Summarizer
Summarize a PDF without uploading it anywhere.
Drop in a report, paper, or whitepaper and get the sentences that carry its argument, ranked and returned in reading order. Extraction runs in this tab, so the file never reaches a server.
- Returns your document's own sentences, so there is nothing for a model to hallucinate.
- Shows page count, reading time, and the terms the document actually leans on.
- Handles text-based PDFs entirely client-side — the file is never transmitted.
What this summarizer actually does
It scores every sentence in your document by how much of the document's own core vocabulary it carries, then returns the strongest ones in the order they appeared. This is extractive summarisation, and the distinction matters: nothing is rewritten, so nothing can be invented. What you read is what the author wrote.
That trade-off is deliberate. An abstractive summary reads better and is occasionally wrong in ways you cannot detect without reading the source — which defeats the purpose. For triage, for deciding whether a fifty-page report deserves your afternoon, the author's own load-bearing sentences are the more useful artefact.
- Three lengths: brief, standard, and detailed.
- Key-term chips show what the document keeps returning to.
- Compression percentage tells you how much you skipped.
Why the file never leaves your browser
PDF text extraction happens in JavaScript on your machine. There is no upload step, no temporary storage, and no request carrying your document anywhere. For anyone handling a draft, an embargoed report, or a client deliverable, that is not a feature — it is the minimum bar, and most free summarizers do not clear it.
The practical limit is that scanned PDFs contain images rather than text, and there is nothing in the file for the browser to read. If that happens the tool says so plainly and offers a paste box instead of failing silently.
When a summary is not what you needed
Summaries solve a reading problem. They do not solve a distribution problem. If you are summarising your own document because the full version is not getting read, a shorter document will not fix that — it will be the same thing, ignored faster.
The version people finish is the narrated one: the same argument, the same figures, read aloud over visuals, watchable on a phone. That is what PDF2Video does with the document you just summarised, and the summary above is a reasonable script outline for it.
Frequently Asked Questions
Is this PDF summarizer really free?
Yes, and without an account. Summarising, copying, and downloading are unlimited because they run on your machine, not ours. A free account is only needed for the AI-rewritten summary and for turning the document into a narrated video.
Does my PDF get uploaded?
No. Text extraction runs in your browser using the platform's own decompression APIs. No request carrying your file is made, which is why the tool works with your network tab open and nothing to see.
Why does it not work on my scanned PDF?
A scanned document is a picture of a page. There is no text layer for the browser to read, so optical character recognition would be needed first. Run it through an OCR tool, or paste the text in directly.
How is this different from asking ChatGPT to summarize a PDF?
A language model rewrites your document in its own words, which reads better and can quietly misstate a finding. This returns your author's sentences verbatim. For a first pass on a document you have not read, verbatim is usually the safer default.