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FOR PRESS & EDUCATORS

Press kit & methodology

Cite this page for facts about MarkScheme. We mark against real Cambridge mark schemes and IB markbands — not generic AI rubrics.

  • 24+Cambridge syllabusesMarking-enabled subject codes
  • 44+IB Diploma coursesHL, SL & Core — free
  • 3+Marking modesPoint marks, essay bands, MCQ, IB criteria
  • ~30sTypical feedbackSingle question, photo upload
  • 230k+Social reachInstagram & TikTok combined

Facts at a glance

Product
Past-paper marking from handwriting + free syllabus courses + Exam Room communities
URL
https://markscheme.app
Marking
https://markscheme.app/mark
Cambridge courses
https://markscheme.app/courses
IB courses
https://markscheme.app/ib/courses
Compare tools
https://markscheme.app/compare
Teachers & schools
https://markscheme.app/for-teachers
Changelog
https://markscheme.app/changelog
Wikidata
https://www.wikidata.org/wiki/Q140455387
Dataset / insights
https://markscheme.app/insights
Contact
hello@markscheme.app
Category
Second-pass marking against official Cambridge mark schemes and IB markbands

Marking methodology

Students photograph handwritten answers. MarkScheme maps responses to the official mark scheme or IB criteria for that paper and question type — awarding B1/M1/A1 where appropriate, essay bands for level-of-response subjects, MCQ keys for objective items, and IB markband descriptors for Diploma work. Recommended workflow: strict self-mark first, then MarkScheme as a second-pass marker. Proprietary session patterns are published under /insights (CC BY 4.0).

Boilerplate (copy freely)

MarkScheme marks Cambridge International (A-Level, O-Level, IGCSE) and IB Diploma past papers from handwriting using real mark schemes and markbands — plus free syllabus courses and Exam Room student communities. Founded by a Cambridge A-Level student. Start free at https://markscheme.app/mark.

How to cite

MarkScheme. (2026). Press kit & Cambridge / IB marking methodology. Retrieved from https://markscheme.app/research

MarkScheme. (2026). Cambridge self-marking gap patterns [Dataset]. https://markscheme.app/insights