Layout-Preserving Scanned Document Digitization and PDF Reconstruction
Pain Points (Public)
Standard OCR tools frequently discard heading hierarchies, exact line breaks, and typographic alignment, while raw scans retain background artifacts, skew, and compression noise, forcing teams into tedious manual retyping to produce publication-grade editable PDFs.
Suggested Approach (Public)
Implement an image-cleanup and layout-aware reconstruction workflow using OpenCV for binarization, deskewing, and artifact removal, followed by bounding-box OCR extraction and programmatic re-typesetting via PyMuPDF or ReportLab to generate clean, vector-rendered editable PDFs matching the original formatting.
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Public Demand Evidence · 2 task(s)
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