For me, the main problem with most tools that render to HTML was that they don't support all math typesetting libraries that latex supports. I used to work with

For me, the main problem with most tools that render to HTML was that they don't support all math typesetting libraries that latex supports. I used to work with category theory, where it's common to use the tikz-cd library to typeset commutative diagrams. tikz-cd is based on tikz, which is usually not supported for HTML output. But apart from math typesetting, my latex documents were usually very simple: They just used sections, paragraphs, some theorem environments and references to those, perhaps similar to what the stack project uses [3]. Simple latex such as this corresponds relatively directly to HTML (except for the math formulas of course). But many latex to html tools try to implement a full tex engine, which I believe means that they lower the high-level constructs to something more low level (or that's at least my understanding). This results in very complicated HTML documents from even simple latex input documents. So what would've been needed for me was a tool that can (1) render all math that pdflatex can render, but that apart from math only needs to (2) support a very limited set of other latex features. In a hacky way, (1) can be accomplished by simply using pdflatex to render each formula of a latex document in isolation to a separate pdf, then converting this pdf to svg, and then incuding this svg in the output HTML in the appropriate position. And (2) is simply a matter of parsing this limited subset of latex. I've prototyped a tool like that here [1]. An example output can be found here [2]. Of course, SVGs are not exactly great for accessibility. But my understanding is that many blind mathematicians are very good at reading latex source code, so perhaps an SVG with alt text set to the latex source for that image is already pretty good. [1] https://github.com/mbid/latex-to-html https://github.com/mbid/latex-to-html [2] https://www.mbid.me/lcc-model/ https://www.mbid.me/lcc-model/ [3] https://stacks.math.columbia.edu/ https://stacks.math.columbia.edu/