Applied AI & Intelligent Document Processing
Image Preprocessing & OCR Precision Optimization for PDF Extraction
Algorithmic image preprocessing engine to enhance low-contrast, low-resolution PDF text for optical recognition.
Timeline: March 2024
Delivery: Production-Ready
✕ The Business & Technical Challenge
Poor scan quality and distorted timestamp watermarks in PDF archives caused OCR extraction failure rates exceeding 40%.
⚙ The Engineered Architecture & Solution
Implemented adaptive thresholding, morphological deskewing, and custom Tesseract segmentation parameters in Python.
✓ Measured Business Outcome & Impact
Elevated data extraction accuracy from under 60% to over 98% on degraded document scans.
Verified Client Endorsement
“Exceeded our expectations, enhancing OCR accuracy significantly and demonstrating exceptional Python and OCR expertise.”
Core Technology Stack
PythonpytesseractOpenCVImage PreprocessingOCR
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