Upload a PDF and get the key points in seconds — perfect for research papers, reports and long documents you don't have time to read in full.
Up to 10 pages free. The document is sent securely over HTTPS to the TextSight API and processed on our servers.
Upload a PDF or load the example document.
Research papers, reports and contracts distilled to what matters, in seconds.
Documents are sent securely over HTTPS to the TextSight API and processed on our servers.
Free covers 10 pages; Pro handles 200-page PDFs with table extraction and .docx export.
The hard part of a long document isn't reading the words — it's finding the handful that actually matter. A research paper buries its real finding in the discussion section. A quarterly report hides one number you needed under three pages of preamble. A 30-page contract turns on two clauses. Skimming for them is slow, and skimming badly means you miss the point entirely.
This tool reads the whole PDF so you can read the gist. Drop a file in, and it returns the document's main claims, key figures and conclusions as a short set of points — enough to decide whether you need the full text, what to quote, or what to flag for someone else. It's built for the moment you have ten documents and time for one.
A PDF isn't really a text file — it's a layout of glyphs positioned on a page, often split across columns, headers, footnotes and page breaks. So the first job is extraction: pulling the selectable text out in reading order and stripping the running headers, page numbers and boilerplate that would otherwise pollute the summary. Documents with a real text layer (anything exported from Word, Google Docs, LaTeX or most publishing tools) come through cleanly here.
From there the cleaned text is segmented into sections and passed to a language model that identifies the load-bearing sentences — the claims, results and decisions — and rewrites them into a tight set of points. The aim is faithful condensation, not paraphrase for its own sake: the summary should say what the document says, in fewer words, without inventing detail that isn't on the page. Longer files are read in passes so that a finding on page 28 still makes it into the result.
Almost anyone whose inbox fills up faster than they can read it. A few of the patterns we see most:
The single biggest factor in summary quality is whether the PDF has real, selectable text. Files exported from a word processor work best. A scanned or photographed document is just images of text to a computer until it's run through OCR, so an image-only PDF can come back thin or empty — that's a sign you need character recognition first, not a fault in the summary. Clean, well-structured documents always summarize better than ones stitched together from screenshots.
Treat the output as a fast, faithful orientation — not a substitute for the document when stakes are high. A summary compresses, and compression drops nuance: a hedge in the original ("preliminary results suggest") can flatten into something more confident than the authors intended. Tables, charts and the fine print of figures don't translate well to a few sentences either. If a number or a clause will drive a real decision, open the PDF and check it in context. The summary's job is to get you to the right page faster.
You can run a quick summary free, 3 a day, with no signup — enough to test it on a document of your own. A free account raises that to 5 a day, and the paid tiers raise the daily limit further (25 a day on Starter, unlimited on Pro) and add longer-document handling for when one paper turns into twenty. And if what you actually need to know is whether a document was written by AI rather than what it says, that's a different question — point the Document Detector at it instead.