Dgreenwood: Created page with "{{stubs}} The following is a placeholder taking from the Grooper Release Notes. More information on this topic can be found on your Grooper install's Help page. AI Transaction Detection: New LLM-enabled Section Extract Method * A “transaction” is a repeating data structure on a document, such as employee records in payroll reports or claims in an EOB. * This is a specialized AI-powered section extract method designed for documents containing multiple, similarly str..."

2025-09-09T18:23:43Z

Created page with "{{stubs}} The following is a placeholder taking from the Grooper Release Notes. More information on this topic can be found on your Grooper install's Help page. AI Transaction Detection: New LLM-enabled Section Extract Method * A “transaction” is a repeating data structure on a document, such as employee records in payroll reports or claims in an EOB. * This is a specialized AI-powered section extract method designed for documents containing multiple, similarly str..."

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{{stubs}}
The following is a placeholder taking from the Grooper Release Notes. More information on this topic can be found on your Grooper install's Help page.

AI Transaction Detection: New LLM-enabled Section Extract Method
* A “transaction” is a repeating data structure on a document, such as employee records in payroll reports or claims in an EOB.
* This is a specialized AI-powered section extract method designed for documents containing multiple, similarly structured transactions that may not be separated by explicit page breaks or static delimiters.
*AI Transaction Detection’s core is its “anchor-based boundary detection”.
**The LLM is presented with a “detection window” (the starting N pages of the document) and is asked to identify a set of “anchor” features.
**Anchors could be static text labels, regular expressions or other structured patterns that reliably indicate where each transaction starts.
**The anchors are then matched against each line of the document, and each line is given a score based on how many anchors are matched. Lines must meet a minimum threshold to be considered a boundary point.
**For each detected boundary, a new section instance is created, representing a single transaction.
*AI Transaction Detection differs from AI Collection Reader in how section boundaries are detected and then extracted.
**AI Collection Reader splits the document into chunks of N pages and runs extraction on each chunk.
***Issues can occur where sections span pages.
***Works for a wide variety of documents.
**AI Transaction Detection splits the document into transactions, then runs extraction on each transaction.
***Handles sections that span pages well.
***Specialized for transaction-based documents.

AI Transaction Detection - Revision history