Use Case: Mortgage & Lending Industry

The mortgage industry faces significant challenges in processing large volumes of high-variance documents such as loan applications and financial records, often relying on manual data extraction due to limitations in traditional automation tools. Rule-based approaches, like OCR and robotic process automation, have proven inadequate for handling the complexity and variability of these documents at scale. To overcome these limitations, mortgage institutions are adopting Unstructured, a platform that processes unstructured PDFs and transforms them into structured outputs using a DAG-based pipeline, enabling efficient document parsing, enrichment, and routing. This approach enhances document processing by increasing throughput, reducing turnaround times, and improving accuracy, all while maintaining compliance and operational efficiency. By integrating seamlessly into cloud environments and existing infrastructures, Unstructured supports intelligent document workflows, facilitating faster and more reliable loan decisions without sacrificing precision or security.