Document Image Preprocessing for OCR Accuracy
Fixing blurry, skewed, or damaged scans beats upgrading the OCR engine itself.
Section
9 stories in Document Parsing and OCR.
Fixing blurry, skewed, or damaged scans beats upgrading the OCR engine itself.
Silent encoding errors compound across document pipelines undetected.
Understanding field relationships requires parsing layout before text extraction.
Choose a parser by what your pipeline can't survive getting wrong, not by benchmark headlines.
Handwritten text recognition fails silently in ways printed OCR never anticipated.
Order matters: layout analysis, then OCR, then reasoning for accurate document parsing.
Structure recognition, not OCR accuracy, is where table extraction fails.
A new graph-based method beats decades-old heuristics on multi-column documents.
Each tool excels on different document types; choosing between them is about matching the problem.