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|colspan="4"|'''Getting Started'''
|style="padding-top:8px; padding-bottom:8px; padding-left:16px; padding-right:16px; border-radius: 2px" colspan="2"|'''Getting Started'''
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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.
[[file:Grooper Logo 2x.png|left]]
 
<p style="font-size:14pt;">
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.
'''What is Grooper?'''
 
<br><br>
|[https://xchange.grooper.com/discussion/57/read-me-getting-started Getting Started]
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.
|-style="background-color:#fde6cb" valign="top"
<br><br>
|[[Install and Setup]]
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.
|-style="background-color:#fde6cb" valign="top"
<br><br>
|[https://grooper.bisok.com/Documentation/2.90/Main/HTML5/index.htm#t=Start_Page.htm 2.90 Reference Documentation]
Grooper was built from the ground up by BIS, a company with 35 years of continuous experience developing and delivering new technology.
<br><br>
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.
</p>
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''New to the Grooper Wiki?''
<br>
[[Special:RequestAccount|Request an account]]
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|style="padding-top:8px; padding-bottom:8px; padding-left:16px; padding-right:16px; border-radius: 2px"|
''Interested in what's new?''
<br>
[[What's New in Grooper 2024]]
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|style="padding-top:8px; padding-bottom:8px; padding-left:16px; padding-right:16px; border-radius: 2px"|
''Need Grooper installers?''
<br>
[https://www.bisok.com/grooper-xchange/downloads-and-resources/ Downloads at Grooper xChange]
|-style="background-color:#fde6cb" valign="center"
|style="padding-top:8px; padding-bottom:8px; padding-left:16px; padding-right:16px; border-radius: 2px"|
''Need help installing and setting up a Grooper Repository?''
<br>
[[Install and Setup]]
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|style="padding-top:8px; padding-bottom:8px; padding-left:16px; padding-right:16px; border-radius: 2px"|
''Have a Grooper University subscription?''
<br>
[https://learn.grooper.com Grooper University]
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[[File:Data-section-page-icon.png|right|link=Data Section]]
[[File:OpenAI Logo.svg.png|right|thumb|250px|Enhancing Grooper by integrating with modern AI technology.]]


<blockquote style="font-size:14pt">
<blockquote>
'''[[Data Section]]'''
[[GPT Integration]]
</blockquote>
</blockquote>
[https://openai.com/ OpenAI GPT] integration in '''Grooper''' allows users to leverage modern AI technology to enhance their document data integration needs.


'''Data Sections''' are '''[[Data Element]]s''' of a '''[[Data Model]]'''.  They allow a document's content to be subdivided into smaller portions (or "sections") for further processing, yielding the extraction process higher efficiency and accuracy.


Often, they are used to extract repeating sections of a document. For example, if a document had several sections of data for different customers, a '''Data Section''' could be used to pull data for each customer.  This is especially useful for situations where the data within the section is predictable, but the number of sections in the document is not (i.e. if one document has one customer's data listed but the next has five, the next has two, and so on and so on). 
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 functionality will allow for users to explore and find creative solutions for processing their documents using this advanced technology.
 
|
'''Data Sections''' can also be used to:
 
* Organize data from complex documents
* Make a hierarchical representation of a document's structure, or
* Reorder content from multiple columns on a page.


'''Data Sections''' may have, as its children:
[[File:Antikythera.jpg|left]]


* '''[[Data Field]]s'''
Is this a computer?
* '''[[Data Table]]s'''
* Their own '''Data Sections'''
|
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.
Maybe!  This is an artifact known as the "Antikythera mechanism".  Discovered in a shipwreck off the coast of the Greek island Antikythera in 1901, it is thought to be the oldest known example of an analogue computer.


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.
The instrument is a device called an "orrery", a mechanical model of the Solar System used to predict the motions of the planets and Earth's moon.  The shipwreck it was found it has been dated to occurred between 70 and 60 BC. However, the Antikythera mechanism itself may be as old as 205 BC!
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|style="width:50%"|'''New in 2.9'''||'''Featured Use Case'''
|style="width:50%"|'''New in Version 2023.1'''||'''Featured Use Case'''
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[[File:Grooper-Logo-23 1-F.png|right|300px|https://wiki.grooper.com/index.php?title=What%27s_New_in_Grooper_2023.1]]
!colspan="4" style="padding: 25px" | <blockquote style="font-size:14pt">Welcome to '''Grooper 2.9'''!<br/>Below you will find helpful links to all the articles about the new/changed functionality in this version of '''Grooper'''.</blockquote>
|-
|[[Image:Compile_stats_02.png|center|200px|link=Compile Stats]]
|[[Image:Microsoft_office_integration_000.png|center|200px|link=Microsoft Office Integration]]
|[[Image:document_viewer_00.png|center|150px|link=Document Viewer]]
|[[Image:Separation_and_review_18.png|center|175px|link=Separation and Separation Review]]
|-
|style="text-align:center"|'''[[Compile Stats]]'''
|style="text-align:center"|'''[[Microsoft Office Integration]]'''
|style="text-align:center"|'''[[Document Viewer]]'''
|style="text-align:center"|'''[[Separation and Separation Review]]'''
|-
|[[Image:data_review_00.png|center|200px|link=Data Review]]
|[[Image:Weighted_rules_00.png|center|200px|link=Confidence Multiplier]]
|[[Image:Data_element_overrides_000.png|center|150px|link=Data Element Overrides]]
|[[Image:Database_export_002.png|center|200px|link=Database Export]]
|-
|style="text-align:center"|'''[[Data Review]]'''
|style="text-align:center"|'''[[Confidence Multiplier]]'''
|style="text-align:center"|'''[[Data Element Overrides]]'''
|style="text-align:center"|'''[[Database Export]]'''
|-
|[[Image:Cmis_lookup_002.png|center|200px|link=CMIS Lookup]]
|[[Image:Content_type_filter_000.png|center|100px|link=Content Type Filter]]
|[[Image:Output_extractor_key_000.png|center|200px|link=Output Extractor Key]]
|[[Image:box_cmis_binding_000.png|center|200px|link=Box (CMIS Binding)]]
|-
|style="text-align:center"|'''[[CMIS Lookup]]'''
|style="text-align:center"|'''[[Content Type Filter]]'''
|style="text-align:center"|'''[[Output Extractor Key]]'''
|style="text-align:center"|'''[[Box (CMIS Binding)]]'''
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|colspan="4"|[[Image:Linq_to_grooper_objects_001.png|center|200px|link=LINQ to Grooper Objects]]
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|colspan="4" style="text-align:center"|'''[[LINQ to Grooper Objects]]'''
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|
Grooper version 2023.1 is here!  This version continues to put Grooper at the forefront of intelligent document processing.
[[File:American-airlines-credit-union-financial-services-document-data-capture-integration-grooper.jpg|400px|right|link=https://www.bisok.com/case-studies/electronic-data-discovery-case-study/]]


<blockquote style="font-size:14pt">
'''They’re Saving Over 5,000 Hours Every Year in Data Discovery and Processing'''
</blockquote>


Improvements include:


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.
* Expanded web client functionality
** Including "light mode" theming and improved scripting capabilities!
* New "Secondary Types" functionality
** Assign multiple Document Types to Grooper documents!
* EDI and XML schema integrations
** Easily process files using EDI and XML schemas!
* Increased '''Review''' capabilities in the web client
* Improvements to Grooper's table extraction, label set functionality, lookup capabilities, and more!


Discover how they:


* Quickly found 40,000 specific files among one billion
For more information on these and other improvements, visit the [[What's New in Grooper 2023.1]] article.
* 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!)
[[File:Banking-financial-document-automation.png|200px|right|link=https://www.bisok.com/case-studies/financial-document-automation/]]
* Learn from the document and electronic data discovery experts at BIS!


[https://www.bisok.com/case-studies/electronic-data-discovery-case-study/ You can access the full case study clicking this link].
<blockquote>
|}
'''See How One of the Southwest’s Top Credit Unions Leverages Financial Document Automation & Saves Thousands of Hours'''
==== <span style="color:white">Feedback</span> ====
</blockquote>


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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.
|-style="background-color:#36b0a7; color:white; font-size:16pt"
|colspan=2|'''Feedback'''
|-style="background-color:#d8f3f1" valign="center"
|style="width:25%"|
[[File:Gartner pi.jpg|link=https://www.gartner.com/reviews/market/data-and-analytics-others/vendor/bis/product/grooper]]
|
<span style="font-size:14pt">We value your feedback!<br><br>Help us improve our product by leaving us a review on [https://www.gartner.com/reviews/market/data-and-analytics-others/vendor/bis/product/grooper Gartner.com].<br><br>Click the image to the left to submit a review.</span>
|}


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
[https://www.bisok.com/case-studies/financial-document-automation/ You can access the full case study clicking this link].
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|colspan="4"|'''Other Resources'''
|colspan="4"|'''Other Resources'''
|-style="background-color:#d8f3f1" valign="top"
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* [https://xchange.grooper.com Grooper x Change]
* [https://xchange.grooper.com Grooper x Change]
* [https://xchange.grooper.com/categories/downloads-and-resources Grooper Downloads] - Including Grooper installer files
* [https://xchange.grooper.com/categories/downloads-and-resources Grooper Downloads] - Including Grooper installer files
* [https://www.bisok.com/grooper-data-integration-platform/ Grooper.com]
* [https://www.bisok.com/grooper-data-integration-platform/ Grooper.com]
|style="width:25%"|
|style="width:33%"|
* [https://grooper.bisok.com/Documentation/21.0/index.htm#t=Start_Page.htm 2021 Reference and SDK Documentation]
* [https://grooper.bisok.com/Documentation/21.0/index.htm#t=Start_Page.htm 2021 Reference and SDK Documentation]
* [https://grooper.bisok.com/Documentation/2.90/Main/HTML5/index.htm#t=Start_Page.htm 2.90 Reference Documentation]
* [https://grooper.bisok.com/Documentation/2.90/Main/HTML5/index.htm#t=Start_Page.htm 2.90 Reference Documentation]
* [http://grooper.bisok.com/Documentation/2.80/Main/HTML5/index.htm#t=Start_Page.htm 2.80 Reference Documentation]
|style="width:33%"|
* [http://grooper.bisok.com/Documentation/2.80/SDK/HTML5/index.htm#t=Developer_Reference.htm 2.80 SDK Documentation]
|style="width:25%"|
* [https://blog.bisok.com/webinars Webinars and Video]
* [https://blog.bisok.com/webinars Webinars and Video]
* [https://www.bisok.com/white-papers/ BIS White Papers]
* [https://www.bisok.com/white-papers/ BIS White Papers]
* [https://www.bisok.com/case-studies/ Case Studies]
* [https://www.bisok.com/case-studies/ Case Studies]
* [https://go.bisok.com/learning-center BIS Blog]
* [https://go.bisok.com/learning-center BIS Blog]
|style="width:25%"|
* [[ACE Training Schedule]]
* [https://go.bisok.com/first-tuesday-grooper-technical-user-group First Tuesday User Group Signup]
|}
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Latest revision as of 13:57, 22 October 2024

Getting Started

What is Grooper?

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.

Grooper was built from the ground up by BIS, a company with 35 years of continuous experience developing and delivering new technology.

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.

New to the Grooper Wiki?
Request an account

Interested in what's new?
What's New in Grooper 2024

Need Grooper installers?
Downloads at Grooper xChange

Need help installing and setting up a Grooper Repository?
Install and Setup

Have a Grooper University subscription?
Grooper University

Retrieved from "https://wiki.grooper.com/index.php?title=Main_Page&oldid=26459"