Tag Archives for " OCR "

Fully Automate Claims Processing Beyond OCR

Organizations, from healthcare to insurance to government agencies must process claims that arrive from all points of capture. Because it is difficult to control the scanning process for claims, the result is images of all types with variances of either scale or image resolution. In addition, supporting documentation may accompany a claim form. This makes […]

Read more

RPA Solution at Call Center Improves Service and Pays for Itself in a Year

 Technology leaders are jumping on the Robotics Process Automation (RPA) technology bandwagon for good reason. It yields tremendous value in a myriad of business and industry sectors. RPA automates repetitive manual tasks performed by human workers, so their time can be used in higher value responsibilities. Because manual actions occur in so many different business […]

Read more

Save Time and Money With Advanced Capture

Does your organization waste valuable time and resources to manually prep documents? Are you tired of manually typing in data which oftentimes isn’t inputted accurately and error-free? If you want to venture away from these tedious slow processes, there are solutions out there! Advanced capture technologies will streamline and automate the transformation of documents into […]

Read more

Indexing Tables in Kofax-Based Environments

We recently had a customer who needed to migrate off of an aging and highly customized Capture/indexing/workflow one-off solution. At the center of many of their form types in this system was a repeatable field collection object that functioned much like how you would expect a .NET DataTable control to function – values could be […]

Read more

10 Ways to Improve Capture OCR and Indexing

The recognition phase of capture may seem to be the most important step relevant to automated indexing – since it is, after all, the phase where OCR is performed. But at least half of the factors relevant to successful indexing occur during the pre-recognition steps, particularly in obtaining appropriate image quality for OCR and indexing.

Read more
1 2 3 4