I've had some success getting models to recognize simple electronic circuits drawn using ASCII art, including stuff like identifying a buck converter circuit in various guises.

However, as you point out, the way we feed these models especially make them vertically challenged, so to speak. This makes them unable to reliably identify vertically separated components in a circuit for example.

With combined vision+text models becoming more common place, perhaps running the rendered text input through the vision model might help.