AI-assisted grading for handwritten answers.
Overview
- Answer Sheet
- AI-assisted grading for handwritten answers.
Students write subjective answers on plain paper as usual. Upload the scans — local OCR reads the handwriting (math/LaTeX-aware) and AI grades against your rubric, with teacher override on every score.
- Upload & OCR
- Scan handwritten answer sheets; on-platform OCR extracts the text, including math and LaTeX.
- AI grades to your rubric
- AI evaluates each answer against the rubric you set and proposes a score with reasoning.
- Teacher always overrides
- You spot-check the small fraction the system flags as uncertain and override any score — full control.
- Board-style long-form
- Built for subjective long-answer questions where handwriting fluency matters.
- Handwriting OCR (math/LaTeX-aware)
- AI evaluation against your rubric
- Subjective long-answer support
- Per-student analytics
- Metered in AI Units — never over budget
- How accurate is the AI grading?
- AI proposes scores and flags uncertain ones; the teacher reviews and overrides. It saves time without removing your judgement.
- Does it read math?
- Yes — OCR is math/LaTeX-aware for numerical and equation-heavy answers.
- How is usage billed?
- Evaluation is metered in AI Units from your wallet, so spend stays predictable.
- Coaching centres
- Individual teachers
A board-style written exam, set up like an assignment
A guided wizard walks you from title to publish: link any Paper Canva paper as the question source, set the exam date, due date and submission window, write the rubric with marks against each criterion, and choose how much of the grading the AI should do — fully automatic, AI with teacher review, or entirely manual. That last choice is a setting rather than a philosophy you have to accept from the vendor. Submission policy is yours too: which file types, what size limit, whether resubmissions are allowed, what a late paper costs, and whether marking happens anonymously.
- Link any Paper Canva paper as the question source
- Exam date, due date and submission-window scheduling
- Rubric editor with per-criterion marks and AI weighting
- Three evaluation modes — AI auto, AI with teacher review, or manual
- Submission policy: file types, size limits, resubmissions, late penalty, anonymous marking
AI proposes the marks; you keep the red pen
Students upload photographs or scans of their handwritten answers — a phone picture of a notebook page is enough. OCR reads the writing, mathematics and LaTeX included, and the AI scores each answer against your rubric with its reasoning attached, so a proposed mark can be agreed with or argued down rather than merely accepted. You then work in a review workspace built for the job: annotate directly on the submitted PDF, move question by question with keyboard shortcuts, and adjust anything that looks wrong. Every score is overridable and the teacher’s mark always wins. Nothing reaches a student until you release it.
- Handwriting OCR that understands math and LaTeX
- AI-proposed marks per question, graded against your rubric
- Annotate directly on the submitted PDF
- Question-by-question evaluation with keyboard shortcuts
- Override any score — the teacher’s mark always wins
Subjective marks that flow like objective ones
Descriptive papers usually end their life as a number in a register, which is why nobody ever learns anything from them twice. Released marks here join the same analytics as your online and OMR exams, rolled up by board, class and subject and broken down per student and per chapter. Students see the annotated sheet itself, the rubric breakdown that produced their mark, and your overall feedback — the moment you publish, and not before. AI insights on each submission help you write sharper comments than the third "needs more detail" of the evening, and the whole set exports when the office asks for it.
- Marks roll into subject analytics by board, class and subject
- Students see teacher annotations and the rubric breakdown
- Feedback publishing is explicit — nothing is visible until you release it
- AI insights on every submission help you write sharper feedback
Term-exam correction that finishes on time
Every answer script is scanned once and graded in one workspace. AI does the first pass against the rubric; teachers review, annotate and release — and the marks are already in analytics when report cards come around.
- Handwriting OCR reads the script, mathematics and LaTeX included, before grading starts
- AI proposes a mark per question against your rubric, with its reasoning attached
- Annotate directly on the submitted PDF and move question by question with shortcuts
- Anonymous marking available, so a name never influences a borderline mark
- Nothing is visible to students until you explicitly release the feedback
- Marks land in subject analytics by board, class and subject in time for report cards
- A guided wizard runs setup from title to publish, so no step is improvised at 9pm
- Results sit beside online-exam and OMR marks, so one weak chapter appears once
Board-pattern descriptive tests, weekly
- Run CBSE-style subjective mocks as often as objective ones. AI grading against your marking scheme makes weekly long-answer practice feasible for batches of hundreds.
- Link any Paper Canva paper as the question source, so the test matches the pattern
- Rubric editor with per-criterion marks, written once and reused every week
- AI weight control decides how much of the marking is automated, per exam
- Submission windows, late penalties and resubmission rules set per test
- Batch upload handles a full cohort rather than one script at a time
- Chapter-level analytics show which long-answer topics the batch keeps losing marks on
- Negative marking supported where the pattern calls for it, applied consistently
- Photo or scan accepted, so a batch is not blocked on who owns a scanner
- Marks export when the office asks, without anyone retyping a register
Homework that gets real feedback
Students photograph their notebook pages and upload. You review AI-proposed marks over tea, scribble on the PDF where it matters, and every student gets annotated, rubric-based feedback — not just a tick.
- Students upload a phone photograph of a notebook page — no scanner required
- AI-proposed marks per question give you a starting point rather than a blank grid
- Override any score: the teacher’s mark always wins and is what the student sees
- Students see the annotated sheet and the rubric breakdown, not just a total
- AI insights on each submission help you write a sharper comment than “more detail”
- Three evaluation modes — fully automatic, AI with review, or entirely manual
- Set file types, size limits and whether resubmissions are allowed, per assignment
- Question-by-question review with keyboard shortcuts, so a pile moves quickly
Exam setup
- Guided creation wizard — basics, paper, schedule, grading, submission policy, review
- Question paper linking — any Paper Canva paper, with total-marks preview
- Rich-text instructions — formatted instructions students see before submitting
- Scheduling — exam date, due date and when the submission window opens
- Draft and publish workflow — review a change summary before publishing
Evaluation modes
- AI auto — AI grades every answer against the rubric
- AI with review — AI proposes; the teacher confirms before marks count
- Fully manual — the workspace without AI scoring, for exams you grade yourself
- Metered in AI Units — AI evaluation draws from your wallet — spend stays predictable
Rubrics & marking
- Rubric editor — criteria with marks, built per exam
- AI weight control — decide how strongly AI scoring counts
- Negative marking option
- Anonymous marking — grade without seeing student names
- Late-submission penalty — configurable percentage deduction
Student submission
- Photo or scan upload — students photograph handwritten pages — no special hardware
- Submission policy controls — allowed file types, max files and size per submission
- Resubmissions — allow a set number of re-uploads before the due date
- Late submissions — accept after the deadline, flagged and optionally penalised
- Student result view — annotated sheet, rubric breakdown and teacher feedback
Grading workspace
- Handwriting OCR — reads handwritten answers, math and LaTeX included
- AI-proposed marks with reasoning — each answer scored against the rubric, explained
- PDF annotation — annotate directly on the submitted sheet
- Question-by-question evaluation — with keyboard shortcuts for fast passes
- Rubric scoring tab — criterion-level marks when a rubric is set
- Teacher override on every score
- AI insights — per-submission insights surfaced beside the marks
- Overall feedback editor — rich-text feedback per student
- Explicit release control — feedback stays hidden until you publish it
Results & analytics
- Subject analytics rollup — performance by board, class, subject and chapter
- Per-student results
- Unified with other channels — sits beside online-exam and OMR marks in one dashboard