tesseract-wasm VS astro-float

I am working on a new machine learning runtime for CPU inference of ONNX models, focused especially on use in WebAssembly/browsers. It is part of a larger effort to create a modern alternative to https://github.com/robertknight/tesseract-wasm for in-browser OCR. Tesseract's recognition of lines works quite well and uses modern methods (LSTM neural networks), but its detection of text lines, page layout etc. uses heuristics that are brittle.

I am working on https://github.com/stencillogic/astro-float

Since my last post announcing astro-float on Reddit it had several major updates:

I am working on astro-float. My goal is to write a procedural macro which, roughly speaking, given a precision, a rounding mode, and a math expression computes the correctly rounded result of that expression with desired precision.

Experience: I've been learning and writing Rust for more than 3 years. I have several crates published, my most prominent project so far is astro-float.

I'd like to present a library that implements arbitrary precision floating point numbers: https://github.com/stencillogic/astro-float