How StudyLess Works

The science of remembering everything, applied to your study routine.

Three Simple Steps

From notes to exam-ready in minutes.

01

Scan Your Notes

Take a photo of your notes, upload a PDF, or paste text. Our AI instantly creates optimized flashcards for you.

02

Set Your Exam Date

Tell us when your test is. Our algorithm calculates the optimal review schedule to ensure 95% retention on exam day.

03

Review Daily

Spend just 10-15 minutes per day reviewing what the algorithm shows you. Everything will be remembered when it matters.

The Science Behind It

Backed by over 100 years of memory research.

The Forgetting Curve

Ebbinghaus, 1885

German psychologist Hermann Ebbinghaus discovered that memory decays exponentially over time. Without review:

50%forgotten in 1 hour
70%forgotten in 24 hours
90%forgotten in 1 week
100%50%0%Day 1Day 3Week 1Month
Without review
With spaced repetition
Ebbinghaus, H. (1885). Memory: A Contribution to Experimental Psychology.

Spaced Repetition

Cepeda et al., 2006

The solution to forgetting is strategic review. By spacing out reviews at optimal intervals, you can maintain high retention with minimal effort.

“Distributed practice is one of the most robust effects in all of learning science.”— Cepeda et al., Psychological Bulletin
Example intervals:
1 day3 days1 week2 weeks1 month3 months
Cepeda, N. J. et al. (2006). Distributed practice in verbal recall tasks. Psychological Bulletin, 132(3), 354-380.

Active Recall (Testing Effect)

Roediger & Karpicke, 2006

Simply re-reading notes is ineffective. Actively retrieving information from memory strengthens neural pathways far more than passive review.

Re-readingFeels productive, but leads to illusion of competence
Testing yourselfHarder, but produces 50% better long-term retention
Roediger, H. L. & Karpicke, J. D. (2006). Test-enhanced learning. Psychological Science, 17(3), 249-255.

FSRS Algorithm

Open Source

StudyLess uses FSRS (Free Spaced Repetition Scheduler), an open-source algorithm that powers Anki's native scheduler since version 23.10. It's used by over 50 million learners worldwide.

DSR Model

Tracks Difficulty, Stability, and Retrievability for each card

Adaptive Learning

Adjusts to your individual memory patterns

Research-Backed

Based on modern memory research and machine learning

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