Article to Mind Map

Paste any article URL — or just paste the text — and SpawnGraph structures the key arguments into a navigable mind map. Researchers, content creators, and students use it to convert long-form reading into a one-screen overview they can drill into selectively.

How it works

  1. 1Paste the URL or the text. Either works — pick whichever is easier given the article.
  2. 2NLP extracts the structure. Headings, sub-arguments, and supporting points become hierarchical branches on the canvas.
  3. 3Annotate and share. Recolor important branches, add your own notes, share a link, or export to outline / CSV.

Why mind-map an article instead of summarising it?

A summary collapses an article into bullets and discards the structure. A mind map preserves the argument hierarchy — main claim, supporting points, evidence, counter-arguments — and lets you drill into the parts that matter. Two articles on the same topic become directly comparable when both are maps: same root level, same branch positions, easy to spot where they agree and contradict. Researchers building literature reviews and analysts comparing reports use this constantly. SpawnGraph uses client-side NLP — you can verify zero network calls when generating from pasted text by opening DevTools → Network.

Method 1: paste the URL

For publicly accessible articles — most blogs, news outlets, public research abstracts, Wikipedia, documentation pages — pasting the URL is the fastest path. SpawnGraph fetches the page, extracts the article body, and structures it. The fetch step is server-assisted because browsers block cross-origin requests, but no content is stored after the article body is returned to your browser, and the NLP structuring then runs client-side. Paywalled URLs do not work via this path — the fetcher cannot see content gated behind a login. For deeper details see the URL to Mind Map feature page.

Method 2: paste the text

For paywalled content, newsletter emails, PDFs, or anything you can select-and-copy, paste the text directly into SpawnGraph. You are reading the article in a context where you are authenticated (your email client, your subscription session, your PDF reader), so the content is available to you — just copy and paste. The NLP works identically on pasted text as it does on fetched URLs, and because the text never leaves your browser, this path is fully client-side. See the Text to Mind Map feature page for what the engine looks at when structuring pasted text.

Best use cases for article mind maps

Researchers synthesising sources for a literature review. Content creators analysing competitor pieces to find gaps. Students reading long-form articles for a class. Knowledge workers digesting industry reports. Analysts comparing the same news event across multiple outlets. In every case the underlying article still exists; the mind map is a navigation overlay that compresses the reading time and surfaces the structure on one screen. See Mind mapping for research and Mind mapping for content creators for specific workflows.

In short: SpawnGraph converts articles to mind maps by URL or by pasted text. The structure is preserved, not rewritten. Paywalled content works via the paste-text path. Free, no signup required.

Frequently asked questions

How do I convert an article to a mind map?
Paste the article URL into SpawnGraph for publicly accessible content, or paste the article text directly. The NLP engine structures the argument hierarchy into an editable mind map in seconds.
Can I mind-map a paywalled article?
Not via URL — the fetcher only sees the public version of a page. For paywalled content, copy the article text from your reader (you're authenticated there) and paste it directly into SpawnGraph's text import.
Does SpawnGraph summarise or preserve the article structure?
SpawnGraph preserves the structure. NLP detects headings, sub-headings, and argument flow, and lays them out as branches — it does not rewrite or summarise. Every node traces back to a specific span of the source.
What types of articles map best?
Long-form content with clear structure — news articles, blog posts, research summaries, Wikipedia entries, documentation pages. Articles with strong headings produce the cleanest maps.

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