← Part of the Feedback Flows toolkit
AI exam marking for handwritten and typed scripts
Upload the question paper and mark scheme as they are, then a ZIP of handwritten scans or typed scripts. Each paper is marked question by question, with you in control of the final scores.
- Handwriting OCR supported
- No retyping of papers or schemes
- Question-level marks
- Teacher review before release
Built for mocks, short-answer tests and scanned papers
Exam seasons produce piles of scripts that do not fit a long-essay rubric. Teachers and assessors need a reliable way to apply a mark scheme to each question — including handwritten answers — without rebuilding every paper as a digital form or spending nights retyping schemes into a spreadsheet.
Feedback Flows AI exam marking reads the question paper and mark scheme you already use. Scanned pages are OCR'd in order, typed scripts are accepted as documents, and the AI drafts marks and feedback per question. You review, adjust and release — nothing reaches a learner without a person signing off.
Start with one mock cohort so markers learn the review screen and agree when to override OCR misreads. Export CSV for moderation and save results to profiles so Reporting Hub can show question hotspots before the next teaching block. Borderline handwriting always deserves a human look: treat AI drafts as a first pass, confirm totals, rewrite thin comments, and only then release.
Moderation packs should include the paper, scheme, a sample of reviewed scripts and the override log. That bundle makes AI exam marking easy to explain to heads of department, governors and external reviewers without defending a black-box grade.
Where AI exam marking fits
Secondary schools
Mark GCSE and A-level style mocks with handwritten scripts without rebuilding papers as online quizzes. Review a sample of outputs together the first time you introduce AI exam marking, then agree override norms.
Further education
Apply departmental schemes to short-answer and structured papers across large teaching groups. Review a sample of outputs together the first time you introduce AI exam marking, then agree override norms.
Independent training providers
Assess knowledge checks and practice papers with question-level evidence for IQA sampling. Review a sample of outputs together the first time you introduce AI exam marking, then agree override norms.
Higher education
Support mid-module tests and invigilated short papers where OCR and per-question feedback speed review. Review a sample of outputs together the first time you introduce AI exam marking, then agree override norms.
Year 10 science mock — 28 handwritten scripts
By hand vs with exam paper marking
| Aspect | Manual | With Feedback Flows |
|---|---|---|
| Scheme setup | Retype or annotate schemes by hand for each marker when deadlines are tight and staffing is thin | Upload the scheme file or draft from the paper once with teacher review and an export trail before release |
| Handwriting | Read every page and write totals in a grid when deadlines are tight and staffing is thin | OCR plus per-question AI drafts you review with teacher review and an export trail before release |
| Consistency | Varies by marker fatigue and interpretation when deadlines are tight and staffing is thin | Same scheme applied to every script before human override with teacher review and an export trail before release |
| Feedback depth | Often a tick and a total under time pressure when deadlines are tight and staffing is thin | Question-level comments ready to edit and release with teacher review and an export trail before release |
From paper to reviewed marks
Upload paper and scheme
Add the question paper and either generate a scheme with AI or upload your own mark scheme file. Check names and classes carefully so history lands on the right learner.
Add scripts
Upload a document, ordered page images, or a single-script ZIP of scans named 1.jpg, 2.jpg, and so on. Check names and classes carefully so history lands on the right learner.
AI drafts per question
Each answer is scored against the scheme with feedback you can edit. Check names and classes carefully so history lands on the right learner.
Review and save
Override marks, export, and keep results on the learner profile. Check names and classes carefully so history lands on the right learner.
What exam paper marking covers
Handwritten scans
Vision OCR extracts text from photographed or scanned pages so handwriting can be marked. Designed to sit beside your other Feedback Flows tools for AI exam marking.
Typed scripts
PDF, Word and text uploads for digital papers and word-processed answers. Designed to sit beside your other Feedback Flows tools for AI exam marking.
Flexible mark schemes
AI-generated schemes from the paper, or upload the scheme your department already trusts. Designed to sit beside your other Feedback Flows tools for AI exam marking.
Question-level breakdown
See marks and comments per question, not just a single total. Designed to sit beside your other Feedback Flows tools for AI exam marking.
Cohort signals
Spot which questions the class struggled with after a mock window. Designed to sit beside your other Feedback Flows tools for AI exam marking.
Profile history
Results land on the student marking history for reporting and interventions. Designed to sit beside your other Feedback Flows tools for AI exam marking.
See the marked script and the results view
Teachers open a clear breakdown: question marks, feedback, and a path to override before anything is shared. Training Centre walkthroughs mirror the same AI exam marking screens so new markers practise review before live work.
- Ordered page images stay aligned to the script
- Mark scheme and student answers stay side by side in review
- Exports support moderation and records
Research and practice
Continue exploring
Questions about AI exam marking
Try Exam paper marking on a live demo
Explore the tool with sample work, or start free with welcome credits on your own account.