Step 1
Upload
Upload a single script or a full class set at once
Markable uses AI to analyse student scripts against official mark schemes and examiner reports - giving you detailed, accurate feedback in minutes. You review, confirm, and move on.
Step 1
Upload a single script or a full class set at once
Step 2
AI analyses each script against the official mark scheme and examiner reports
Step 3
You review the feedback, confirm the marks, and generate student reports
Video walkthrough coming soon
Step 1 of 4
Upload a single script or a full class set at once
Drag and drop files here
Without Markable: 26 students x 15 minutes = 6.5 hours of marking
With Markable: Upload in 2 minutes, review in 3 minutes per script = 1.5 hours total
Time saved: 5 hours per assessment
Less than 75p per hour of time saved
Detailed observations for each assessment objective, calibrated to Pearson mark schemes and examiner reports
Upload a full class set at once. All scripts analysed simultaneously in the background
You always make the final decision. AI assists, you confirm
Generate clean, readable feedback reports for students with one click
Built in full compliance with UK Government Principles for AI Use in Marking
School email required. Student initials only. No personal data stored
£6/month
30 analyses/month
Perfect for small groups
14-day free trial, card required, school email required
Start free trial£15/month
200 analyses/month
Perfect for most teachers
14-day free trial, card required, school email required
Start free trial£25/month
500 analyses/month
For heavy users and large groups
14-day free trial, card required, school email required
Start free trialMarkable started with BTEC Applied Law to solve one clear problem for teachers: high-quality feedback without evening and weekend marking overload. As the platform grows, Markable will expand into additional subjects while keeping the same rigorous standards for accuracy, transparency, and teacher control.
Every mark scheme, examiner report and past paper from 2018 to 2026 is loaded into Markable's knowledge base.