Universal Document Automation does not extract check boxes. The Key-Value output field names and values are determined
by the OCR text from the document.
For
Transact
versions prior to 2022.1.01, Universal Document Automation does not work with encrypted batch classes in Linux.
Computer vision is used to identify Key-Value pairs and is language agnostic. The Semantik AI engine is trained
primarily with invoice-type documents and mixed results may occur with other document types. Best results are obtained when
Key-Value pairs are in close proximity to one another.
Simple tables are supported. Complex tables (those that include, but are not limited to, attributes such as multi-row
headers and nested tables) may yield unexpected results.
Tables may be falsely detected or not at all detected because of the nature of machine-learning models.
Tables that span multiple pages of a document are considered to be separate tables.
There are no options to exclude columns or to select specific tables when using Semantik AI Engine.
Semantik AI Engine identifies tables by searching for visual elements such as headers, rows or visible/invisible
boundaries, and other table-like structures.
Universal Document Automation does not support Table Extraction in
Transact
2022.1.00.
Table extraction results from Universal Document Automation and Document Design Accelerator may not match. Universal
Document Automation uses the extraction results from the Semantik AI Engine. Document Design Accelerator aids in the creation of
conventional table extraction rules.
