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Grooper is | 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. | |||
|[https://xchange.grooper.com/discussion/57/read-me-getting-started Getting Started] | |[https://xchange.grooper.com/discussion/57/read-me-getting-started Getting Started] |
Revision as of 14:33, 11 November 2020
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. |
Getting Started | ||
Install and Setup | |||
2.90 Reference Documentation |
Featured Articles | Did you know? |
ESP Auto Separation (often referred to simply as ESP) is one of Grooper's Separation Providers used for document separation. It leverages several different aspects of documents to determine where one document starts and the next begins in a Batch of loose pages, including classification data, the documents pagination structure, extracted page numbers, and rules for merging one Document Type with another. ESP Auto Separation is also one of the few Separation Providers that both separates and classifies documents at the same time, during the Separate activity. ESP Auto Separation is often seen as the most effort intensive Separation Provider. It is a highly configurable provider (And, not all that configuration is done on the Separate step or a Separation Profile. Most of its functionality is actually determined by the associated Content Model's configuration). However, it is often the solution for the most complicated separation and classification challenges. ESP is extremely useful for separating document sets with a variety of structured, semi-structured, and unstructured documents. |
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. 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. |
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