Anki employs spaced repetition algorithms (SM-2 and modern FSRS) to schedule card reviews at optimal intervals, preventing forgetting while minimizing study time. The software supports multimedia content, extensive customization through HTML/CSS, and can handle decks with 100,000+ cards across multiple platforms.
Website: https://apps.ankiweb.net/
Free on most platforms (except iOS)
Advanced spaced repetition algorithms
Multimedia support (audio
images
video)
Extensive customization options
Large community and shared deck library
Cross-platform sync via AnkiWeb
Powerful add-on ecosystem
Open source
Handles massive card collections
Anki is a spaced repetition flashcard software created by Australian programmer Damien Elmes in 2006, originally designed for learning Japanese. The program uses scientifically-backed algorithms to schedule card reviews at optimal intervals, ensuring information moves from short-term to long-term memory efficiently.
Anki is ideal for all levels of learning, from beginner to advanced for learners who want systematic vocabulary retention and anyone needing to memorize large amounts of information long-term. It's particularly popular among medical students, language learners, and professionals studying technical subjects.
Download from apps.ankiweb.net (free on desktop/Android, one time payment of $24.99 on iOS), create an AnkiWeb account for syncing, and immediately adjust deck options to enable FSRS algorithm and set appropriate daily limits. Default settings are problematic and should be changed before use.
Import or create flashcards in decks, study daily by rating your ability to recall the information, and let Anki schedule reviews automatically. Review cards daily as they become due, focusing on consistent daily practice rather than cramming sessions.
Enable FSRS scheduling for optimal intervals, create cards with context rather than isolated facts, and use the "Good" and "Again" buttons primarily while avoiding "Hard" and "Easy" buttons which can disrupt the algorithm.
Anki has a steep learning curve and can feel overwhelming initially, with poor default settings requiring adjustment. Add-ons may conflict with newer algorithms like FSRS, and creating high-quality cards can be time-consuming.