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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.

Getting Started
Install and Setup
2.90 Reference Documentation


Featured Articles Did you know?
Native text for Microsoft Office applications is a powerful data integration tool in Grooper.

Microsoft Office Integration

Microsoft Office integration allows a Grooper user to leverage the native text of files generated in the Microsoft Office Suite such as Microsoft Word documents and Microsoft Excel spreadsheets. This feature can pull the native text from and perform type-specific activities on these files.

Supported File Types

  • Microsoft Word documents (.doc and .docx)
    • For Word documents, you can generate a Grooper-usable document with the Execute activity, using the Word to PDF command for the Word Document object type. The PDF will contain all the native text from the Word document, obtainable for further Grooper processing using the Recognize activity.
  • Microsoft Excel spreadsheets (xls and xlsx)
    • For Excel documents, you can generate a Grooper-usable document with the Execute activity, using the Excel to CSV command for the Excel Document object type. CSV files are natively readable by Grooper in version 2.90. The Recognize activity is not required.

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 2.9 Featured Use Case

Welcome to Grooper 2.9!
Below you will find helpful links to all the articles about the new/changed functionality in this version of Grooper.

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Compile Stats Microsoft Office Integration Document Viewer Separation and Separation Review
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Data Review Confidence Multiplier Data Element Overrides Database Export
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CMIS Lookup Content Type Filter Output Extractor Key Box (CMIS Binding)
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LINQ to Grooper Objects
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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.

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