15. In a digital medium environment to enable font replacement at a destination device for a document created at a source device, a method implemented by at least one computing device, the method comprising: receiving, by the at least one computing device, a document with an image from a remote computing device, the image including multiple glyphs rendered using a font such that the image represents a visual appearance of the font; inputting, by the at least one computing device, the image including the multiple glyphs to a font visual similarity model trained with machine learning; computing, by the at least one computing device, a font descriptor corresponding to the font responsive to the inputting, the font descriptor including font features derived from the visual appearance of the font by the font visual similarity model; comparing the font descriptor with multiple font descriptors of multiple local fonts to determine a visually similar local font; and displaying the document with the visually similar local font.
15. In a digital medium environment to enable font replacement at a destination device for a document created at a source device, a method implemented by at least one computing device, the method comprising: receiving, by the at least one computing device, a document with an image from a remote computing device, the image including multiple glyphs rendered using a font such that the image represents a visual appearance of the font; inputting, by the at least one computing device, the image including the multiple glyphs to a font visual similarity model trained with machine learning; computing, by the at least one computing device, a font descriptor corresponding to the font responsive to the inputting, the font descriptor including font features derived from the visual appearance of the font by the font visual similarity model; comparing the font descriptor with multiple font descriptors of multiple local fonts to determine a visually similar local font; and displaying the document with the visually similar local font. 17. The method as described in claim 15 , further comprising: training, by the at least one computing device, the font visual similarity model using a machine learning system, the training including: providing the machine learning system with an anchor image including at least one glyph rendered using a given font type; providing the machine learning system with a positive image including at least one glyph derived from the given font type; and providing the machine learning system with a negative image including at least one glyph rendered using a particular font type that differs from the given font type.