{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Mortgage Document Classification \n", "\n", "Mortgage companies often need to process large volumes of diverse document types to extract business-critical data. Today, lenders are faced with the challenge of managing a manual, slow, and expensive process to extract data and insights from documents.\n", "\n", "To help address the issue, Amazon Textract Analyze Lending improves business process efficiency through automation and accuracy, reducing loan processing costs and providing the ability to scale quickly based on changing demand.\n", "\n", "\n", "## Analyze Lending \n", "Analyze Lending is a managed intelligent document processing API that fully automates the classification and extraction of information from loan packages. Customers simply upload their mortgage loan documents to the Analyze Lending API and its pre-trained machine learning models will automatically classify and split by document type, and extract critical fields of information from a mortgage loan packet.\n", "\n", "\n", "In this workshop, we will use Analyze Lending for Document Classification in the intelligent document processing workflow.\n", "\n", "At the beginning of our document processing stage, it may not be obvious as do which documents are present in the mortgage packet. Using Amazon Textract Analyze Lending we will first identify these documents into their respective classes. Once we know which documents are present in the packet, we can run any kind of validation such as look for missing/required documents, extract specific document in a specific way such as ID documents and so on. The figure below explains this process.\n", " \n", "\n", "
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