QuickMergePDF Summarizer
Short answer: To summarise a long PDF, load the document and review the key sentences selected from its text. QuickMerge runs extractive summarisation in your browser and does not send the document to an AI server.
A one-page brief from a long document — the key sentences, extracted by a real algorithm running entirely in your browser. Your document is never sent to an AI server.
How do I summarise a long PDF?
Drag & drop here
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Summary
Next steps
Before this step
- extract text from a scan first — a scanned PDF has no text to summarise.
Related tools
- get the full editable text — when a summary is not enough.
- summarise one section at a time — longer documents give vaguer summaries.
Browse all OCR and extraction tools, or see every QuickMerge tool.
No completed size benchmark is published for this tool. See measurement coverage and limitations; stated upload limits are application guards, not tested device capacity.
A checked example
Synthetic examples checked in Chromium on Linux, September 9, 2026. The HEIC input is a licensed sample.
The orchard project source was summarized with Short (3 sentences). The selected sentences were: “The orchard project reviews water use and irrigation across the community garden.” “Garden volunteers record water use and irrigation readings every Monday morning.” “The garden team reviews irrigation results and water use with community volunteers.” Download the actual summary.
The important warning “Do not drink this water.” was omitted. Its five words fall below the six-word sentence minimum, so the ranker never considered it. Read the original before acting on a summary.
Frequently Asked Questions
Every word is scored by how frequently it appears across the document (ignoring common stop-words). Each sentence is scored by the significance of its words, normalized for length, with a small boost for opening sentences. The top sentences are shown in their original order, alongside the document's dominant key terms.
The document is probably a scan with no text layer. Run it through our free OCR tool first — also fully on-device — then summarize the result.
No. Text extraction (pdf.js) and sentence ranking both run in your browser. You can watch the network tab: no request ever carries your document.
Yes, by adjusting how many sentences are kept. Longer settings suit dense reports; shorter ones suit a quick orientation.
Not directly — a scan has no text layer. Run OCR on it first, then summarise the recognised text.
No. It is extractive: it scores sentences already in your document and returns selected ones verbatim. No AI service is contacted. The result can still omit context, exceptions or details, so verify it against the original.
Read the selected sentences in context
The browser extracts text from up to 60 PDF pages or a TXT file, normalizes whitespace and selects existing sentences. It does not contact a generative AI service.
Choose the length
Short keeps up to 3 sentences, Medium 6 and Detailed 10. Only sentences with 6–80 words enter the ranker, which favors recurring English words. Short warnings, dates and non-English text can be poorly represented.
Start with readable text
Image-only scans need OCR in a separate step. Inspect recognized text before summarizing it. Tables and slides can lose meaning when their layout is reduced to sentences.
Check consequential details
Find each selected sentence in the original and read surrounding exceptions and definitions. The summary can quote accurately while omitting decisive context. Use it to navigate the source.