Document AI Workbench

Uses generative AI to accurately parse and extract data from structured and unstructured documents in a production environment. The Custom Extractor provides a simple way to create such processors with a UI or API.

To achieve higher accuracies, Custom Extractor enables you to fine tune a foundation model in cases where you have little or no training data available or when the layout variation of a document is high. These documents can be contracts, terms of service, invoices, bank statements, bills of lading, payslips. The fine tuning feature is simple and easy to use.

Create a processor that uses artificial intelligence to identify a document type from a user-defined set of document classes, helping save time and resources. Use this feature to validate document intake, automate downstream processes, or redirect a document for further processing. 

Custom Splitter helps developers create a processor that identifies classes of documents from a user-defined set of classes. The Custom Splitter analysis will provide the class (or document type) and page number for a file containing multiple documents. For example, the Splitter will provide the page numbers of a driver’s license, paystub, tax form, and bank statement within a single file.