GLM-OCR

Most OCR tools work fine on clean demo images but fall apart when you throw real-world documents at them. Tables get mangled, formulas turn into gibberish, and structured data extraction becomes a nightmare.

GLM-OCR from Zhipu AI tackles this properly. It’s a 0.9B parameter multimodal model that handles document parsing, table extraction, mathematical formulas, and key information extraction in one go. The interesting bit is the size - we’re not talking about another resource-hungry monster here.

Real document OCR is still a hard engineering problem. Clean PDFs are easy, but scanned invoices, handwritten forms, and complex layouts break most systems. A compact model that can actually handle this complexity could be genuinely useful for anyone building document processing pipelines.

The model appears designed for production use rather than just research demos. That’s refreshing in a field full of impressive papers that fall over when you try to use them on actual documents.