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US Patent 11860950 Document matching and data extraction

Patent 11860950 was granted and assigned to Sureprep Llc on January, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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Sureprep Llc
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Current Assignee
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Sureprep Llc
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118609500
Patent Inventor Names
David A. Wyle0
William W. Hosek0
Alexander James Sadovsky0
Date of Patent
January 2, 2024
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Patent Application Number
172179170
Date Filed
March 30, 2021
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Patent Citations
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US Patent 7234103 Network-based tax framework database
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US Patent 7257553 Method and system for aggregation and exchange of electronic tax information
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US Patent 7529408 System and method for electronically processing document images
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US Patent 7565312 Tax return systems and methods
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US Patent 7570842 OCR apparatus and OCR result verification method
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US Patent 7584884 System and method for capturing sales tax deduction information from monetary card transactions
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US Patent 7590572 System and method for efficient return preparation for newly-independent filers
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US Patent 7647258 Determining taxes by applying tax rules specified using configurable templates
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Patent Primary Examiner
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Michelle M Entezari Hausmann
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Patent abstract

The system is configured to create a generalized document automation framework that captures relevant data from documents based upon replicating historical human actions associated with a document. The system may use machine vision and natural language processing to match a new document to a document that was already human extracted in an existing corpus. This is accomplished by comparing both visual elements and textual elements. This match can be verified by statistical approaches by comparing the match metrics across multiple documents. After the match has been found and verified, the system then uses the historical extractions from the historical document and maps the extractions to similar regions in the new document based upon again both visual and text commonalities between documents. Data is then extracted from these regions of interest in the new document, sanity checked for data integrity against historical data, and then passed downstream for processing.

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