AI Framework has You Covered on Image-to-Text Workflows

What: Transform math equation images into LaTeX using AnyModal’s modular vision–language pipeline. How: Use pretrained weights for quick inference or train a custom model with your own dataset. Where: Find full examples, code, and model weights on GitHub and Hugging Face. Why: Easily integrate multiple AI components (vision + text) without writing extensive bridging code.

About AnyModal

AnyModal is a framework designed to unify multiple “modalities” (such as images, text, or other data) into a single, coherent workflow. Instead of juggling separate libraries or writing custom code to bridge vision and language models, AnyModal provides a structured pipeline where each component—image encoders, tokenizers, language models—can be plugged in without heavy customization. By handling the underlying connections between these pieces, AnyModal lets you focus on the high-level process: feeding in an image, for instance, and getting out a ...