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.

Date of Patent:
Jan. 07, 2025

Filed:

Jan. 27, 2021
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);

Attorney:
Primary Examiner:
Assistant Examiner:
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 content within documents to be retrieved and then used by computer systems operating various software programs (e.g., application programs), such as an extraction program. Documents, especially business transaction documents, often have various descriptors (or tables) and values that form key-value pairs. The improved techniques permit key-value pairs within documents to be recognized and extracted from documents. Consequently, RPA systems are able to accurately understand the content of tables within documents so that users and/or software robots can operate on the documents with increased reliability and flexibility.


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