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[[ | [[File:microsoft_office_integration_000.png|right|thumb|Native text for Microsoft Office applications is a powerful data integration tool in Grooper.]] | ||
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[[Microsoft Office Integration]] | |||
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'''[https://en.wikipedia.org/wiki/Microsoft_Office Microsoft Office]''' integration allows a '''Grooper''' user to leverage the native text of files generated in the Microsoft Office Suite such as '''[https://en.wikipedia.org/wiki/Microsoft_Word Microsoft Word]''' documents and '''[https://en.wikipedia.org/wiki/Microsoft_Excel Microsoft Excel]''' '''[https://en.wikipedia.org/wiki/Personal_Storage_Table spreadsheets]'''. This feature can pull the native text from and perform type-specific activities on these files. | |||
===Supported File Types=== | |||
* Microsoft Word documents (.doc and .docx) | |||
** For Word documents, you can generate a Grooper-usable document with the '''Execute''' activity, using the ''Word to PDF'' command for the '''Word Document''' object type. The PDF will contain all the native text from the Word document, obtainable for further Grooper processing using the '''Recognize''' activity. | |||
* Microsoft Excel spreadsheets (xls and xlsx) | |||
** For Excel documents, you can generate a Grooper-usable document with the '''Execute''' activity, using the ''Excel to CSV'' command for the '''Excel Document''' object type. CSV files are natively readable by Grooper in version 2.90. The '''Recognize''' activity is ''not'' required. | |||
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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 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. |
Revision as of 13:43, 29 March 2021
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 |
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Microsoft Office integration allows a Grooper user to leverage the native text of files generated in the Microsoft Office Suite such as Microsoft Word documents and Microsoft Excel spreadsheets. This feature can pull the native text from and perform type-specific activities on these files. Supported File Types
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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. 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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