Hey, Computer, Make Me A Font
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Sergey Tselovalnikov
tl;dr: “This is a story of my journey learning to build generative ML models from scratch and teaching a computer to create fonts in the process.” FontoGen is a generative ML model project that crafts type fonts based on user descriptions. The author delves into the complexities of text-to-SVG generation and the intricacies of maintaining stylistic uniformity across glyphs. Drawing inspiration from the IconShop paper, a sequence-to-sequence model was employed, using text embeddings from BERT and font embeddings from tokenized glyph shapes.
featured in #454
Snapfont: The Fastest Way To Test Google / Local Fonts On Any Website
tl;dr: SnapFont makes it easier to test any font on any website. All you need to do is to install the browser extension.
featured in #175
Making Google Fonts Faster
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Sia Karamalegos
tl;dr: Google Fonts makes multiple requests when loading and provides no control of flash-of-invisible-text (FOIT) and flash-of-unstyled-text (FOUT). This tutorial helps with:
Latency time downloading fonts from Google Fonts
Self-hosting fonts for faster speed ⚡ and control over FOIT and FOUT, using google-webfonts-helper
featured in #132