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|style="padding-top:8px; padding-bottom:8px; padding-left:16px; padding-right:16px; border-radius: 2px" colspan="2"|'''Getting Started'''
|colspan="4"|'''Getting Started'''
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[[file:Grooper Logo 2x.png|left]]
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.
<p style="font-size:14pt;">
 
'''What is Grooper?'''
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.
<br><br>
 
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.
|[https://xchange.grooper.com/discussion/57/read-me-getting-started Getting Started]
<br><br>
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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.
|[[Install and Setup]]
<br><br>
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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.
|[https://grooper.bisok.com/Documentation/21.0/index.htm#t=Start_Page.htm 2021 Reference and SDK Documentation]
<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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''Interested in what's new?''
<br>
[[What's New in Grooper 2024]]
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''Need Grooper installers?''
<br>
[https://www.bisok.com/grooper-xchange/downloads-and-resources/ Downloads at Grooper xChange]
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''Need help installing and setting up a Grooper Repository?''
<br>
[[Install and Setup]]
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''Have a Grooper University subscription?''
<br>
[https://learn.grooper.com Grooper University]
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[[File:label-sets-badge-3.png|link=Labeling Behavior|thumb|200px]]
[[File:OpenAI Logo.svg.png|right|thumb|250px|Enhancing Grooper by integrating with modern AI technology.]]
<blockquote style="font-size:14pt">
 
'''[[Labeling Behavior|Label Sets]]'''
<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.


"Label Sets" refers to a variety of document classification and extraction capabilities made possible through the '''''Labeling Behavior'''''.  The '''''Labeling Behavior''''' is a '''Content Type''' '''''Behavior''''' designed to collect and utilize a document's field labels in a variety of ways.  This includes functionality for classification and data extraction.


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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The '''''Labeling Behavior''''' functionality allows Grooper users to quickly onboard new '''Document Types''' for structured and semi-structured forms, utilizing labels as a thumbprint for classification and data extraction purposes. Once the '''''Labeling Behavior''''' is enabled, labels are identified and collected using the "Labels" tab of '''Document Types'''.  These "Label Sets" can then be used for the following purposes:
[[File:Antikythera.jpg|left]]


* Document classification - Using the '''''Labelset-Based''''' Classification Method
Is this a computer?
* Field based data extraction - Primarily using the '''''Labeled Value''''' Extractor Type
* Tabular data extraction - Primarily using a '''Data Table''' object's '''''Tabular Layout''''' Extract Method
* Sectional data extraction - Primarily using a '''Data Section''' object's '''''Transaction Detection''''' Extract Method
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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 Version 2021'''||'''Featured Use Case'''
|style="width:50%"|'''New in Version 2023.1'''||'''Featured Use Case'''
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[[File:Grooper-2021-round.png|thumb|200px|link=https://wiki.grooper.com/index.php?title=What%27s_New_in_Grooper_2021|Welcome to Grooper 2021!]]
[[File:Grooper-Logo-23 1-F.png|right|300px|https://wiki.grooper.com/index.php?title=What%27s_New_in_Grooper_2023.1]]
== Welcome to Grooper 2021! ==


Grooper version 2021 is here!  There's a slew of new features, "under-the-hood" architecture improvements, and simplified redesigns to make this version both easiest to use and provide the most accurate capture capabilities to date.
Grooper version 2023.1 is here!  This version continues to put Grooper at the forefront of intelligent document processing.


<br clear=all>


New feature improvements include:
Improvements include:


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* Expanded web client functionality
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** Including "light mode" theming and improved scripting capabilities!
[[File:behaviors-badge-3.png|link=Behaviors]]
* New "Secondary Types" functionality
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** Assign multiple Document Types to Grooper documents!
* [[Behaviors]]
* EDI and XML schema integrations
** This new set of features centralizes the '''Content Model''' as the logical hub of document processing, allowing for new functionality and expanding and simplifying set up of existing functionality.
** Easily process files using EDI and XML schemas!
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* Increased '''Review''' capabilities in the web client
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* Improvements to Grooper's table extraction, label set functionality, lookup capabilities, and more!
[[File:label-sets-badge-3.png|link=Labeling Behavior]]
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* [[Labeling Behavior|Label Sets]]
** A new way of document classification and extraction using labels.
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[[File:smart-pdf-badge-3.png|link=PDF Data Mapping]]
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* [[PDF Data Mapping|Smart PDFs]]
** New PDF generation functionality (via the ''PDF Data Mapping'' '''''Behavior'''''), including embedding extracted data directly to PDF files.
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[[File:rules-engine-badge-3.png|link=Data Rule]]
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* [[Data Rule|Rules Engine]]
** The '''Data Rule''' is a new object designed for hierarchical conditional validation and calculation of '''Data Elements''' in a '''Data Model'''.  This "Rules Engine" drives complex data validation and calculations never before possible in Grooper.
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[[File:api-badge-3.png]]
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* Document Ingestion API
** Integration of a new RESTful document ingestion API provides the ability to create and populate batches, and the ability to monitor the status of batch processes, and retrieve results.
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[[File:Value-reader-badge-3.png|link=Value Reader]]
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* [[Value Reader]]
** A new data extraction object, designed to centralize all of Grooper's extraction functionality into a single object, including its pattern-based, OMR, and zonal types of extraction.
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For more information on these and other improvements, visit the [[What's New in Grooper 2021]] article.


For more information on these and other improvements, visit the [[What's New in Grooper 2023.1]] article.
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[[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/]]
[[File:Banking-financial-document-automation.png|200px|right|link=https://www.bisok.com/case-studies/financial-document-automation/]]


<blockquote style="font-size:14pt">
<blockquote>
'''They’re Saving Over 5,000 Hours Every Year in Data Discovery and Processing'''
'''See How One of the Southwest’s Top Credit Unions Leverages Financial Document Automation & Saves Thousands of Hours'''
</blockquote>
</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.


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.
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.
 
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!


[https://www.bisok.com/case-studies/electronic-data-discovery-case-study/ You can access the full case study clicking this link].
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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Latest revision as of 00:57, 23 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"