Full Page

Creates a section instance from one or more pages in a document.

Remarks

The Full Page section extraction method generates one section instance for each qualifying page, containing the full content of that page. A qualifying page is any page that matches all specified filtering criteria. If no filtering criteria are provided, one section instance will be created for every page in the document.

This method is ideal for extracting entire pages as sections, such as when each page represents a distinct record, form, or logical unit. You can restrict which pages are included using the 'Page Filter' property, and further refine the selection by specifying an extractor in the 'Extractor' property.

Configuration Guidance

• Use 'Page Filter' to specify which page numbers should be included (e.g., "1,3,5-7" for pages 1, 3, and 5 through 7).
• Use 'Extractor' to require that a page contains a specific pattern or value in order to be included as a section instance.

If both properties are left blank, all pages will be output as section instances.

Properties

Name	Type		Description
Page Filter	String	►	An optional filter that restricts the operation to specific page numbers. ConverterPage Filter Converter The 'Page Filter' property allows you to specify which pages of the document should be considered for extraction as section instances. Enter a comma-separated list of page numbers and/or ranges (e.g., "1,3,5-7"). If left blank, all pages will qualify. This is useful when only certain pages in a document are relevant for extraction, such as cover pages, summary pages, or pages with a specific layout.
Extractor	Value Extractor	►	An optional extractor used to identify pages that should become section instances. EditorEditor ConverterConverter Can be one of the following types: Value Description Reference Delegates extraction to another configured extractor, enabling reuse and centralization of extraction logic. AI Column Extractor Extracts structured content from documents with two-column layouts. Ask AI Executes a completion using a large language model (LLM) and returns one hit for each choice in the response. Detect Signature Detects a signature within a specified region of a document page by measuring the percentage of the area that is filled. Entity Recognition Identifies and categorizes entities such as people, organizations, locations, and quantities in unstructured text. Field Match Matches the value stored in a previously-extracted field or table column. Find Barcode Searches for barcode values in document Layout Data previously detected during image processing. Highlight Zone Defines a region of a document to be visually highlighted, without extracting any data values. Key Phrase Extraction Identifies key concepts and topics in text using Azure AI Language key phrase extraction. Label Match Matches a list of one or more label values, using matching options defined by a Labeling Behavior. Labeled OMR Reads a group of one or more checkboxes located nearby text labels. Labeled Value Extracts a field presented as a label-value pair within a document, associating labels and values based on their spatial relationship. List Match Extracts values from document text that match any entry in a list of search terms. Ordered OMR Reads one or more checkboxes with a consistent order of appearance inside a rectangular region. Pattern Match Extracts values from document text that match a specified regular expression pattern. Pii Entity Recognition Identifies, categorizes, and redacts sensitive information (PII) in unstructured text using Azure AI Language Services. Query HTML Extracts values from an HTML document using a CSS or XPath selector. Query XML Extracts values from XML documents using XPATH queries, enabling structured data extraction from XML content in Grooper. Read Barcode Extracts barcode values from document images using configurable barcode recognition. Read Metadata Reads a metadata value from a document by accessing a property on an attachment or content link. Read Zone Extracts text content from a specified rectangular region (zone) of a document. Select Page Selects and outputs the full content of one or more pages from a document, based on page number and/or content criteria. Word Match Extracts individual words and multi-word phrases (N-grams) from document text for use in classification, data extraction, and normalization. Zonal OMR Reads one or more checkboxes using manually-configured zones. The 'Extractor' property allows you to specify a Value Extractor that must produce a hit on a page for it to be included as a section instance. If this property is empty, all pages that qualify under the 'Page Filter' will be output as section instances. Use this property to further refine which pages are included, such as requiring a page to contain a specific keyword, pattern, or value. For example, you might use a Pattern Match extractor to include only pages with a certain header or label.

See Also

Value Extractor

Used By

Data Section