Data Field (Node Type)
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variables Data Fields represent a single value targeted for data extraction on a document. Data Fields are created as child nodes of a data_table Data Model and/or insert_page_break Data Sections.
- Data Fields are frequently referred to simply as "fields".
For example, if you wanted to extract an invoice number from a collection of invoices, you would create an "Invoice Number" Data Field within a Data Model as its child. The extractor used to find that value on the document would be set on the Data Field, as well as other properties such as its ultimate format on output, how that field behaves during the Extract and Data Review activities (such as if the Data Field is required to be filled), and any .NET code based expressions used to validate or generate the field.
Glossary
Data Field: variables Data Fields represent a single value targeted for data extraction on a document. Data Fields are created as child nodes of a data_table Data Model and/or insert_page_break Data Sections.
- Data Fields are frequently referred to simply as "fields".
Data Model: data_table Data Models are leveraged during the Extract activity to collect data from documents (folder Batch Folders). Data Models are the root of a Data Element hierarchy. The Data Model and its child Data Elements define a schema for data present on a document. The Data Model's configuration (and its child Data Elements' configuration) define data extraction logic and settings for how data is reviewed in a Data Viewer.
Extract: export_notes Extract is an Activity that retrieves information from folder Batch Folder documents, as defined by Data Elements in a data_table Data Model. This is how Grooper locates unstructured data on your documents and collects it in a structured, usable format.
Review: person_search Review is an Activity that allows user attended review of Grooper's results. This allows human operators to validate processed contract Batch Page and folder Batch Folder content using specialized user interfaces called "Viewers". Different kinds of Viewers assist users in reviewing Grooper's image processing, document classification, data extraction and operating document scanners.