Reduced Manual Effort
Entity Extraction Text Accuracy
The client is a leading Wholesale Lender in the United States, providing best-in-industry turn times, competitive rates, elite service, and technology. Their key offerings include home loans, refinance, mortgages, and other related services. They required an automated document processing environment to speed up their business processes to improve the long turnaround times and provide more transparency to customers on the status of the application.
Quantiphi developed a GCP environment for users to upload various income and asset verification document types and receive a classification or entity extraction response using a template-based and template-free approach.
Quantiphi leveraged Cloud Vision API and GCP components to develop the automated pipeline which could be utilized to classify(on a page level) different financial documents such as tax forms with 98% accuracy.