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PDF → JSON Data Extraction System

A Python-based system for extracting structured data from PDF documents into a strict JSON schema using layout-aware parsing.

Key Features

  • Layout-based extraction using PDF text coordinates
  • No regex, no heuristic guessing
  • Supports minor layout variations via configurable tolerance
  • Strict JSON schema validation
  • Built-in logging for traceability
  • Modular and extensible design

Approach

The system relies on PDF text positions (x/y coordinates) to accurately map labels and values. This ensures reliable extraction even for complex or semi-structured PDFs such as invoices, reports, or statements.

Typical Use Cases

  • Invoice processing
  • Financial documents
  • Business reports
  • Enterprise or government PDFs

Tech Stack

  • Python
  • pdfplumber / pdfminer
  • JSON Schema validation
  • Logging

Notes

Sample PDFs are not included for privacy reasons. The repository demonstrates the extraction architecture and workflow.

About

Layout-based PDF to JSON data extraction system using Python. No regex, strict schema validation, and reliable coordinate-based parsing.

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