There is a little-known feature called “Export Credentials Management”, where you can update your export credentials all in one place instead of going into each export connector setup for each batch class. The following information is taken from the Kofax Capture 11.1 Help Guide.
Automatically extracting processable data from business documents, whether they have the structure of a form or not, is key to business efficiency. Costs associated with manually converting documents to data are significant, and human error rates guarantee a level of expensive rework. Industries have standards for electronically exchanging data, but the market, for reasons known and unknown, still relies on exchanging documents, forcing every business to bear the cost of data entry or implement document automation to control those costs. That’s where machine learning comes in.
A key financial process for any business is getting the check in the bank. Leaving customer payments laying around is literally leaving money on the table. The faster payments are credited to your accounts, the better your overall cash flow.
Today’s transactional systems make the concept of real-time updates a reality. Such updates are mandatory for systems like online ordering, where prospective customers want to know whether an item is in stock. However, for other systems—financial systems in particular—real-time updates create challenges when comparing the value of a set of transactions on one system with the value of the duplicate transactions on another system. The values must match; if they do not, someone must track down the issue. We all have struggled with balancing a personal checking account statement, and these systems are no different, except that the scale of the challenge can be much, much more significant.
9/19/22 - Kofax VRS 220.127.116.11 (5.2, Fix Pack 11)
Kofax Transformation’s Table Locator is a powerful tool for extracting data presented on a document in table form. Simply align the column headings with project data fields, and, at least in many cases, data falls into the correct columns and rows. However, document tables commonly seen in some industries tend not to follow the rules of rows and columns. Single table rows consist of many lines. Data elements do not align with column headings. Row beginnings and endings vary. Essentially, each table row becomes its own miniature document.
Document automation applications often have straightforward requirements. An ingested item belongs to a specific class, and that class includes particular property values. Validation rules are simple both for extracted and data-entered values. Basic features in Kofax TotalAgilityTM (KTA) Forms easily take care of typical situations and occasional departures from the process.
Healthy Classification and Extraction Models are Key to Performance in Kofax Transformation Projects
You finally completed the document automation project. The model is trained, the rules are in place, the validation routines are validating, and documents are running through the system. So, all is well, right?
With the latest releases of Kofax TotalAgility® and Kofax Capture, Kofax is including Kofax Transformation (KT) 7.0. One of the key changes with that release is that Kofax has deprecated three of the recognition engines—the software that converts images of text to processable text data—you may be familiar with and may be using.