaced repetition without managing Anki presets.
Turn on FSRS, then stop tinkering
The best Anki FSRS setup is usually boring: enable it, keep defaults, review consistently, and optimize later. That gives the scheduler real data instead of noise.
If the setup itself is the reason you are not studying, choose a simpler AI flashcard workflow and start reviewing today.
Create FSRS flashcards from your material
Drop notes, PDFs or YouTube into Flica and get review cards with FSRS scheduling built in.
References
- Anki Manual: Deck Options and FSRS.
- FSRS4Anki documentation.
- Anki Manual: Backups.
- AnkiDroid official documentation.