Applied AI & Intelligent Document Processing
Multi-Column Historical PDF Document Digitization via LayoutParser
Automated extraction and structural reconstitution of complex multi-column historical archives (pages 233–478).
Timeline: May 2023
Delivery: Production-Ready
✕ The Business & Technical Challenge
Standard PDF text extractors jumbled multi-column historical layouts, mixing text across column margins into unreadable paragraphs.
⚙ The Engineered Architecture & Solution
Deployed deep learning document layout models using Python LayoutParser to detect column boundaries, captions, and tables individually.
✓ Measured Business Outcome & Impact
Accurately digitized over 240 dense pages of historical archives with flawless preservation of reading order and tabular structure.
Core Technology Stack
PythonLayoutParserDeep Learning Layout DetectionPDF Data Extraction
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