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:
Jul. 08, 2025

Filed:

Oct. 19, 2023
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Sandeep Tata, San Francisco, CA (US);

Bodhisattwa Prasad Majumder, La Jolla, CA (US);

Qi Zhao, Santa Clara, CA (US);

James Bradley Wendt, San Francisco, CA (US);

Marc Najork, Palo Alto, CA (US);

Navneet Potti, Sunnyvale, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/70 (2017.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06V 30/262 (2022.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01); G06V 30/416 (2022.01);
U.S. Cl.
CPC ...
G06V 30/413 (2022.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06T 7/70 (2017.01); G06V 30/274 (2022.01); G06V 30/412 (2022.01); G06V 30/416 (2022.01); G06T 2207/30176 (2013.01);
Abstract

The present disclosure is directed to extracting text from form-like documents. In particular, a computing system can obtain an image of a document that contains a plurality of portions of text. The computing system can extract one or more candidate text portions for each field type included in a target schema. The computing system can generate a respective input feature vector for each candidate for the field type. The computing system can generate a respective candidate embedding for the candidate text portion. The computing system can determine a respective score for each candidate text portion for the field type based at least in part on the respective candidate embedding for the candidate text portion. The computing system can assign one or more of the candidate text portions to the field type based on the respective scores.


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