Upload a PDF and get a structured, editable mind map in under a minute
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Drag and drop or click to upload any text-based PDF — up to 10 MB, hundreds of pages are fine
MindLM parses headings, sections, and figures to rebuild the document outline, not just a flat summary
Browse the full document as a visual tree, tweak nodes inline, then export as PNG, SVG, or Markdown
MindLM reads heading levels, font weight, and section numbering to rebuild the real chapter hierarchy. You get the author’s structure back — not a flat bullet dump.
Handles hundreds of pages in a single pass. The AI won’t truncate the middle of your textbook or skip the conclusion of a research paper.
English, Chinese, Japanese, Spanish, French, German, and more — the mind map matches your PDF’s language automatically.
Every node is live — rename, reorganize, add notes, or delete sections. Export as PNG/SVG/Markdown or share a public link.
See what people actually use it for — chances are your problem is on this list.
Drop an arXiv or journal PDF in and get the contribution, methodology, and conclusion as a single visual before you invest an hour reading it. Decide whether the paper is worth the deep read in 60 seconds.
Upload a 30-page chapter before an exam and get back the concepts, sub-concepts, and key definitions laid out in a hierarchy that matches the book. Add your own notes to the nodes as you study.
Consultants and analysts: drop a vendor’s 40-page white paper in and walk into the meeting knowing the positioning, claims, and gaps. Export as PNG to drop into your own deck.
Contracts, terms of service, and compliance policies are brutal to read linearly. See the full clause hierarchy in one view, then jump to the clauses that actually matter for your case.
Running a session on a non-fiction book? Generate the structural outline, pick the chapters to discuss, share the mind map with the group as a pre-read, and everyone walks in aligned.
Any text-based PDF — exported from Word, LaTeX, Google Docs, Pages, academic publishers, or most modern document tools. Scanned or image-only PDFs need OCR first; MindLM currently focuses on embedded-text PDFs for the cleanest structural extraction.
Very accurate on well-formatted documents with consistent heading styles — academic papers, textbooks, and published reports typically hit 90 %+ structural accuracy. Poorly formatted PDFs (no heading styles, PDF-from-scanned-slides) fall back to semantic segmentation, which is still useful but less precise.
Yes. MindLM handles English, Chinese, Japanese, Korean, Spanish, French, German, Portuguese, Italian, Russian, and more. The generated mind map defaults to the source language; you can also ask it to translate during generation.
Files up to 10 MB are supported, which typically covers 300–500 pages of text-only PDF. For extremely long documents, the AI still reads the whole file but intelligently prioritizes structurally significant sections so the mind map stays navigable.
Yes. Uploaded PDFs are processed in memory, used only to generate your mind map, and never shared with third parties or used for model training. You can delete the generated mind map (and the underlying content) from your dashboard at any time.
High-resolution PNG and SVG for slides, reports, and printing; Markdown for Notion, Obsidian, or any Markdown editor; and a public share link for sending to classmates or colleagues. Free accounts include all export formats.
Upload a PDF and get a structured, editable mind map in under a minute. Free to start, nothing to install.
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