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title: zai-org/GLM-OCR: GLM-OCR: Accurate × Fast × Comprehensive
description: GLM-OCR is an open-source multimodal OCR model achieving state-of-the-art performance on document understanding benchmarks with only 0.9B parameters. Built on...
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og:description: GLM-OCR is an open-source multimodal OCR model achieving state-of-the-art performance on document understanding benchmarks with only 0.9B parameters. Built on...
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# zai-org/GLM-OCR: GLM-OCR: Accurate × Fast × Comprehensive

**[Hacker News](https://daily.dev/sources/hn)** · 7 min read · 0 upvotes · 0 comments

## Summary

GLM-OCR is an open-source multimodal OCR model achieving state-of-the-art performance on document understanding benchmarks with only 0.9B parameters. Built on GLM-V architecture with Multi-Token Prediction loss, it excels at complex layouts including tables, formulas, and code. The project provides a comprehensive SDK supporting multiple deployment options: cloud API via Zhipu MaaS, self-hosted with vLLM/SGLang, or local deployment with Ollama/MLX. Features include layout detection via PP-DocLayout-V3, parallel region recognition, and outputs in both JSON and Markdown formats.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://github.com/zai-org/GLM-OCR>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#computer-vision](https://daily.dev/tags/computer-vision)

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