US 11,947,896 B2
Font recommendation
Peter Evan O'Donovan, Seattle, WA (US); Siddartha Reddy Turpu, Everett, WA (US); Razvan Cotlarciuc, Seattle, WA (US); Oliver Markus Michael Brdiczka, San Jose, CA (US); Nipun Jindal, Delhi (IN); and Costin-Stefan Ion, Mill Creek, WA (US)
Assigned to Adobe Inc., San Jose, CA (US)
Filed by Adobe Inc., San Jose, CA (US)
Filed on Jun. 24, 2022, as Appl. No. 17/848,795.
Prior Publication US 2023/0419014 A1, Dec. 28, 2023
Int. Cl. G06F 40/109 (2020.01); G06F 16/583 (2019.01); G06F 40/126 (2020.01); G06V 30/413 (2022.01)
CPC G06F 40/109 (2020.01) [G06F 16/5846 (2019.01); G06F 40/126 (2020.01); G06V 30/413 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
generating, by a processing device, a font representation of a context of a font within an item of digital content, the generating including:
encoding the font using machine learning; and
detecting at least one font feature describing how a glyph of the font is included as part of the item of digital content;
producing, by the processing device, a font recommendation based on the font representation using a machine-learning model; and
outputting, by the processing device, the font recommendation.