Thanks to a free web app called calligrapher.ai, anyone can simulate handwriting with a neural network that runs in a browser via JavaScript.

After typing a sentence, the site renders it as handwriting in nine different styles, each of which is adjustable with properties such as speed, legibility, and stroke width.

During the past decade, computer scientists have relaxed those restrictions by discovering new ways to simulate the dynamic variety of human handwriting using neural networks.

Vasquez originally created the Calligrapher site years ago, but it recently gained more attention with a rediscovery on Hacker News.

As a result, the Calligrapher.ai handwriting synthesis model is heavily tuned toward English-language writing, and people on Hacker News have reported trouble reproducing diacritical marks that are commonly found in other languages.

With neural networks now tackling text, speech, pictures, video, and now handwriting, it seems like no corner of human creative output is beyond the reach of generative AI.