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Zhipu AI Introduces GLM-OCR: A 0.9B Multimodal OCR Model for Document Parsing and Key Information Extraction (KIE)

Zhipu AI and Tsinghua University unveiled GLM‑OCR, a 0.9 billion‑parameter multimodal model designed for efficient document understanding. The architecture pairs a 0.4 B CogViT visual encoder with a 0.5 B GLM language decoder and introduces Multi‑Token Prediction to boost decoding speed by roughly 50 %. GLM‑OCR employs a two‑stage pipeline—layout analysis via PP‑DocLayout‑V3 followed by parallel region‑level recognition—and supports both structured parsing and key‑information extraction. Benchmark results show top‑tier scores on several public datasets, though it trails on PubTabNet and Gemini‑3‑Pro KIE tests.