Layout Objects

Supplies the LLM with the location and content of all text segments, lines, barcodes, checkboxes, and etc.

Remarks

The Layout Objects quoting method is designed to provide the AI model with a detailed, structured representation of the document's visual and textual layout. This includes information about text segments, plus Layout Data such as lines, barcodes, checkboxes, and their positions on each page.

How It Works:

• The method generates a JSON schema describing the structure of the Layout Data, including arrays of text segments, lines, barcodes, and checkboxes for each page.
• For each page, it collects the content and bounding rectangles for all relevant objects, ensuring that the AI receives both the content and its spatial context.
• The resulting data is supplied to the AI in two parts: a schema describing the data format, and the actual Layout Data for the document.

Configuration:

• Use the 'Quote Extractor' property to optionally filter or target specific content within the document. If not set, the entire document's layout is included.

Use Cases:

• Providing the AI with a complete map of the document's structure for tasks such as layout analysis, table extraction, or visual question answering.
• Enabling advanced AI workflows that require knowledge of both content and its position on the page.

Properties

Name	Type		Description
Quote Extractor	Value Extractor	►	An extractor which matches quotes from the document to be supplied to the AI. 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 'Quote Extractor' property to a Value Extractor to target specific content within the document. When specified, only the matched content and its layout information will be included in the output. If not set, the Layout Data for the entire document is provided.

See Also

Value Extractor

Used By

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