Discovering fonts with a vector space model

In plain words

This AI-powered tool helps designers discover Google fonts by using a vector space model to find complementary font pairings. Rather than manually searching, users input a font they like and the generator suggests visually cohesive alternatives based on mathematical relationships between typeface characteristics. It applies the same principle designers use when rotating color wheels to create palettes, but applies it to typography, making font selection faster and more systematic for design projects.

written from the facts on this page · September 2026

From the sources

When designers make color palettes, a common technique is to rotate the color wheel. Eg. we can make a complementary palette then rotate hues to form new palettes. The Brandmark font generator does this with fonts instead of colors. From a geometric perspective, changing hues is equivalent to rotating a vector in an HSV colorspace. I've previously discussed finding font pairings with a vector space model , where each font corresponds to a vector in an embedding feature-space. This approach lets us discover interesting pairings out of a vacuum, but a lot of the time we already have some fonts in mind and just want more options to play with, similar to rotating a color wheel. The font…from brandmark.io

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