Math solver that shows its work

Type any math problem in plain words or symbols. You get the answer, the steps that lead to it, and a similar practice problem so you can prove to yourself you’ve got it. For numeric problems, the arithmetic is computed by a calculator engine, not predicted by AI, so the numbers are ones you can trust and check.

How this math solver works

Most AI tools answer math questions the same way they answer essay questions: by predicting likely words. That works for explaining a concept and fails badly for arithmetic, which is why chatbots confidently produce wrong numbers.

This solver splits the job in two. The explanation, the setup, and the steps come from AI, which is good at those. The arithmetic runs through a real calculation engine (the same approach a spreadsheet uses), which is good at numbers. When you see the Calculated badge on a result, it means the number came from computed math, with the formula and inputs shown so you can verify every figure yourself.

It handles arithmetic, algebra, equations and systems, percentages and ratios, descriptive statistics, and the applied math that business students meet constantly: net present value, internal rate of return, annuities, loan payments, depreciation schedules, and break-even points.

Worked example

Ask it: “A machine costs $100,000 and returns $30,000 a year for 5 years. The cost of capital is 10%. Should we buy it?”

You get: the NPV formula, the discounting of each year’s cash flow, the computed result (NPV = $13,723, IRR = 15.24%), a plain-language verdict (positive NPV means the machine earns more than the 10% the money could earn elsewhere, so accept), and three practice questions of the same type with answers you can reveal after trying.

When not to use it

If your assignment says “show your own working,” the working you submit should be yours. Use the solver to learn the method on a similar problem, then work your assigned problem yourself and use the solver to check your result. That’s also simply the faster way to get good at math: reading a solution feels like understanding; reproducing one is understanding.

Limitations, stated plainly

• Word problems with ambiguous phrasing can be set up wrong. Check that the equation shown matches what the question asks before trusting the number.
• Proof-based math (real analysis, abstract algebra) gets explanations, not verified computation.
• Handwriting in photos is read by OCR and can misread symbols. The extracted problem is always shown so you can correct it.