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// summary
GLM-OCR is a multimodal OCR model based on the GLM-V architecture, specifically designed for complex document understanding. By introducing multi-token prediction loss and reinforcement learning, the model achieves exceptional recognition accuracy and generalization capabilities while maintaining a lightweight 0.9B parameter count. Additionally, the project provides a comprehensive SDK and various deployment solutions, supporting efficient local deployment and cloud API calls.
// use cases
01
Layout analysis and high-precision information extraction for complex documents
02
OCR recognition for special scenarios such as tables, code, and stamps
03
Lightweight deployment in high-concurrency services and edge computing environments