Labeled Region

Selects content occurring after a header label.

Remarks

The LabeledRegion quoting method extracts a region of content from a document that appears after a header label, optionally ending at a footer label or after a specified number of lines. This method is ideal for quoting tables, sections, or other structured regions that are demarcated by recognizable headers and/or footers.

How It Works:

• The method locates header labels using either a Value Extractor or a Label Set associated with the Content Type.
• Optionally, a footer label can be specified to mark the end of the region.
• The number of lines to include after the header can be limited using the 'Maximum Lines' property.
• Preprocessing options such as tab or paragraph marking can be applied to the extracted region to improve AI understanding of tabular or natural language content.

Configuration:

• Use the 'Header Extractor' property to define how the header label is identified.
• Use the 'Footer Extractor' property to define how the footer label is identified (optional).
• Set 'Maximum Lines' to limit the number of lines included after the header (optional).
• Use the 'Preprocessing' property to apply text preprocessing to the extracted region.

Use Cases:

• Extracting tables or sections that follow a specific label in semi-structured documents.
• Supplying the AI with only the relevant region of a document, reducing prompt size and focusing the model's attention.
• Improving extraction accuracy for documents with repeating or variably-placed regions.

Properties

Name	Type		Description
Header Extractor	Value Extractor	►	An optional extractor to match the header above the table. 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. Set the 'Header Extractor' property to a Value Extractor to identify the header label that marks the start of the region to extract. If not set, header labels may be determined by a Label Set if available.
Footer Extractor	Value Extractor	►	An optional extractor to match the footer row at the bottom of the table. 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. Set the 'Footer Extractor' property to a Value Extractor to identify the footer label that marks the end of the region to extract. If not set, the region will extend to the next header or the end of the document.
Maximum Lines	Nullable Int32?	►	When using a header, the number of lines after the header to include in the context. Set 'Maximum Lines' to limit the number of lines included after the header label. If not set, all lines until the next header or footer will be included.
Preprocessing	Text Preprocessor	►	Specifies preprocessing options which will be applied to document content before it is submitted to the AI. EditorObject Properties Editor ConverterExpandable Converter Use the 'Preprocessing' property to apply options such as tab or paragraph marking to the extracted region. This can help the AI model interpret tabular or natural language content more clearly.

See Also

Value ExtractorText Preprocessor

Used By

Attachment RuleAI SeparateLLM ClassifierAI Transaction DetectionAI Collection ReaderAI Section ReaderAI ExtractAI Table ReaderAI Generator