Cymath vs Eqora

Cymath solves math problems step by step using artificial intelligence and heuristics, with coverage of algebra, calculus and graphing on Android, iOS and the web. Algebra topics include equation solving, factoring, logarithms, exponents, complex numbers, quadratic equations, trigonometry, partial fraction decomposition and polynomial division. Calculus includes product, quotient and chain rules, along with u-substitution, integration by parts and trigonometric substitution. Graphing features can generate graphs and identify intercepts, asymptotes, domains and ranges. The website also offers practice problems in pre-algebra, fractions, algebra and calculus, with full solutions and steps. On iOS, a user can capture a problem with the camera instead of typing it. The free plan provides step-by-step solutions. Cymath Plus costs $5 a month and adds ad-free use, detailed sub-steps and explanations on most problems, bookmarks, solution history, definitions and examples; cancellation is available at any time.

Eqora is an AI math tutor, photo solver, learning library, and toolkit for iPhone and iPad. Users can scan printed or handwritten exercises, crop to the problem, and receive a structured explanation. The tutor supports contextual follow-up questions, simpler explanations, alternate methods, and practice requests. Lessons, quizzes, flashcards, and AI-generated function graphs provide study material, while standard and scientific calculators handle unit, currency, and percentage calculations. Eqora targets learners from middle school through university, with algebra, geometry, trigonometry, statistics, and calculus topics. It is available from Apple’s App Store on devices running iOS 15.6 or later; there is no Android or web app. The Free plan costs nothing and is free to download, while optional Premium subscriptions provide higher AI usage with in-app pricing and limits. Photos can be misread and AI can make mistakes, so important work should be checked against class materials. Submitted photos, chats, and generated results are not used to train models.