Extracted

Selects all or part of the document, optionally applying preprocessing options.

Remarks

The Extracted quoting method provides a flexible way to control what content from a document is supplied as a quote to the AI model.

This method is designed for scenarios where you want to include only specific portions of a document, or to apply preprocessing to the content before it is sent to the AI.

Configuration and Use:

• Use the 'Quote Extractor' property to specify a Value Extractor. All values matched by the extractor will be concatenated and used as the quote. This is useful for targeting specific fields, patterns, or regions within a document.
• If 'Quote Extractor' is not set, the entire document is quoted, making this method suitable for both targeted and full-document quoting.
• The 'Preprocessing' property allows you to apply text preprocessing options, such as tab or paragraph marking. This can help the AI model better interpret tabular data, lists, or natural language by making structural elements explicit in the text.
• The 'Document Level' property determines whether extraction is performed on the entire Document Instance or on a specific field or section. Enable this option to ensure extraction covers the whole document context.

Typical Use Cases:

• Supplying only the most relevant extracted values to the AI, reducing prompt size and focusing the model's attention.
• Improving AI understanding of complex layouts (such as tables) by marking tabs or paragraphs.
• Quoting the entire document when no extractor is specified, with or without preprocessing.

How It Works:

When invoked, the method:

1. Determines the extraction scope based on the 'Document Level' property.
2. Runs the specified Value Extractor (if any) to collect matching content, or uses the full document if not set.
3. Applies preprocessing if configured.
4. Concatenates the results and supplies them as the quote to the AI model.

This approach enables precise control over what information is provided to the AI, supporting both simple and advanced quoting strategies.

Properties

Name	Type		Description
Quote Extractor	Value Extractor	►	An extractor which matches quotes from the document. 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. All hits from this Value Extractor will be concatenated together and supplied to the AI as a document quote. If 'Quote Extractor' is not set, the entire document is quoted.
Preprocessing	Text Preprocessor	►	Specifies preprocessing options to apply to document content before it is submitted to the AI. EditorObject Properties Editor ConverterExpandable Converter Preprocessing options such as tab marking or paragraph marking can help the AI model interpret tabular data or natural language more clearly. Set the 'Preprocessing' property to control these behaviors.
Document Level	Boolean	►	Specifies that the extractor should be run at the document level. DefaultFalse When enabled, extraction is performed on the entire Document Instance rather than a specific field or section.

See Also

Value ExtractorText Preprocessor

Used By

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