Abstract: The present system and method relate generally to the field of Robotic Process Automation, particularly to a form data extractor for document processing. The system and method relate to a form extractor for document processing using RPA workflows that can be easily configured for different document types. The form extractor includes a set of templates for identifying the document type (classification) and extracting data from the documents. The templates can be configured, i.e., by the user, by defining the fields to be extracted and the position of the field on the document. The form extractor is resilient to changes in the position of the template on a page, as well as to scan rotation, size, quality, skew angle variations and file formats, thus allowing RPA processes to extract data from documents that need ingestion, independent of how they are created.

Abstract: Automatic generation of document templates based on recognized composition element patterns in a group of clustered documents is provided. Composition elements used in documents are typically unique to a particular user or to a group of users. An automated template generation system detects composition element patterns in documents associated with a given user. Sequences of composition elements from one document are aligned with sequences of composition elements of one or more other documents. The aligned sequences are scored to generate a document distance matrix. The documents are clustered together based on the alignment scores and a document template is generated for each corresponding cluster of documents. In one or more aspects, selecting a document template and updating it results in a modified document template or, in certain cases, a new document template. The generated document templates are displayed in a user interface for selection by a user.

Abstract: Automatic generation of document templates based on recognized composition element patterns in a group of clustered documents is provided. Composition elements used in documents are typically unique to a particular user or to a group of users. An automated template generation system detects composition element patterns in documents associated with a given user. Sequences of composition elements from one document are aligned with sequences of composition elements of one or more other documents. The aligned sequences are scored to generate a document distance matrix. The documents are clustered together based on the alignment scores and a document template is generated for each corresponding cluster of documents. In one or more aspects, selecting a document template and updating it results in a modified document template or, in certain cases, a new document template. The generated document templates are displayed in a user interface for selection by a user.