The Microsoft Syntex AI model type Structured Document Processing model (previously known as Forms Processing) has had some significant updates which were launched as part of Microsoft Syntex. In my opinion the biggest update is Structured Document Processing models now allows models to be reused across libraries and sites.
A new Microsoft Syntex AI document processing model was recently released called freeform which purpose is to automatically extract information from unstructured and freeform documents such as letters, contracts or correspondence. Initially I was a little confused with the new freeform model type and what scenario you would use it for, so I needed to test it out & learn. My key confusion was what exactly are "freeform" documents and seeing which documents would work best with the model? I will attempt to answer this question in this blog along with introducing the freeform model and other Syntex model renaming changes.
One of the most exciting new features I have used recently is the ability to train SharePoint Syntex forms processing to extract rows of data from a table where the row count is variable. Before you could not extract table data from a form where the number of rows was variable and the table size varied. Read on for a guide on how to implement this in your organisation.