Technical Support

Kofax TotalAgility Hotfix: Scanning completed with error: VRS license is missing or invalid

If you are scanning images with Kofax TotalAgility and using Image Enhancements, you will likely need a patch to the Kofax Web Capture Service. You can see the information and download the patch from this Kofax Knowledgebase Article:

Your users may be getting the following error message:

On Kofax TotalAgility 7.3 and 7.4, your error message may look like this:

Note that if you have any Actions that run after scanning is performed, the above error may be suppressed, and you may get errors in downstream Actions that relate to trying to access documents that don’t exist. If you find that you have issues with Actions that execute after scanning, disable them temporarily to see if you are presented with one of the above errors.

If you have any questions, please feel free to reach out to us at


The Idea behind Good Data

Over the past 20 years, the document capture and business process automation industries have repositioned itself many times over to capture the mindshare (and hopefully wallet-share) of consumers — mostly large enterprises and the “mid-market”, whose definition is quite elusive. We’ve used terms like “optical character recognition”, “capture”, and even “intelligent capture” to try to describe what we do for customers: We make it easy to find and act upon data and other content.

That’s the idea behind Good Data. Good data is just the right amount of data to improve or automate a business process. Here are a couple of examples:

Accounts Payable: Good data is taking emails from your vendors, automatically pulling documents from the attachments, identifying the document types, extracting key information, running business rules, and delivering the documents and data to your accounting system. The end result is an invoice that is ready for approval or payment. This will help reduce data entry costs and cut down on vendor churn.

Mortgage Underwriting: Good data is taking three years of a borrower’s tax filings, identifying the different tax forms, extracting key information, running business rules, and delivering the documents and data to your underwriting system. The end result is a quick evaluation and risk assessment. This will help speed up the underwriting process and make your business more competitive.

How can Good Data improve company economics?

Increase Revenue: Improve customer satisfaction by speeding up and standardizing business processes. Improve competitiveness by promising and delivering on quicker turn-around times compared to peers in your industry.

Reduce and Control Costs: Reallocate employees from data entry to performing higher-value tasks. Reduce or eliminate spend in outsourced data entry. Streamline your email workflows and eliminate additional printing costs by using a digital workflow.

Increase Productivity: Give knowledge workers access to the right data at the right time so they can make the right decision. Reduce or eliminate repetitive tasks like data entry, workflow routing, or simple business rule evaluation. Index documents in your content management system using tags and categories that will make content easier to retrieve.

Improve Compliance: Shine a light on the “dark data” that you have within your company walls. Catalog the documents and data you have for your customers so you are able to retrieve them when needed or purge them when their retention period has passed.


Capture Explained in 1 Minute

Each vendor and analyst has a different definition for Capture. Here’s mine:

“Capture is a process that takes a document as input and produces actionable data as output.”

The term “actionable data” is relative to who or what is taking action. Let’s take Accounts Payable as an example. An Accounts Payable department pays invoices. In order to pay an invoice, the accounting system needs to know who the invoice is from, the amount due on the invoice, and when it needs to be paid. So in this case, “actionable data” includes the vendor name, invoice total and due date. These pieces of data are also referred to as “fields” or “metadata.” The part of the process where metadata is produced is typically called extraction.

In some cases, you might not know what type of document you have. This might happen if you receive different types of documents through physical mail, email, fax, etc. The part of the process where you determine the type of document is typically called classification.

Capture is an important tool for businesses to shorten the time from when they receive the document to when they can act on it.