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Now only if llm response font is some handwritten style.


This uses LLM Tools to pick between outputting an SVG or plugging in a virtual keyboard to type. The keyboard is much more reliable, and that's what you see in the screenshot.

If nothing else it could use an SVG font that has handwriting; you'd need to bundle that for rendering via reSVG or use some other technique.

But if I ever make a pen-backend to reSVG then it would be even cooler, you would be able to see it trace out the letters.


That's definitely pretty easy to achieve, just change the font settings to use a particular handwritten style font [0].

[0] https://fonts.google.com/?categoryFilters=Calligraphy:%2FScr...


That would be next-level immersion! You could probably achieve this by rendering the LLM’s response using a handwritten font—maybe even train a model on your own handwriting to make it feel truly personal.


Script fonts don’t really look like handwriting - too regular.

But one of the early deep learning papers from Alex Graves does this really well with LSTMs - https://arxiv.org/abs/1308.0850

Implementation - https://www.calligrapher.ai/


ooo -- thanks for the link!


Like Apple Notes's Smart Script?


Actually if you figure that out please post it here!! I'd love to see that!




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