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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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|[https://grooper.bisok.com/Documentation/2.90/Main/HTML5/index.htm#t=Start_Page.htm 2.90 Reference Documentation]
|[https://learn.grooper.com Grooper University]
|}
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[[File:OpenAI Logo.svg.png|right|thumb|250px|Enhancing Grooper by integrating with modern AI technology.]]


[[File:Output_extractor_key_000.png|right|link=Output Extractor Key]]
<blockquote>
[[GPT Integration]]
</blockquote>
[https://openai.com/ OpenAI GPT] integration in '''Grooper''' allows users to leverage modern AI technology to enhance their document data integration needs.


<blockquote style="font-size:14pt">
'''[[Output Extractor Key]]'''
</blockquote>


'''''Output Extractor Key''''' is a property on a the '''[[Data Type]]''' extractor. It is exposed when the '''''[[Collation]]''''' property is set to ''Individual''. When the '''''Output Extractor Key''''' is set to ''True'', each output value will be set to a key representing the name of the extractor which produced the match. It  is useful when extracting non-word classification features.
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.
<br/><br/>
The main purpose of this property is to supplement the capabilities of '''Grooper's''' classification technology. When using ''Lexical'' classification, a '''Content Model''' must use an extractor to collect the lexical features upon training. A common use case is to have the extractor collect words, which is beneficial when the semantic content of a document is varied among examples, and indicative of their type. However, this breaks down when a document consists mainly of repeated types of information. Take, for example, a bank statement. With no keywords present on the document, the only way to properly classify the document is to recognize that it contains a high frequency of transaction line items. It would be highly impractical to train '''Grooper''' to understand every variation of a transaction line item.
<br/><br/>
This is where the '''''Output Extractor Key''''' property comes into play. In using this property one can establish an extractor that will pattern match the various transaction line item formats on the document, and return A SINGLE output for each result, such as "feature_transaction", instead of the myriad returned results from the pattern match. This is then fed to the classification engine. With this approach a document containing a high frequency of "transaction" features, let's say ... 50, will be treated as though it contained 50 separate occurrences of the phrase "feature_transaction".
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You can now manually manipulate the confidence of an extraction result.  The '''''[[Confidence Multiplier and Output Confidence]]''''' properties of '''[[Data Type]]''' and '''[[Data Format]]''' extractors allow you to change the confidence score of extraction results.  No longer are you forced to accept the score Grooper provides.  These properties give you more control when it comes to what confidence a result ''should'' be.


This allows you to prioritize certain results over others.  You can create a kind of "fall back" or "safety net" result by using this property.  You can even ''increase'' the confidence of an extractor's result, allowing you to give more weight to a fuzzy extractor's result over a non-fuzzy one, for example.
[[File:Antikythera.jpg|left]]


For more information visit, the [[Confidence Multiplier and Output Confidence]] article.
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!
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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>
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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'''
|-style="background-color:#d8f3f1" valign="top"
|-style="background-color:#d8f3f1" valign="top"
|style="width:25%"|
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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]
* [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]
|style="width:25%"|
* [[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"