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:
May. 19, 2026

Filed:

Jul. 19, 2024
Applicant:

Intuit Inc., Mountain View, CA (US);

Inventors:

Peter Lee Frick, Mountain View, CA (US);

Hui Chen, Mountain View, CA (US);

Victor Jayaseelan Savarimuthu, Mountain View, CA (US);

Tharathorn Rimchala, Mountain View, CA (US);

Assignee:

INTUIT INC., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01);
Abstract

A method of extracting information from documents. The method simplifies the extraction of information from documents by first converting them into machine-readable text via OCR. It then employs a text embedding model to represent the text as high-dimensional vectors. These vectors are clustered to pinpoint natural groupings and representative document clusters. An example document from each cluster is chosen, guided by the number of non-empty fields and its relation to other documents. This selection informs the creation of an in-context-learning prompt, which includes accurately annotated labels and a system prompt defining the task for the LLM. The LLM is then prompted to extract information from a new document's OCR text, leveraging the constructed prompt for guidance.


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