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US Patent 10467464 Document field detection and parsing

Patent 10467464 was granted and assigned to The Neat Company on November, 2019 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
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Current Assignee
The Neat Company
The Neat Company
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Date Filed
June 7, 2016
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Date of Patent
November 5, 2019
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Patent Applicant
The Neat Company
The Neat Company
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Patent Application Number
15175712
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Patent Citations Received
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US Patent 12008304 Machine learning based classification and annotation of paragraph of resume document images based on visual properties of the resume document images, and methods and apparatus for the same
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US Patent 11354485 Machine learning based classification and annotation of paragraph of resume document images based on visual properties of the resume document images, and methods and apparatus for the same
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US Patent 11861925 Methods and systems of field detection in a document
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US Patent 11881041 Automated categorization and processing of document images of varying degrees of quality
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US Patent 11893012 Content extraction using related entity group metadata from reference objects
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US Patent 11893817 Method and system for generating document field predictions
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US Patent 10970535 System and method for extracting tabular data from electronic document
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US Patent 11074442 Identification of table partitions in documents with neural networks using global document context
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US Patent 11682220 Overlap-aware optical character recognition
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US Patent 11699021 System for reading contents from a document
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•••
Patent Inventor Names
Shuo Chen
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Venkataraman Pranatharthiharan
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
10467464
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Patent Primary Examiner
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Jayesh A Patel
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