Audience
Developers, researchers, and engineers wanting a tool to accurately parse and understand complex documents, layouts, and visual-text content at scale
About GLM-OCR
GLM-OCR is a multimodal optical character recognition model and open source repository that provides accurate, efficient, and comprehensive document understanding by combining text and visual modalities into a unified encoder–decoder architecture derived from the GLM-V family. Built with a visual encoder pre-trained on large-scale image–text data and a lightweight cross-modal connector feeding into a GLM-0.5B language decoder, the model supports layout detection, parallel region recognition, and structured output for text, tables, formulas, and complicated real-world document formats. It introduces Multi-Token Prediction (MTP) loss and stable full-task reinforcement learning to improve training efficiency, recognition accuracy, and generalization, achieving state-of-the-art benchmarks on major document understanding tasks.
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Pricing
Starting Price:
Free
Free Version:
Free Version available.
Integrations
API:
Yes, GLM-OCR offers API access
No integrations listed.
Company Information
Z.ai
Founded: 2019
China
github.com/zai-org/GLM-OCR
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
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