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Grooper is a software application that helps organizations innovate workflows by integrating difficult data. Grooper empowers rapid innovation for organizations processing and integrating large quantities of difficult data. Created by a team of courageous developers frustrated by limitations in existing solutions, Grooper is an intelligent document and digital data integration platform. Grooper combines patented and sophisticated image processing, capture technology, machine learning, and natural language processing. Grooper – intelligent document processing; limitless, template-free data integration.	Getting Started
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Graphic depicting the notion of Data Filtering. Content Type Filter Filtering information can allow faster iterating and easier testing. Content Type Filter is a property on the Classify, Extract, and Data Review activities. Its addition was born from the notion that testing and iterating should be as easy as possible in Grooper. This functionality can be useful to test and implement new Document Type additions to your Content Model easily. Instead of running activities like Classify and Extract, using the entire Content Model with all the existing Document Types, you can now use Content Type Filters to restrict these activities to certain Document Types.

You can talk to us! Do you have an idea for an article? Have you noticed something missing from one already in the wiki? Do you have other comments or feedback about the wiki? If so, check out the Documentation Requests section of Grooper x Change. This is your way to communicate with our documentation team. Please, let us know how we can continue to improve our wiki.

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

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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Grooper x Change Grooper Downloads - Including Grooper installer files Grooper.com	2.80 Reference Documentation 2.80 SDK Documentation 2.90 Reference Documentation	Webinars and Video BIS White Papers Case Studies BIS Blog	ACE Training Schedule