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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 [[Special:RequestAccount|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 for your login to be approved.
# 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 (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 can view our catalog of articles.
|}
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Grooper is a software application that helps organizations innovate workflows by integrating difficult data.
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.


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.
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.


|[https://xchange.grooper.com/discussion/57/read-me-getting-started Getting Started]
|[https://xchange.grooper.com/categories/downloads-and-resources Downloads at Grooper x Change]
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|[[Install and Setup]]
|[[Install and Setup]]
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|[http://grooper.bisok.com/Documentation/2.80/Main/HTML5/index.htm#t=Start_Page.htm 2.80 Reference Documentation]
|[https://learn.grooper.com Grooper University]
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[[File:separation_and_review_14.png|right|500px|link=Separation and Separation Review|This is an example of the '''Separation Review''' '''Attended Client''' interface.]]
[[File:OpenAI Logo.svg.png|right|thumb|250px|Enhancing Grooper by integrating with modern AI technology.]]
<blockquote style="font-size:14pt">
 
'''[[Separation and Separation Review]]'''
<blockquote>
[[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.


'''Grooper''' uses various approaches and '''[https://en.wikipedia.org/wiki/Algorithm algorithms]''' to determine the classification of a page or folder. The settings on a '''[[Content Model]]''' and '''[[Document Type]]''' add to the complexities for separating pages into documents. Grooper Version 2.9 builds on the '''''Separation''''' settings found on '''Document Types''', including the ability to adjust the '''''Training Scope''''' and configure a '''''Secondary Page Extractor'''''.


Adjusting the '''Training Scope''' provides benefits to the accuracy and performance of '''ESP Auto Separation''' by focusing what is important when it comes time to separate and classify ''Unstructured'' paginated documents. For example, the ''Normal'' mode will create a single '''FormType''' and divide trained examples into "First", "Middle" and "Last" pages.  From individual document to individual document, often the most meaningful features composing them are found on the first and last pages, and there can be more variance on the pages in between.  This is different from the previous approach, which created individual '''FormTypes''' for each trained example, each with their own "Page X of X" '''PageType''' objects.  This unifies all trained examples into a single '''FormType''', making the training and classification of these documents ultimately simpler and more efficient. The ''FirstLast'' mode assumes meaningful features for classification are ''only'' found on the first and last pages, with the middle pages containing no information needed to make a separation or classification decision.  With this mode enabled, ''only'' trained examples of the first and last page and their associated features will be saved.  This can improve processing time by removing all the features in the middle pages for consideration.  The ''FirstOnly'' mode narrows this scope even further by only storing features from the first page of trained documents.
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.
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Furthermore, ESP Auto Separation ''removes'' but does not ''eliminate'' a lot of the manual work to separate and classify documents. Separation Review is a new review module designed to make the manual work quick and easy.
[[File:Antikythera.jpg|left]]


For more information on Separation and Separation Review, visit the full article [[Separation and Separation Review|here]]
Is this a computer?
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The '''Separation Review''' module was added to improve review of complicated document sets separated and classified by '''ESP Auto Separation'''.  Because this Separation Provider separates using page based classification, it can be important to how it made the decision to separate or not separate a document on a page by page basis.  The '''Classify Review''' module presents the reviewer with pages already placed in document folders, and it can be cumbersome to review the page by page separation viewing documents already placed in folders.


Enter '''Separation Review'''. This review module is modeled off our '''ESP Auto Separation Tester''' which Grooper Architects use to test the separation and classification of documents, using '''ESP Separation'''.  This viewer gives you a much broader look at the individual pages, allowing an easier (and ultimately quicker and more efficient) view of the separation logic applied to the batch.
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.


There are further quality of life improvements for the '''Separation Review''' module, making the process of reviewing documents separated and classified by '''ESP Auto Separation''' simpler, faster, and more satisfying.
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>
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|[[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]]
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|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]]'''
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|[[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]]
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|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]]'''
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|[[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)]]
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|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
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* 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>
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'''See How One of the Southwest’s Top Credit Unions Leverages Financial Document Automation & Saves Thousands of Hours'''
</blockquote>
 
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
[https://www.bisok.com/case-studies/financial-document-automation/ You can access the full case study clicking this link].
|}
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|-style="background-color:#36b0a7; color:white; font-size:16pt"
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|colspan="4"|'''Other Resources'''
|colspan="4"|'''Other Resources'''
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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%"|
* [http://grooper.bisok.com/Documentation/2.80/Main/HTML5/index.htm#t=Start_Page.htm 2.80 Reference Documentation]
* [https://grooper.bisok.com/Documentation/21.0/index.htm#t=Start_Page.htm 2021 Reference and SDK Documentation]
* [http://grooper.bisok.com/Documentation/2.80/SDK/HTML5/index.htm#t=Developer_Reference.htm 2.80 SDK Documentation]
* [https://grooper.bisok.com/Documentation/2.90/Main/HTML5/index.htm#t=Start_Page.htm 2.90 Reference Documentation]
|style="width:25%"|
|style="width:33%"|
* [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]
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* [[ACE Training Schedule]]
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Latest revision as of 10:34, 1 April 2024

⚠

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:

  1. Visit the Request Account page and fill out the request form.
  2. 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 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 (gmail.com, yahoo.com, etc.) will always be rejected.
  4. Upon approval, you will receive a second email from bismail@bisok.com 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 functionality will allow for users to explore and find creative solutions for processing their documents using this advanced technology.

Is this a computer?

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.

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!

New in Version 2023.1 Featured Use Case
https://wiki.grooper.com/index.php?title=What%27s_New_in_Grooper_2023.1
https://wiki.grooper.com/index.php?title=What%27s_New_in_Grooper_2023.1

Grooper version 2023.1 is here! This version continues to put Grooper at the forefront of intelligent document processing.


Improvements include:

  • 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!


For more information on these and other improvements, visit the What's New in Grooper 2023.1 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.

Retrieved from "https://wiki.grooper.com/index.php?title=Main_Page&oldid=20512"