Reports and white papers
Organize sections, findings, supporting observations and recommendations from a long digital report.
MindMap AI
Summarize a text-based PDF into an editable visual mind map without OCR.
The PDF summarizer extracts selectable text inside your browser, then sends the extracted text for AI generation. The original PDF file is not first uploaded to a file server, which reduces unnecessary file handling while still producing an editable mind map.
This workflow is intended for text-based PDFs such as digital reports, papers, guides and manuals. It does not perform optical character recognition, so a scanned document made only of page images needs OCR elsewhere before it can be summarized here.
Organize sections, findings, supporting observations and recommendations from a long digital report.
Create an initial map of the question, approach, results and limitations before a detailed scholarly reading.
Separate concepts, procedures, requirements and warnings so the document is easier to navigate later.
Review central themes and chapter-level ideas in legally obtained, text-based learning material.
After you choose a file, readable text is extracted locally in the browser. The tool checks the file size, page count and extracted text length before requesting a summary.
The result is a new editable mind map, not a modified copy of the PDF. Page design, images, tables and exact pagination are not reproduced, so important visual evidence should still be reviewed in the original file.
Extract and summarize readable PDF text in three steps.
Select a text-based PDF up to 10MB and 50 pages.
Readable text is extracted in your browser without OCR.
AI summarizes the document into an editable visual structure.
See topics and supporting ideas instead of a single paragraph.
The generated structure is checked against the supplied text.
Continue refining the summary in the mind map editor.
Try selecting and copying a sentence in your PDF viewer. If you cannot, the file is probably scanned or image-based.
Choose a file focused on the subject you need. Large appendices and unrelated sections can dilute the resulting hierarchy.
Multi-column layouts, unusual fonts or complex tables may extract in an imperfect order, so inspect the final map carefully.
Use the map to locate ideas, but confirm figures, footnotes, diagrams and quotations in the original PDF.
The current version accepts a PDF up to 10MB and 50 pages, with no more than 40,000 extracted characters. Password-protected files, scanned pages and files without readable text are not supported.
PDF extraction focuses on text. Charts, images, handwriting, mathematical layout and table relationships may be missing or flattened, so the summary should not replace a visual review of the document.
Not yet. This version supports PDFs that contain selectable text and does not perform OCR.
PDF files can be up to 10MB, 50 pages and 40,000 extracted characters in this initial version.
No. Text is extracted locally in the browser and only the extracted text is sent for generation.
Open it in a PDF viewer and try to select and copy a sentence. If copied text is readable, extraction will usually work. If only a rectangular image is selected, the file likely needs OCR.
Only their extractable text may be available. The tool does not interpret page images or preserve complex table structure, so review visual elements and numerical relationships in the original PDF.
It may exceed 10MB, be password-protected, contain no selectable text or produce more than 40,000 extracted characters. Scanned files can also appear empty to a text extractor.
Not reliably. The summary is organized by meaning rather than page layout. Keep the original PDF available when you need to locate an exact quotation, figure or footnote.