Applied AI & Intelligent Document Processing
Custom Deep Learning OCR for Handwritten Historical Scans
Bespoke optical character recognition models trained specifically for unstructured, complex handwritten documents where commercial OCRs failed.
Timeline: April 2024 – October 2025
Delivery: Production-Ready
✕ The Business & Technical Challenge
Off-the-shelf OCR engines (AWS Textract, Tesseract, Google Vision) failed to accurately decipher handwritten cursive logs and tabular marginalia.
⚙ The Engineered Architecture & Solution
Trained and fine-tuned custom vision models with specialized image binarization, stroke enhancement, and human-pattern parsing logic.
✓ Measured Business Outcome & Impact
Surpassed industry standard commercial OCR accuracy by 35% on complex handwritten historical records.
Core Technology Stack
PaddleOCRCustom Computer VisionHandwritten Text RecognitionDeep LearningPython
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