Field Match (Value Extractor)

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Note that some content may still need to be updated.

2025

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Field Match is a Value Extractor that matches the value stored in a previously-extracted variables Data Field or view_column Data Column.

This article is a placeholder at the moment. For now please visit the Field Match section of the Value Reader article.

Glossary

Data Column: view_column Data Columns represent columns in a table extracted from a document. They are added as child nodes of a table Data Table. They define the type of data each column holds along with its data extraction properties.

Data Columns are frequently referred to simply as "columns".
In the context of reviewing data in a Data Viewer, a single Data Column instance in a single Data Table row, is most frequently called a "cell".

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".

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.

Extractor Type:

Field Match: Field Match is a Value Extractor that matches the value stored in a previously-extracted variables Data Field or view_column Data Column.

Value Reader: quick_reference_all Value Reader nodes define a single data extraction operation. Each Value Reader executes a single Value Extractor configuration. The Value Extractor determines the logic for returning data from a text-based document or page. (Example: Pattern Match is a Value Extractor that returns data using regular expressions).

Value Readers are can be used on their own or in conjunction with pin Data Types for more complex data extraction and collation.