NuExtract3 Gets Official Ollama Support
Key point
NuMind's open-weight 4B VLM NuExtract3 has been officially released on Ollama, enabling local structured document extraction.
Details
NuExtract3 is an Apache-2.0 open-weight 4B VLM based on Qwen3.5-4B, specialized for document understanding rather than general conversation. It was developed by the NuMind team, and official Ollama support has now been added.
Ollama deployment variants:
- Q4_K_M: 3.4 GB (recommended for general local use)
- Q6_K: 4.1 GB (improved precision)
- BF16: 9.3 GB (original precision)
Key features:
- Document image or text → JSON template-based structured extraction
- Document image → clean Markdown conversion
- Markdown output including HTML tables and LaTeX equations
- Support for receipts, invoices, forms, contracts, scanned documents, tables, and complex layouts
- Support for multilingual documents and multiple images/multi-page documents
- Thinking/Non-thinking reasoning modes
In the Ollama Python client, you can extract structured data from images by passing a JSON schema with role: template.
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