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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. |
Introduction to Grooper | ||
Install and Setup | |||
2.80 Reference Documentation |
Featured Article | Did you know? | ||
Data Types are Data Extractors that use regular expression to match text on a document, returning and collating the results. The matching pattern or patterns will return as a list of values. The returned values can be further collated, isolated, and manipulated by configuring the properties of the Data Type. Data Types have a variety of uses in Grooper. Not only are they used to extract individual fields or information, but can be used to separate pages into document folders, classify documents, and more. |
When fuzzy matching a pattern in Grooper, the regex in the lookahead and lookbehind patterns are also fuzzy matched.
Using standard RegEx, this pattern only matches the word "grooper" if it starts at the beginning of a new line (Using the lookahead pattern However, if you use FuzzyRegEx mode, the characters in the lookahead and lookbehind are also included as potential character swaps. In this case, the In other words, it's not just the value pattern
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New in 2.8 | Featured Use Case |
New Microfiche Processing capabilities including
Two additional batch activities
Two additional IP commands New extraction methods available to data fields 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. |
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
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Other Resources | |||
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Getting started (MediaWiki)
MediaWiki has been installed.
Consult the User's Guide for information on using the wiki software.