Schematron-3B vs 8B: How Small HTML-to-JSON Models Beat GPT-4.1

Deep Dive into the Schematron Series: Achieving High-Precision HTML to JSON Extraction with Compact Language Models Schematron The Core Question: Faced with the massive amount of messy, unstructured HTML data on the web, how can engineering teams convert it into strictly JSON-formatted, business-logic-compliant structured data with high precision and minimal cost? In today’s data-driven landscape, the vast majority of information on the Internet exists in HTML format. While this format is designed for human consumption through browsers, it is notoriously noisy for machine processing and automation systems. Scripts, stylesheets, ad code, and nested tags make extracting structured data—such as prices, …