Full-booklet transcription
Reads a scanned PDF as one connected answer booklet, keeps question labels and page ranges, and flags uncertain handwriting.
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What is built today
The beta is centred on one job: turn a handwritten paper into specific, consistent feedback you can use.
Reads a scanned PDF as one connected answer booklet, keeps question labels and page ranges, and flags uncertain handwriting.
Reviews knowledge, keywords, facts, structure, conclusions, presentation, and visual evidence with one repeatable rubric.
Looks at the drawing on the page—not just an OCR description—and carries verified crops into the report.
Maps each answer to subject, topic, and ground-truth subtopic codes so weak areas remain comparable over time.
Standard reports focus model answers on the weakest responses; the Topper pack expands that to every answer.
Tracks scores and skill signals across completed booklets so improvement is based on evidence, not memory.
Preserves Devanagari transcription and supports an explicitly selected report language.
Uploaded booklets and generated reports stay in private object storage and are accessed with short-lived signed links.
The public sample is a generated evaluation report, not a conceptual mock-up.