Gradeio
Mathematics exam paper corrections.
Correct your paper fast using AI.
Instant grading
every classroom
needs
From uploaded PDFs to a downloadable report — here's how Gradeio works in practice.
Scroll to start demo
Students value progress.
Instant feedback. Clear insights. Faster improvement.
94.7%
reduction in time-to-results
vs traditional correction
Get feedback in minutes, not days.
100%
reported improved results
across all student cohorts
Every student sees clearer, faster feedback.
Teachers value time.
Save hours on grading. Focus on what matters most.
3×
less time spent grading
vs manual correction
Spend less time grading, more time teaching.
98%
grade agreement with manual marking
vs expert-corrected papers
AI grades that match what your best teacher would give.
📁STEP 01 — UPLOAD
Drop your files in seconds.
Take a picture or scan of your answer sheets, and upload them in the correct order. Gradeio handles handwritten maths, printed work and scanned papers alike.
- ↗Accepted files: PDF, JPG, PNG, WEBP
Click to browse files
or drag & drop here
Q1_answers.jpg
1.4 MB
Q2_answers.jpg
1.8 MB
Q3_answers.pdf
2.1 MB
🤖STEP 02 — GRADE
AI grades every question.
Gradeio evaluates every question against the marking scheme and calculates your final result — in under a minute.
- ↗Rubric-band grading with explicit justifications
- ↗Low-confidence answers flagged for teacher review
AI grading in progress…
🔍STEP 03 — REVIEW
See exactly why each mark was awarded.
Every question shows the band it hit, the marks awarded, and a plain-English justification — so you can agree, override, or correct with one click.
- ↗Per-question rubric breakdowns with full criteria
- ↗One-click teacher overrides tracked for future grading
Question 2b — Integration
"Correct method and substitution. 2 marks lost for sign error."
📄STEP 04 — EXPORT
Download your actionable feedback report.
Confirm the grades and export a clean, formatted PDF report per student — ready for parents, students, or your school records system.
- ↗Branded feedback report per student
- ↗Totals, per-question breakdown, and AI justifications included
8/10
Q1
12/15
Q2
6/10
Q3
Total: 26/35 (74%)
Early access
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