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Professional ProjectAI/ML

Line Item Extraction with User-Defined Templates

Timeline: 2019
Role: Software Developer

Overview

Built template-based system for extracting table structures from invoices, including multi-line headers.

Challenge

Line item extraction is difficult in invoice processing. Tables can have complex structures with multi-line headers. Need to match similar layouts reliably. Required accurate extraction for template-based approach.

Solution & Approach

Developed UI for users to draw tables on example invoices. Created layout matching algorithm. Supported complex table structures including multi-line headers. Enabled template reuse across similar invoice layouts.

Outcome & Impact

Layout matching algorithm has not failed in production. Used in other company projects. Handles complex invoice table structures. Accurate extraction for matched layouts.

Technologies Used

Custom layout matching algorithmComputer visionTable structure recognitionC#

Key Highlights

  • Layout matching algorithm never failed in production
  • Handles complex multi-line headers
  • Used in other company projects
  • User-friendly template creation interface
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