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ATTENTION GROOPER WIKI USERS Visitors to the Grooper Wiki must have an account in order to read articles. If you do not have an account, you can request one by performing the following steps: Visit the Request Account page and fill out the request form. After submitting the form, you will receive an email from bismail@bisok.com asking you to confirm your email address. You must confirm your email address in order for your login to be approved. Your request will be reviewed for approval. You must be an active Grooper client or partner in order for your account to be approved. You must sign up using an email address from an active Grooper client or partner. Requests from personal accounts (gmail.com, yahoo.com, etc.) will always be rejected. Upon approval, you will receive a second email from bismail@bisok.com with a temporary password. Log into the Grooper Wiki using this temporary password. After which, you will be prompted to enter a new password of your choosing. You're done! At this point you will have an active Grooper Wiki account and be able to view any article.

Getting Started
Grooper was built from the ground up by BIS, a company with 35 years of continuous experience developing and delivering new technology. Grooper is an intelligent document processing and digital data integration solution that empowers organizations to extract meaningful information from paper/electronic documents and other forms of unstructured data. The platform combines patented and sophisticated image processing, capture technology, machine learning, natural language processing, and optical character recognition to enrich and embed human comprehension into data. By tackling tough challenges that other systems cannot resolve, Grooper has become the foundation for many industry-first solutions in healthcare, financial services, oil and gas, education, and government.	Downloads at Grooper X Change
	Install and Setup
	Grooper University

Featured Articles

Did you know?

Enhancing Grooper by integrating with modern AI technology. GPT Integration OpenAI GPT integration in Grooper allows users to leverage modern AI technology to enhance their document data integration needs. OpenAI's GPT model has made waves in the world of computing. Our Grooper developers recognized the potential for this to grow Grooper's capabilities. Adding its funcionality will allow for users to explore and find creative solutions for processing their documents using this advanced technology.

The earliest examples of OCR (Optical Character Recognition) can be traced back to the 1870s. Early OCR devices were actually invented to aid the blind. This included "text-to-speech" devices that would scan black print and produce sounds a blind person could interpret, as well as "text-to-tactile" machines which would convert luminous sensations into tactile sensations. Machines such as these would allow a blind person to read printed text not yet converted to Braille. The first business to install an OCR reader was the magazine Reader's Digest in 1954. The company used it to convert typewritten sales reports into machine readable punch cards. It would not be until 1974 that OCR starts to form as we imagine it now with Ray Kurzweil's development of the first "omni-font" OCR software, capable of reading text of virtually any font.

New in Version 2023

Featured Use Case

Grooper version 2023 is here! There's a slew of new features, "under-the-hood" architecture improvements, and simplified redesigns to make this version both easiest to use and provide the most accurate capture capabilities to date. New feature improvements include: Expanded web client Permission Sets - A new security architecture for Grooper Custom data review styling with CSS Web services lookups Improved Azure OCR integration GPT integration For more information on these and other improvements, visit the What's New in Grooper 2023 article.

They’re Saving Over 5,000 Hours Every Year in Data Discovery and Processing American Airlines Credit Union has transformed their data workflows, quickly saving thousands of hours in electronic data discovery , resulting in much greater efficiency and improved member services. Discover how they: Quickly found 40,000 specific files among one billion Easily integrated with data silos and content management systems when no other solution would Have cut their mortgage processing time in half (and they process mortgages for 47 branch offices!) Learn from the document and electronic data discovery experts at BIS! You can access the full case study clicking this link.