OCR Extraction Runtime Optimization
The Challenge
An inefficient OCR pipeline was burning through cash, costing $325,000 annually in AWS Lambda fees. The slow, poorly designed process made real-time data extraction impossible and threatened project scalability.
Our Solution
Implemented a ray-tracing algorithm from computer vision to quickly determine word-to-article containment relationships. Optimized the spatial indexing using R-trees and reduced computational complexity from O(n²) to O(n log n). Deployed as serverless functions with intelligent batching.
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Results & Impact
Reduced annual processing costs from $325K to $11K (97% reduction)
Improved processing speed by two orders of magnitude
Enabled real-time OCR processing for large document batches
Scaled to handle 10M+ documents per month
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