#269 · Primary category: Computer Vision

vlmrun-hub

ai computer-vision etl genai json multimodal pydantic pydantic-models vlm vlm-ocr

A hub for various industry-specific schemas to be used with VLMs.

Project last updated:12/15/25

GitHub Stars

555

Forks

25

Contributors

12

License

Apache-2.0

Why we included this project

Most teams building document or image extraction end up writing their own Pydantic schemas and debugging them against real-world inputs. VLM Run Hub removes that step by shipping a catalog of pre-built models for common domains: invoices, receipts, driver's licenses, passports, bank statements, medical insurance cards, and even sports game states. Point a vision-language model at an image and you get validated, strongly-typed output rather than free-form text. The schemas are model-agnostic, so the same definition works with OpenAI, Gemini, or other structured-output providers, and they plug into the VLM Run SDK or Instructor-style clients. If you do document processing, accounting automation, or other visual ETL, the ready-made domains are a practical starting point, and the catalog format makes it easy to contribute new schema types as needs grow.

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