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Extractify: Algorithmic Document Extraction & Visual Mapping IDE

Engineered a 5-step Visual ETL pipeline for heavily unstructured PDFs, eliminating manual data entry.

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The Problem

Traditional regex-based PDF extraction fails on heavily unstructured or variable layout documents.

The Solution

Built an interactive React-based schema builder with dynamic context anchoring and a Structural N-gram Periodicity algorithm to autonomously isolate repeating document templates.

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System Architecture

Automated anomaly resolution engine for structural deviations, pre-export analytics, and transformation engine for conditional logic.

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Tech Stack

PythonReactFlaskAzure