memento-flashcards

You can generate flashcards from YouTube transcripts to improve recall by using the quiz generation feature, which processes video transcripts to create active recall questions. This requires only Python and standard libraries to function locally.

Yes, you can use spaced repetition flashcards locally without external APIs. The system stores all created cards and review data on your local machine, relying solely on Python and its standard libraries to manage adaptive scheduling.

You create and organize flashcards from text for self-study by inputting factual statements into the system, which then stores them in digital decks. These decks can be managed and reviewed through import and export functions.

No, spaced repetition flashcard software does not require external databases for review scheduling. It implements local data storage to track due cards and optimize retention intervals, operating entirely with standard Python libraries.

Spaced repetition scheduling works for reviewing due cards by having you grade your answers during a review session. The system then uses your grading input to optimize and adapt the retention intervals for each flashcard.

The best way to manage digital flashcard decks for language learning is by using the built-in import and export functions. This supports flexible learning workflows by allowing you to organize and transfer card data locally.