Graidable reads handwritten and typed math, follows each solution step, and applies your rubric with partial credit the way a human grader would.
Use it for algebra through calculus, review every suggested score, and publish feedback fast without losing teacher control.
The best math grader does more than mark final answers. It evaluates setup, execution, reasoning, and communication against your rubric.
Math grading is hard to automate unless the system can read handwriting and understand multi-step reasoning.
Math-aware AI plus instructor review keeps grading accurate and transparent.
A practical 10-point framework for multi-step questions.
Did the student choose the right approach and define the correct equation/model?
Are transformations, substitutions, and calculations valid step-by-step?
Is the final value correct, clearly stated, and properly labeled?
Is the reasoning legible, structured, and easy to follow?
A rectangular garden has perimeter 40 m and area 96 m^2. Find length and width.
L + W = 20, W = 20 - L, then L(20 - L) = 96. Student sets up correctly but flips the discriminant sign and gets one negative dimension.
Setup earns full credit. Execution receives partial credit due to a sign error in the discriminant. Final answer criterion is reduced because a negative width is not physically valid. Suggestion: recompute b^2 - 4ac and verify dimensions are positive.
Use the interactive demo below to preview grading, feedback, and human-review flags on real math responses.
Faster grading cycles and better feedback quality without removing teacher oversight.
Fit into existing teacher workflows instead of creating new ones.
Built for education workflows where instructor review and data protections matter.
“We cut first-pass grading time from hours to minutes while keeping TA review in the loop.”
“Partial-credit consistency improved across sections once everyone used the same rubric template.”
Yes. Graidable supports scanned and photographed handwritten submissions and can interpret equations, notation, and diagrams.
Scores are proposed per rubric criterion and can account for correct methodology even when final arithmetic includes an error.
Yes. Different correct approaches can receive full credit when they satisfy the rubric and mathematical constraints.
Teams use it from middle school math through university-level calculus and statistics.
Absolutely. Every suggested score and comment can be edited before grades are released.
You can export grade data and feedback, and LMS integration options depend on your setup.
Graidable is designed for educational grading workflows with instructor control and privacy protections.
Preview the demo, then start a pilot for your class, department, or institution.
Related workflows: AI chemistry grading and AI lab report grading.