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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12573227 B1

PDFFull Text
Date of Patent:
Mar. 10, 2026

Filed:

Jan. 27, 2021

Method and system for extraction of data from documents for robotic process automation

Applicant:

Automation Anywhere, Inc., San Jose, CA (US);

Inventors:

Siddarth Sathi, San Jose, CA (US);

Vibhas Gejji, San Jose, CA (US);

Anish Hiranandani, San Jose, CA (US);

Bruno Gomes Selva, San Jose, CA (US);

Anjana Prabhakar, Sunnyvale, CA (US);

Assignee:

Automation Anywhere, Inc., San Jose, CA (US);

Attorneys:

Jason A. Smith

Shumaker, Loop & Kendrick, LLP

Primary Examiner:

Gregory A Morse

Assistant Examiner:

Stefano Anthony Dardano

Int. Cl.
CPC ...
G06V 30/416 (2022.01); G06F 16/242 (2019.01); G06F 40/00 (2020.01); G06F 40/177 (2020.01); G06F 40/20 (2020.01); G06F 40/279 (2020.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); G06Q 10/10 (2023.01); G06Q 40/12 (2023.01); G06V 30/00 (2022.01); G06V 30/148 (2022.01); G06V 30/19 (2022.01); G06V 30/40 (2022.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01); G06V 30/414 (2022.01);
U.S. Cl.
CPC ...
G06V 30/416 (2022.01); G06F 16/243 (2019.01); G06F 40/00 (2020.01); G06F 40/177 (2020.01); G06F 40/20 (2020.01); G06F 40/279 (2020.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01); G06Q 40/12 (2013.12); G06V 30/00 (2022.01); G06V 30/153 (2022.01); G06V 30/19173 (2022.01); G06V 30/40 (2022.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01); G06V 30/414 (2022.01);
Abstract

Improved techniques to access content from documents in an automated fashion. The improved techniques permit extraction of data from documents, namely, images of documents. The extraction processing can be hierarchical, such as being performed in multiple levels (i.e., multi-leveled). At an upper level, numerous different objects within a document can be detected along with positional data for the objects and can be categorized based on a type of object. Then, at lower levels, the different objects can be processed differently depending on the type of object. As a result, data extraction from the document can be performed with greater reliability and precision.

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