PDF Summarizer
Get the argument, the key points, and the numbers out of a long PDF.
The PDF stays on your device; only the extracted text is summarized.
Scanned PDFs have no text layer — use OCR first if the result is empty.
The PDF is parsed locally. Extracted text is sent for summarization and not stored.
What this tool does
A forty-page report usually has one argument, five supporting points, and a decision hidden near the end. This tool reads the text of a PDF and gives you those pieces in a form you can scan in a minute.
The PDF itself is opened in your browser. Only the extracted text is sent to the summarizer, and it is not stored. Choose a short brief for a quick read or a detailed summary when you need the supporting detail.
Browser-side extraction
PDF.js pulls the text on your device; the file is never uploaded.
Structured output
A short brief, key points, and suggested next steps — not one undifferentiated blob.
Length control
Short for a skim, detailed when you need the evidence.
How to use PDF Summarizer
- 1
Choose a PDF
Text-based PDFs work best. Scans need OCR first.
- 2
Extract and summarize
We read the text locally, then summarize the content.
- 3
Scan the brief
Read the summary, check the key points, and copy what you need.
Example
A PDF with an executive summary, five sections of survey data, and a closing recommendations chapter.
Summary: Demand is growing fastest in mid-market teams, but buyers are consolidating vendors rather than adding new ones. Key points: • 62% of surveyed teams plan to reduce tool count • Mid-market adoption grew 18% year over year • Price and integration are the top selection criteria
FAQ
PDF Summarizer questions
Is my PDF uploaded?
No. The PDF is parsed in your browser. Only the extracted text is sent to the summarizer, and it is not stored. This is different from most PDF summarizers, which ask you to upload the file.
How long can the PDF be?
The current limit is about 40,000 characters of extracted text per summary — roughly 25–35 pages of dense prose. Longer documents can be summarized section by section.
Does it work on scanned PDFs?
No. A scan has no text layer. Run it through OCR first (our Image to Text tool handles images; a PDF scanner can add a searchable layer), then summarize the searchable copy.
How accurate is the summary?
It is extractive-first: the summary is built from sentences in the document, so it stays close to the source. Treat it as a reading aid, not a substitute for checking numbers or legal language.
Can I summarize a confidential document?
The file stays local, but the extracted text is sent to our server for summarization. If the text itself is regulated or secret, do not use a hosted summarizer — run a local model instead.