⟁ No More Need for a Pen and Paper: Deepfakes and Handwriting Synthesis ⟁
By Vinicius "Vinnie" Moura and ChatGPT
Are you tired of using the same old boring fonts for your written work? Look no further than Calligrapher.ai, a revolutionary new web app that uses neural networks to simulate handwriting in a browser via JavaScript. With the simple click of a button, type in any sentence and watch as it transforms into one of nine unique handwriting styles, each fully customizable with properties such as speed, legibility, and stroke width. And the best part? You can even download the resulting handwriting sample as an SVG vector file.
But what sets Calligrapher.ai apart from traditional fonts is that it doesn't use a font at all. Instead, it uses statistical weights from a recurrent neural network trained on handwriting samples, creating a dynamic and natural-looking simulation of human handwriting. The algorithm, created by machine-learning researcher Sean Vasquez, is based on research from a 2013 paper by DeepMind's Alex Graves.
And the possibilities don't stop there. With the ability to adjust the legibility of handwriting, Calligrapher.ai can be used in a variety of contexts, from graphic design to personal projects. Plus, with underlying code provided on GitHub by Vasquez in 2018, the potential for adaptation and integration into other applications is endless.
It's clear that with advancements in neural networks, Artificial Intelligence is expanding its capabilities and infiltrating every aspect of human creativity, from text, speech, pictures, and videos, to handwriting. It appears that no aspect of human expression is immune to the reach of AI's generative power.
So why settle for a plain, static font when you can have the dynamic and unique look of real handwriting? Give Calligrapher.ai a try and let us know what you think!
Sources:
https://arxiv.org/pdf/1312.5602.pdf
https://arstechnica.com/information-technology/2023/01/computer-generated-handwriting-demo-offers-deepfakes-for-scrawl/?utm_source=tldrnewsletter


