Text to Mind Map: Paste Any Text, Get an Editable Mindmap

Paste a topic or paste the text itself

Whether you use the box at the top of this page or the workspace after you sign in, MindLM reads your input in one of two modes, and the mode decides what ends up in your map.

If you type something short (under 200 characters), or a short request that starts with an instruction such as "make a map of the French Revolution", MindLM uses topic mode. It builds a framework from what the model already knows. That is handy for finding angles before you write, but check the facts yourself, because nothing in the map comes from a source you provided.

Longer source text is normally handled in content mode, which asks the AI to organize the supplied material without adding outside information. The result can still contain errors or omissions. Requests under 500 characters can trigger topic mode when they contain an instruction or the words "mind map". If you need a map of a specific article or set of notes, paste the source itself. In the signed-in workspace, check the mode shown under the text box before you generate.

Convert notes into a mind map, then export Markdown

1. Paste the notes. Keep dates, names, and conditions that affect their meaning. Use the signed-in workspace if you need to edit or export; the box on this page is an anonymous preview.
2. Check the settings. In the workspace, confirm content mode and choose English output for English notes. Fast and Standard detail are available on Free. Review the credit estimate before generating.
3. Compare the branches with the source. Check one decision, its owner, and its deadline. A target must not become a measured result, and a conditional task must not become a commitment.
4. Save and export. Free lets you rename node text; adding or deleting nodes requires Pro or Max. Save your edits, choose Markdown in the export menu, then open the downloaded .md file in Obsidian or another text editor. It is a copy of the saved outline; later changes do not sync automatically.

For a complete worked example, the meeting-notes walkthrough provides the original text, an archived generated map, and a suggested correction. You can download its English Markdown output before creating an account. The export guide covers the file formats and save requirement.

How your text becomes branches

In content mode, the first-level branches are the main topics the AI finds in your text, and the sub-nodes hold the points, examples and details that sit under each topic. Text that already has some shape gives the cleanest result: headings, numbered lists, one idea per paragraph, or a speaker label on each turn of a transcript. A wall of unbroken text still works, but the AI has to guess where one topic ends and the next begins, and the grouping is looser.

A few habits that make a noticeable difference:

• Cut what you don't want mapped. Email signatures, cookie banners copied along with an article, or a long list of attendees all become nodes if you leave them in.
• Keep one source per map. Two unrelated articles pasted together produce a map that tries to merge them under shared themes.
• Paste links into the right tool. In the box on this page, a link starting with http:// or https:// is treated as a web page: MindLM fetches the article and maps it. For YouTube videos, use the YouTube summarizer. In the workspace after you sign in, pasting a YouTube, X or web page link offers to switch you to the matching input.

Long text: what happens past 10,000 characters

The box on this page takes up to 5,000 characters. Signed in, the Free plan takes up to 100,000 characters per map in the workspace. Up to 10,000 characters is mapped straight away. Above that, the job runs as a background task you can follow in the task tray at the bottom right, and leaving the page doesn't stop it.

Texts over 60,000 characters are split into 30,000-character chunks (up to 20 chunks), summarized piece by piece and merged into a map. That extra summarization can omit details or regroup sections. If you need to inspect individual chapters, split the text at natural breaks and make one map per part, subject to your credits and daily limit. Pro and Max also offer a Detailed setting, which still needs checking against the source.

Choosing settings before you generate

In the workspace after you sign in, the toolbar under the text box has four options. The box on this page uses the defaults: the Fast model, Standard detail, and a map in the language of your text.

• Output language. Auto keeps the language of your text. You can also force one of 9 languages, so English meeting notes can come back as a Chinese map in one step.
• Model. Fast is the default and is available on every plan. The Pro model costs more credits and needs a Pro or Max plan; compare its draft with your source rather than assuming it preserves every detail.
• Detail level. Standard (main branches plus key details) is the default on every plan. Concise and Detailed are on Pro and Max.
• Map style. Summary follows the structure of your text. Action pulls out methods you can apply: when to use them, how, and their limits. It works best on tutorials, playbooks and lessons-learned notes. Both styles cost the same.

What it costs

You can try it on this page without an account: 3 tries per IP in total, up to 5,000 characters each. To edit or export, sign up for a free account. It comes with 10 credits plus 1 for each daily login. Free accounts can generate at most 3 maps a day, and each generation requires sufficient credits; the daily login credit does not guarantee 3 maps. The workspace shows an estimate before you generate. Anonymous tries don't use account credits. The pricing page has the full plan comparison.

When text isn't the right input

• You have the file, not the text. Copying text out of a PDF often breaks lines in the middle of sentences and drops the headings. Upload the PDF instead, so the document's own structure guides the map.
• The source is a video. Pasting a transcript works, but the YouTube summarizer fetches the captions for you.
• You want a written summary. The output is always a mind map. If you need prose for an email or a report, a paragraph summarizer is a better fit. A Markdown export of the map gives you an indented outline, which is the closest MindLM gets to prose.

For the full list of limits and keyboard shortcuts, see the text input docs.