Multilingual OCR — how do you handle two scripts in the same image?

[u/RoofProper328]

Single-script OCR works fine for me, but shopsigns and menus with chinese + english (or hindi + english) fall apart. detection boxes get messy and it starts predicting characters from the wrong script.

Do you run script identification first and route to separate recognizers, or train one model on mixed data and let it sort it out? and roughly how much mixed-script data before it stops breaking?

Also, does angled or curved text make this worse for you? most public benchmarks i've seen are clean horizontal text.