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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:

  1. Visit the Request Account page and fill out the request form.
  2. After submitting the form, you will receive an email from asking you to confirm your email address.
    • You must confirm your email address for your login to be approved.
  3. Your request will be reviewed for approval.
    • You must be an active Grooper client or partner 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 (,, etc.) will always be rejected.
  4. Upon approval, you will receive a second email from with a temporary password.
  5. Log into the Grooper Wiki using this temporary password. After which, you will be prompted to enter a new password of your choosing.
  6. You're done! At this point you will have an active Grooper Wiki account and can view our catalog of articles.
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.

See How One of the Southwest’s Top Credit Unions Leverages Financial Document Automation & Saves Thousands of Hours

While other credit unions rely on tedious and error-prone manual data entry (or sub-par software) to input member information into their systems, Del Norte Credit Union has been using modern Financial Document Automation since 2018 to easily get member data off of dozens of kinds of documents – and improving the member experience.

As a financial institution with many branch offices and thousands of members, Del Norte has built a better digital banking experience that provides excellent service and ever-improving technology.

In this financial document automation case study, discover:

  • How many thousands of hours of painstaking work a year that the credit union has eliminated
  • The dozens of kinds of financial document forms that are being automated
  • How real financial automation works to improve services for all members

You can access the full case study clicking this link.