Convert Wikipedia to Markdown
Wikipedia articles have complex table structures, citations, and infoboxes. Web2MD extracts the article content with proper section hierarchy.
Try it now — no install needed
3 free/dayPaste a Wikipedia link and get clean Markdown in seconds.
How to Convert
- 1Install the Web2MD extension from the Chrome Web Store
- 2Navigate to the Wikipedia (wikipedia.org) page you want to convert
- 3Click the Web2MD icon in your browser toolbar
- 4Click "Copy page as Markdown" — clean Markdown is now in your clipboard
Wikipedia Conversion Tips
- •Preserves section hierarchy and headings
- •Handles tables and infoboxes
- •Strips navigation, references, and edit links
FAQ
How do I convert a Wikipedia article to Markdown for AI?
Paste the Wikipedia article URL into Web2MD. It keeps the section hierarchy, tables, and infobox as Markdown, and can retain the citation references so you know where facts came from. It strips the sidebar, "edit" links, and navigation chrome. Paste the result into ChatGPT or Claude to summarize a long article or answer questions grounded in the source.
Does Web2MD keep Wikipedia tables and references?
Yes. Wikipedia articles are heavy on tables, infoboxes, and numbered references, and Web2MD converts tables to Markdown table syntax and preserves the reference list so an AI can trace claims back to citations — instead of the mangled text you get from copy-pasting the rendered page.
Which parts of a Wikipedia article convert badly?
Three things are genuinely hard. Multi-level nested tables (common in sports and election articles) flatten into one Markdown table and lose the grouping. Math rendered as images has no text to extract, so formula-heavy articles come through with gaps. And collapsed sections — anything behind a "show" toggle — only convert if you expand them first, because the extension reads what is actually rendered. Prose, standard tables, lists, and citations are reliable; those three cases need a check.
Should I strip the infobox before feeding it to an AI?
Usually yes for long articles. The infobox repeats facts that also appear in the prose, so keeping both spends tokens twice and occasionally makes a model contradict itself when the infobox is more current than the body. Keep it when the infobox is the data you want — population figures, release dates, taxonomy — and drop it when you are asking for a summary or an argument.
Start Converting Wikipedia Content Now
Install the free Web2MD Chrome extension and convert any webpage to Markdown with one click.
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