Run structured extraction on documents/images locally with Ollama and Pydantic

Welcome to VLM Run Hub, a comprehensive repository of pre-defined Pydantic schemas for extracting structured data from unstructured visual domains such as images, videos, and documents. Designed for Vision Language Models (VLMs) and optimized for real-world use cases, VLM Run Hub simplifies the integration of visual ETL into your workflows. Image JSON { "issuing_state" : " MT " , "license_number" : " 0812319684104 " , "first_name" : " Brenda " , "middle_name" : " Lynn " , "last_name" : " Sample " , "address" : { "street" : " 123 MAIN STREET " , "city" : " HELENA " , "state" : " MT " , "zip_code" : " 59601 " }, "date_of_birth" : " 1968-08-04 " , "gender" : " F " , "height" : " 5'06 \" " , "weight" : 150.0 , "eye_color" : " BRO " , "issue_date" : " 2015-02-15 " , "expiration_date" : " 2023-08-04 " , "license_class" : " D " } 💡 Motivation While vision models like OpenAI’s GPT-4o and Anthropic’s Claude Vision excel in exploratory tasks like "chat with images," they often lack practicali ... Read full article.