The site is especially interesting because it does not use well-known handwritten fonts – each letter here can look original, even if it is repeated many times.
Calligrapher.ai was created by machine learning researcher Sean Vasquez, who used research from a 2013 paper by Alex Graves of British AI firm DeepMind. Calligrapher.ai “draws” each letter as if it were written by a human hand, guided by data obtained from a recurrent neural network (RNN) that was trained on the basis of the IAM On-Line Handwriting Database (a database containing digitized handwriting samples of 221 people) .
Calligrapher.ai’s handwriting synthesis model is set to English, and users have reported issues with diacritics commonly found in other languages.
In 2018, Vasquez provided the base code to provide a demo of the app on GitHub so that it can be adapted to other apps.
With neural networks now working with speech, images, video, print, and now handwriting, it seems that AI can claim advances in all areas of human creativity.
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