GLM-OCR

GLM OCR is a specialized vision-language model designed to bridge the gap between raw image data and structured text. Unlike general-purpose OCR engines that often struggle with complex layouts or handwritten notes, this model leverages the GLM architecture to maintain spatial awareness and semantic context. For developers, this means higher accuracy in digitizing multi-column documents, tables, and mixed-media assets without requiring extensive pre-processing pipelines. It integrates easily into RAG workflows where document parsing is a bottleneck, offering a more robust alternative to traditional Tesseract-based solutions. Whether you are building automated invoice processing or digitizing archival records, GLM OCR provides the precision needed for downstream LLM consumption.