LLM prompts and summaries
Prepare an article or reference page as readable text before asking an AI assistant to summarize, compare, extract facts, or answer questions about it.
Webpage to Markdown for AI
Raw webpages contain navigation, interface text, layout markup, and other elements that are often irrelevant to the task you want an AI system to perform. Web2MD converts a public URL into readable Markdown so you can work with the page content in a simpler text format.
Convert a webpage to MarkdownMarkdown keeps useful document structure such as headings, paragraphs, lists, and links while removing much of the presentation layer around the content. That makes the result easier to inspect, edit, store, split into chunks, or paste into another tool.
Prepare an article or reference page as readable text before asking an AI assistant to summarize, compare, extract facts, or answer questions about it.
Use cleaner source text before chunking, indexing, embedding, or feeding webpage content into a retrieval pipeline.
Save useful web material as portable Markdown for documentation, knowledge bases, note systems, or later analysis.
Web2MD performs content extraction, not AI analysis. You stay in control of where the resulting Markdown is used next.
Public articles, documentation pages, blog posts, and other primarily text-based pages are the best fit. Login-protected pages may not be accessible, and extraction quality can vary on heavily interactive or unusual JavaScript-driven sites.
Yes. The output is ordinary Markdown text, so you can copy it into any tool that accepts text or Markdown, subject to that tool's own input limits and terms.
Removing page chrome and unrelated markup can make the input smaller than raw HTML, but the exact token count depends on the source page, extracted content, and tokenizer used by the destination model.
No. Web2MD extracts readable content from a public webpage and returns Markdown. It does not summarize or generate new content with an AI model.
Use the main Web2MD converter to turn a public webpage into Markdown, then copy the output or
download it as a .md file.