OCR Extraction Runtime Optimization

The Challenge

The existing OCR pipeline was checking word containment in article boxes using inefficient polygon operations, costing $325K annually in AWS Lambda costs with slow processing times.

OCR Extraction Runtime Optimization

Our Solution

Implemented a ray-tracing algorithm from computer vision to quickly determine word-to-article containment relationships, reducing computational complexity from O(n²) to O(n log n).

Technologies Used

AWS Lambda Computational Geometry Ray Tracing Python

Results & Impact

  • Reduced annual processing costs from $325K to $11K
  • Improved processing speed by two orders of magnitude
  • Enabled real-time OCR processing for large document batches