GLM OCR 👋 Join our WeChat and Discord community 📍 Use GLM OCR's API 👉 GLM OCR SDK Recommended 📖 Technical Report Introduction GLM OCR is a multimodal OCR model for complex document understanding, built on the GLM V encoder–decoder architecture. It introduces Multi Token Prediction (MTP) loss and stable full task reinforcement learning to improve training efficiency, recognition accuracy, and generalization. The model integrates the CogViT visual encoder pre trained on large scale image–text data, a lightweight cross modal connector with efficient token downsampling, and a GLM 0.5B language decoder. Combined with a two stage pipeline of layout analysis and parallel recognition based on PP DocLayout V3, GLM OCR delivers robust and high quality OCR performance across diverse document layouts. Key Features State of the Art Performance : Achieves a score of 94.62 on OmniDocBench V1.5, ranking 1 overall, and delivers state of the art results across major document understanding benchmarks, including formula recognition, table recognition, and information extraction. Optimized for Real World Scenarios : Designed and optimized for practical business use cases, maintaining robust perform…
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