About
Built in London, Ontario, for teachers who mark math.
Why we built MarkScanner
Grading a class set of handwritten math takes too long, and the part that takes longest is the part nobody wants: the repetitive first pass where you’re mostly writing the same comments on the same mistakes for the twentieth time. We built MarkScanner to take that first pass off the teacher’s plate, so the time left goes to the judgement calls and the conversations that only a teacher can have.
Why useful feedback matters, and what marking assistance can and can’t do about it, is on the Why MarkScanner page.
What we believe about AI in grading
AI should draft, not decide. The model suggests, the teacher reviews and approves, and nothing gets returned to a student until a real person has signed off on it.
MarkScanner is deliberately designed as a teacher-in-the-loop tool. Work it can’t read clearly gets flagged, not silently guessed, and every draft mark can be changed before it’s final.
We don’t use student work to train models, and we use Google’s paid Gemini API, where Google doesn’t train on it either. Your data is stored in Canada.
About the founder
I’m Oscar ONeill, a software founder in London, Ontario, and I’m the person on the other end of every email you send to MarkScanner. I’m not a teacher. I built MarkScanner after watching too many teacher friends spend evenings and weekends marking papers, with no time left for the parts of their job that matter most: working one-on-one with students, figuring out which topics the class is struggling with, and knowing when to reteach versus when to move on.
MarkScanner has been developed with direct input from Ontario secondary school teachers: how marking really happens, how real papers should be marked, and what students should get back.
The goal is simple. Give teachers time back from the repetitive first pass, get useful feedback to students sooner, and help teachers see where the class is struggling so they can decide what students need next.
Email me anytime: hello@markscanner.ca. Feedback, feature requests, weird edge cases from your own marking: I want to hear them. The product gets better the more teachers push on it.