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An algo flashcards app that turns lecture notes into review cards

Upload your algorithms slides, notes or textbook pages and get question-and-answer cards for Big-O, sorting, graphs and dynamic programming, scheduled for review with spaced repetition.

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Drop files here or browsePDF, DOCX, PPTX, text or photos of your notes · several files with Plus

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Why algorithm flashcards work better when built from your own course

Algorithms courses pile up fast: Big-O bounds, recurrence solutions, graph traversals and dynamic programming patterns often arrive in the same week. An algo flashcards app works best when the cards come from your own lecture slides and notes, since your professor's examples and notation are what show up on the exam. DeckOwl reads those files and drafts question-and-answer cards from them.

Cards for time and space complexity, with the reasoning behind each bound
Pseudocode prompts that ask you to fill in the missing step of a known algorithm
Quizzes with explanations for why a wrong option fails
Mind maps linking sorting, searching and graph algorithms by shared technique

Example algorithms flashcards for a data structures course

What is the time complexity of binary search on a sorted array?O(log n), because each comparison halves the remaining range.

What requirement must edge weights meet for Dijkstra's algorithm?They must be non-negative, because the algorithm finalizes each shortest distance greedily and negative edges break that guarantee.

What is the worst-case time complexity of merge sort?O(n log n), because the array is split log n times and each level merges in linear time.

When does quicksort reach its worst-case time of O(n^2)?When pivots consistently split off only one element, such as choosing the first element of an already sorted array.

Which data structure does breadth-first search use to track nodes to visit?A queue, because first-in, first-out order explores nodes level by level from the start.

Generate the full set

Upload what your course gives you

PDF, DOCX, PPTX, plain-text notes, or photos of a whiteboard or textbook page. Photos are read with text recognition.

Spaced repetition built in

Cards return at growing intervals, so you review complexity bounds and pseudocode right before you would forget them.

Quizzes and mind maps too

Multiple choice, true/false and short answer questions with explanations, plus mind maps of how algorithm families connect.

How it works

Upload your material

Add a PDF, slide deck, or notes from your algorithms course.

Generate flashcards

DeckOwl drafts question-and-answer cards from the content you gave it.

Review on schedule

Study in the browser, and spaced repetition brings back the cards you miss more often.

Memorizing a complexity class or a pivot rule is only half the job; you also need to recall it when you meet an unfamiliar problem. Spaced repetition brings each card back just before you would forget it, which suits algorithms because the same ideas return in different forms. A short review most days beats cramming the night before a midterm.

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Frequently asked questions

Which algorithms should I memorize first for an exam?

It depends on your syllabus, but most courses center on sorting, searching, graph traversal, shortest paths and basic dynamic programming. Start with the algorithms your lecture notes emphasize and their complexity bounds.

How often should I review algorithm flashcards?

Short sessions several times a week work better than one long cram, because spaced repetition schedules each card for review just as recall starts to fade. Keep new cards to a manageable number each day so reviews do not pile up.

Can I export my algorithm flashcards to Anki?

Yes, but exports are a paid feature. The Plus plan at $39/year or $7.99/month includes PDF, DOCX, Anki and CSV export along with unlimited generations.

Is there a free plan to try it first?

The free plan gives you 3 generations per month and lets you study in the browser, and no credit card is needed to start. Students can get 40% off with a school email.

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Keep exploring the topic

Review the main ideas visually or practice recalling them.