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US 2025/0148196 A1Published application
Ai enhanced pdf conversion into human readable and machine parsable html
OwnerHu CHEN, Xin WEN +3inventors
InventorsHu CHEN, Xin WEN, Wenliang HE, Ming LU, Shariq AHMAD
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Abstract
Computer implemented method for converting PDF documents into human readable and machine parsable HTML code. The method includes the use of a machine learning algorithm in order to automatically annotate the HTML code, said algorithm being trained with a set of manually annotated HTML code examples.
Claims13
A computer-implemented method for converting PDF documents into human readable and machine parsable HTML code comprising the steps of:
- extracting texts;
- extracting formatting styles;
- extracting background graphs;
- extracting positional info;
- extracting font family information;
- annotating of html code;
- organizing reading order;
- and
- including metadata;
- characterized in that, a machine learning algorithm is used to automatically annotate HTML code, which machine learning algorithm is trained with a set of manually annotated HTML code examples, the extracted font family information is True Type Fonts compatible, organizing of the reading order is determined based on a combination of:
- innate reading order;
- region delineation by a segmentation algorithm;
- and
- paragraph sequencing;
- text within a paragraph is annotated with <span></span> tags.
12 more elements
-15. (canceled)
Dependencies are inferred from the claim text.