Mobile-Captured Document and Handwriting Digitization Pipeline
Pain Points (Public)
Business documents, receipts, and field notes frequently arrive as casual smartphone camera photos or skewed scans with shadow, glare, and cursive handwriting. Generic automated OCR tools fail to preserve layout structure and produce erratic character recognition on uncalibrated mobile shots, forcing operators to spend hours manually cross-referencing images to retype and clean the content.
Suggested Approach (Public)
A human-in-the-loop digitization workflow integrating computer vision pre-processing (perspective dewarping, thresholding) and Vision OCR with a side-by-side verification interface, transforming noisy camera captures into formatted Google Docs or Markdown files.
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