zai-org/GLM-OCR

Health v2 · maintenance only

Adoption not part of the score

7366 stars · 664 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GLM-OCR is an open-source 0.9B-parameter multimodal OCR model built on the GLM-V encoder-decoder architecture for complex document understanding, including tables, formulas, and code-heavy layouts. It ships with a Python SDK, CLI, and inference toolchain supporting deployment via vLLM, SGLang, and Ollama.

Use cases

• extract text from scanned pdf documents
• recognize tables in images
• convert formulas in papers to latex
• parse complex document layouts into structured text
• run ocr at scale on a gpu server
• digitize receipts and sealed documents

When to choose

• you need state-of-the-art document OCR with layout analysis
• you want a small efficient model deployable with vLLM or Ollama
• your documents contain tables, formulas, seals, or code

When to avoid

• you only need simple plain-text OCR without layout understanding
• you have no GPU and cannot use the hosted API
• you need handwriting recognition in many languages

Facets

library · maturity active

ocr machine-learning llm-inference image-processing pdf computer-vision artificial-intelligence pdf deep-learning python cross-platform cli multimodal document-understanding vision-language-model table-recognition formula-recognition vllm sglang ollama layout-analysis natural-language-processing gpu

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markdown · JSON · MCP: product_card(name="zai-org/GLM-OCR")