Enterprises often receive a wide range of unstructured documents—such as invoices, contracts, forms, and letters—via email, fax, or online uploads. These documents frequently require manual data entry into legacy systems that lack modern ingestion capabilities. This manual process introduces errors, slows down operations, and creates processing bottlenecks across back-office workflows.
Extract automates the intake, interpretation, and routing of unstructured or semi-structured documents using a combination of OCR and LLM-based field extraction. It ingests scanned files, PDFs, emails, and forms, identifies key data points regardless of layout, normalizes the content into structured formats, and routes the output into existing enterprise databases or applications. Extract also integrates with APIs, RPA bots, and workflow tools to kick off downstream actions without human intervention.
Extract transforms the way enterprises handle unstructured documents by automating extraction, normalization, and routing into legacy systems. It reduces manual workload, eliminates entry errors, and connects paper-based processes to digital workflows — securely and at scale.