How to Convert Any Webpage to Clean Markdown for AI Workflows

If you have ever pasted a webpage into ChatGPT or Claude, you have probably noticed the output quality is inconsistent. That is because raw HTML wastes 80-90% of your context window on nav bars, ads, scripts, and layout noise. The Problem A typical 1,500-word blog post lives inside 50-80KB of HTML. The actual content? Maybe 6-8KB. You are paying for tokens that add zero value. I tested 3 real pages: News article: 14,800 tokens raw HTML vs 2,100 clean Markdown (86% waste) React docs: 22,400 vs 5,800 tokens (74% waste) Reddit thread: 38,600 vs 6,200 tokens (84% waste) Why Markdown? Markdown wins because: Structure without noise — headings, lists, code blocks survive LLMs are trained on it — every GitHub repo uses Markdown Token efficient My Workflow I built Web2MD to solve this. It is a Chrome extension that converts any webpage to clean Markdown with one click. The conversion engine uses 130+ CSS selectors to strip boilerplate and has dedicated extractors for 14 platforms (YouTube subti