10. In a digital medium environment to generate a model that is suitable to determine which fonts are similar to rendered text in an image, a method implemented by one or more computing devices comprising: selecting training images, by the one or more computing devices, using font metadata associated with respective said fonts used to render text included in respective said training images, the selected training images including: an anchor image having text rendered using a font type; a positive image having: text that is different than the text of the anchor image; or text having one or more applied perturbations; and a negative image having text that is not in the font type; controlling training of the model as an embedding function for font similarity, by the one or more computing devices, using machine learning using the anchor image, the positive image, and the negative image; and exposing the model, by the one or more computing devices, to one or more applications such that the applications can determine the fonts that are similar to the rendered text in the image.
10. In a digital medium environment to generate a model that is suitable to determine which fonts are similar to rendered text in an image, a method implemented by one or more computing devices comprising: selecting training images, by the one or more computing devices, using font metadata associated with respective said fonts used to render text included in respective said training images, the selected training images including: an anchor image having text rendered using a font type; a positive image having: text that is different than the text of the anchor image; or text having one or more applied perturbations; and a negative image having text that is not in the font type; controlling training of the model as an embedding function for font similarity, by the one or more computing devices, using machine learning using the anchor image, the positive image, and the negative image; and exposing the model, by the one or more computing devices, to one or more applications such that the applications can determine the fonts that are similar to the rendered text in the image. 12. The method as described in claim 10 , wherein the font metadata specifies a family, weight, regular or italic, recommended use, or calligraphy style.