Case Study: a leading financial services company achieves 95% field extraction accuracy with Infrrd

Infrrd Automates Data Extraction From Handwritten Receipts With 95% Accuracy

Infrrd worked with a leading financial services company that specializes in multi-currency payments, VAT refunds, and credit card processing. The company needed to manually process large volumes of receipts containing handwritten details, stamps, and mixed document formats, making accurate extraction of key fields and line items difficult.

Infrrd deployed its OCR and machine learning-based extraction platform to classify documents, read handwritten text and stamps, and assemble the results into a single JSON response, with a correction module for higher-confidence review. The solution improved field-level extraction accuracy from 60% to 95%, reached 80% accuracy for handwritten data, processed 22,400 receipts in a week, and delivered results in about 10 seconds per extraction.