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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 12394238 B1

PDFFull Text
Date of Patent:
Aug. 19, 2025

Filed:

Jun. 12, 2024

Method and apparatus for data structuring of text

Applicant:

42maru Inc., Seoul, KR;

Inventors:

Dong Hwan Kim, Seoul, KR;

You Kyung Kwon, Seoul, KR;

So Young Ko, Seoul, KR;

Sook Jin Roe, Seoul, KR;

Ki Beom Kwon, Gyeongggi-do, KR;

Da Hea Moon, Seoul, KR;

Assignee:

42Maru Inc., Seoul, KR;

Attorney:

Sughrue Mion, PLLC

Primary Examiner:

Alex Kok S Liew

Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 16/953 (2019.01); G06F 40/20 (2020.01); G06V 30/12 (2022.01); G06V 30/19 (2022.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01); G06V 30/414 (2022.01); G06V 30/416 (2022.01);
U.S. Cl.
CPC ...
G06V 30/413 (2022.01); G06F 16/953 (2019.01); G06F 40/20 (2020.01); G06V 30/12 (2022.01); G06V 30/19093 (2022.01); G06V 30/412 (2022.01); G06V 30/414 (2022.01); G06V 30/416 (2022.01);
Abstract

Provided are method and apparatus for data structuring of text. The apparatus for data structuring of text includes a processor; and a memory storing instructions executable by the processor, wherein the processor is configured to execute the instructions to: extract text and location information of the text from an image, set text units for the extracted text, assigning a first tag and a second tag to at least one of the text units, connect text units with related tags among the text units allocated the first tag and the second tag, label the connected text units as first text, second text, and third text respectively corresponding to an item name, an item value, and others based on a natural language processing model, and structure the extracted text by mapping the second text to the first text.

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