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Revision as of 09:57, 11 May 2020

Getting Started
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
	Install and Setup
	2.80 Reference Documentation

Featured Articles

Did you know?

Welcome to Grooper's Wiki! We are constantly working to create and improve articles. Check out a few articles we've created below!

Database Lookups changed in version 2.80. Prior to Version 2.80, database lookups were performed on individual Data Fields in a Data Model, using simple field mappings.

Now, lookups are configured on a Data Model, Data Section or Data Table’s properties, using SQL queries. Other improvements include:

Multiple database lookups using multiple SQL queries can be written on the Data Model.
Lookups can reference any number of database columns and Grooper fields.
During review, Grooper now provides a UI dialogue box when multiple matches are returned to choose the correct value.

Visit the Database Lookup article for more information.

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)

Data Extraction In Action: Saving Hundreds of Thousands of Dollars in 6 Months

Slowed by expensive and tedious data workflows with its current capture system, Oklahoma State University chose Grooper. They saw a quick return on investment, modernized data applications, streamlined student record processing in many ways, and can communicate with prospective students faster.

Key Outcomes

Reduced Months of Work in Admissions
Fully Automated Transcript Processing
Increased Enrollment Possibilities
Software Flexibility Leads to Cost Savings
Meet Project Deadlines
Increased Workflow Efficiency with Smart Document Classification
Easy Multi-Campus Deployment
Simplified, Economical Data Migration
Protection of Sensitive Information

You can access the full case study clicking this link.

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

@@ Line 48: / Line 48: @@
 {|cellpadding="15" cellspacing="10"
 |-style="background-color:#f89420; color:white; font-size:16pt"
-|style="width:50%"|'''New in 2.8'''||'''Featured Use Case'''
+|style="width:50%"|'''New in 2.9'''||'''Featured Use Case'''
 |-style="background-color:#fde6cb" valign="top"
 |
-New [[Microfiche Processing]] capabilities including
+{|cellpadding=5 cellspacing=2 style="margin:auto"
-* Three new batch activities specifically designed for microfiche processing
+!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>
-** [[Initialize Card]]
+|-
-** [[Detect Frames]]
+|[[Image:Compile_stats_02.png|center|200px|link=Compile Stats]]
-** [[Clip Frames]]
+|[[Image:Microsoft_office_integration_000.png|center|200px|link=Microsoft Office Integration]]
-* Two new IP commands.  While these are not strictly limited to microfiche processing they were created with microfiche processing in mind.
+|[[Image:document_viewer_00.png|center|150px|link=Document Viewer]]
-** [[Extract Page]]
+|[[Image:Separation_and_review_18.png|center|175px|link=Separation and Separation Review]]
-** [[Scratch Removal]]
+|-
+|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_006a.png|center|200px|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)]]'''
+|}
-Two additional batch activities
-* [[Recognize]] - Combining the old OCR and PDF Extract activities.
-* [[Generate PDF]] - Generating PDF content from processed documents, including native-PDF element creation (such as signature widgets).
-Two additional IP commands
-* [[Shape Removal]]
-* [[Shade Removal]]
-New extraction methods available to data fields
-* [[Anchored Extract]]
-* [[Anchored OMR]]
-* [[Find Barcode]]
-* [[Read Barcode]]
-* [[Zonal Extract]]
-Simpler and expanded [[Database Lookup]] capabilities.
-Expression based [[Field Mapping]] between data elements and their locations in external storage platforms, allowing for easier data formatting and exporting of batch processing metadata.
 |
 <blockquote style="font-size:14pt">