US 12,223,253 B2
Dynamic copyfitting parameter estimation
Rishav Agarwal, Siliguri (IN); Vidisha Rama Hegde, Belgaum (IN); Vasu Gupta, Sirhind (IN); and Sanyam Jain, New Delhi (IN)
Assigned to Adobe Inc., San Jose, CA (US)
Filed by Adobe Inc., San Jose, CA (US)
Filed on Nov. 9, 2022, as Appl. No. 17/984,143.
Prior Publication US 2024/0152680 A1, May 9, 2024
Int. Cl. G06F 17/00 (2019.01); G06F 40/103 (2020.01)
CPC G06F 40/103 (2020.01) 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a content area of an electronic document and input text for copyfitting into the content area;
classifying, by a trained classifier, a shape of the content area;
generating a set of weights based on the classified shape of the content area, the set of weights including a first set of one or more weights for the input text and a second set of one or more weights for the content area;
determining copyfitting parameters for the content area based on content area features, the first set of one or more weights, the second set of one or more weights, and the input text, the copyfitting parameters including an indication of a number of remaining characters that can be inserted into the content area; and
presenting, in real-time, the copyfitting parameters.