Acquiring automation solutions often means conducting a Proof of Concept or evaluation because technology solutions are often too complex to assess simply by comparing a list of features. Find out how to conduct a successful PoC here.
With Software-defined IDP, Is Gathering Input Data Really A Problem?
Now that Software-defined Intelligent Document Processing (IDP) is here, is gathering input data really that big of a problem? Find out here.
Intelligent Document Processing (IDP): I’ve got a dirty little secret
Here’s a dirty, little secret about IDP software vendor claims and how to truly automate document-oriented tasks.
Document-driven RPA Requires Best Possible IDP Solution
RPA adopters eager to expand RPA to automate more complex tasks requiring humans to open and read documents are looking to intelligent document processing.
Ensuring Accurate Data Extraction & Ground Truth Data
Parascript is working with more and more service providers that need to perform data extraction, which must be as accurate as possible to ensure business operations are successful and dependable. This article delves into how service providers best ensure accurate data extraction and ground truth data.
Data Extraction Best Practices in Document Management
Best practices in document management—when approaching a document management challenge that necessitates data extraction—require fully understanding the types of documents involved. The “nature” of the document is fundamental in determining the most appropriate technologies and techniques to use. For example, OCR cannot provide a comprehensive solution in many cases. Instead, OCR acts as the underlying, supporting technology that aids with producing a final result.
Five Key Classification Steps to Achieve Efficient Data Governance
Here we cover how to address the problems posed by a legacy system that has inadequate metadata in terms of both detail as well as coverage. Existing document types don’t have the metadata needed to support efficient governance and use, and new document types need to be created. Unless an organization is familiar with the […]
How to Choose the Right Threshold
Selecting the right threshold for a specific application is very important as it determines the accuracy of the accepted answers and the amount of manual labor required. Finding this threshold requires some work, but it will definitely pay off. How does it work? When performing recognition or verification, the software evaluates an image and provides […]
3 Ideas to Optimize New Account Application Form Processing
“There’s no business like new business!” Or perhaps better said, “there’s no more expensive business than new business!” In most businesses, developing and onboarding new business takes a lot more effort than retaining or growing existing business. That’s part of the reason so much attention has been turned to customer loyalty, retention, and engagement. Regardless, […]
Form Design Enhancements to Maximize Capture and Recognition
Form design plays a critical role in the success of capture and recognition. Using the right design elements significantly impacts speed and improves accuracy rates, just as incorrectly designed forms result in increased manual processing. While these days most forms are available online allowing users to fill out the information directly on the computer, there […]
3 Basic Rules for Capturing Clean Images
Image capture is the first step to successful document recognition. Image capture might not be under your control, but if it is, here are 3 simple rules to follow:
Don’t Have Drop Out Forms? Use Template Removal!
A great way to improve recognition results in general is to use a drop out form whenever possible. These forms are printed with ink that can be “dropped out” by the scanner during image capture (usually red). What you’re left with is a nice white page with nicely positioned data. Using drop out templates is […]