The post discusses the development and utility of local structured extraction methods using Ollama and Pydantic for processing documents and images. Users explore their experiences with structured outputs, model fine-tuning for visual data extraction, and express interest in models like Qwen2.5-VL. A focus on open-source solutions for document categorization is highlighted, which can produce structured JSON from visual data. Comments reflect a mix of interest in moving away from SaaS solutions towards localized extraction capabilities, indicative of a trend towards more privacy-centric and efficient data processing approaches.