Text Summarizer
Shrink long text to its strongest sentences, privately, with no AI model and no upload. 100% free, no signup. Everything runs in your browser.
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This free text summarizer condenses long text by selecting its most important sentences, using extractive summarization: each sentence is scored by the frequency of its significant words and its position in the text, and the highest-scoring sentences become your summary. You choose the length, either a number of sentences or a percentage of the original, and you get two views: the finished summary, and a highlight view showing exactly which sentences were kept in context. A copy button takes the result wherever you need it.
I want to be completely straight about what this is, because summarizer is a word that now implies AI: this tool is algorithmic, not AI. There is no language model, no model download and no generation. It runs entirely in your browser and your text is never uploaded, which makes it genuinely private. It selects your own sentences and never rewrites them, and I consider that a feature: the summary cannot hallucinate, misquote or invent a claim, because every word in it came from you.
How to use
- Paste your article, report, transcript or notes into the input box.
- Choose your summary length as either a fixed number of sentences or a percentage of the original text.
- Read the summary, built instantly from the highest-scoring sentences in their original order.
- Switch to the highlight view to see the kept sentences marked inside the full text, so you can judge what was left out.
- Adjust the length control if the summary feels too thin or too long; it rebuilds as you move it.
- Click copy and paste the summary into your notes, email or document.
Why use our text summarizer?
Extraction cannot lie to you, and that is the quiet advantage over AI summarizers. A generative model paraphrases, and paraphrases can drift from what the source actually said. This tool only surfaces sentences that already exist in your document, so if the summary claims something, the original text claims it too, word for word. For anything where accuracy matters more than polish, that trade is worth making.
The privacy is real, not a policy promise. Because the scoring runs in your browser with no server involved, you can summarize a confidential contract, a patient information sheet or an internal memo without the text leaving your machine. There is no account, no history and nothing to delete afterward.
The highlight view earns its place. A summary in isolation asks you to trust it; the highlight view lets you audit it in ten seconds, scanning what was kept against what was dropped. I added it after catching an early version of my own algorithm skipping a paragraph I considered essential, and it has been the fastest way to sanity-check results ever since.
It matches how people actually read online, which is to say, barely. Research from Nielsen Norman Group has shown for decades that people scan rather than read. Handing a colleague five key sentences instead of five pages is not laziness; it is meeting readers where they are.
It is fast enough to use on everything. No model loading, no queue, no rate limit: results are effectively instant even on long documents. That speed changes it from a special-occasion tool into a reflex, the thing you do to any long text before deciding how much attention it deserves. When I need to know how compressed my result is, I check both versions with the word counter.
Who is this tool for?
Students and researchers triage reading lists with it. Paste a paper or chapter, pull a 10 percent summary, and decide in a minute whether the full text earns a careful read. The extracted sentences also quote cleanly, since they are the author's actual words with no paraphrase risk.
Professionals condense meeting transcripts and long email threads. A one-hour call transcript becomes a dozen sentences you can paste into a follow-up message, and because nothing is uploaded, using it on internal business content is not a compliance conversation.
Writers and editors use it as a focus check on their own drafts. Summarize your article to five sentences: if the summary misses your main argument, the argument is probably buried. I run my own posts through this before publishing, then check the tone separately with the readability checker.
Anyone feeding text to AI chat tools uses it as a pre-compressor. Extracting the core third of a long document before pasting it into a chat means fewer tokens and tighter answers, and you can measure exactly what you saved with the AI token counter.
Frequently asked questions
No, and I say that plainly because most tools blur it. This is algorithmic extractive summarization: sentences are scored by word frequency and position, and the top scorers are selected. No language model is involved, nothing is generated, and nothing is downloaded or uploaded.
Yes, genuinely. The entire process runs in your browser's JavaScript. Your text is never transmitted, stored or logged, which makes the tool suitable for confidential documents that should never be pasted into a cloud service.
Never. The summary is built only from sentences that exist in your original, kept word for word and in their original order. That means it cannot introduce errors, invented claims or subtle changes of meaning, which is exactly why I built it this way.
The tool counts how often each significant word appears across your text, ignoring filler words. Sentences earn scores from the frequency of the words they contain, with a boost for sentences near the start of the text, where writers tend to state their point. The highest scorers become the summary.
For a quick gist of an article, 15 to 25 percent works well. For a long report where you only need the thrust, five to eight sentences is usually enough. The highlight view makes it cheap to experiment until the summary carries the load you need.
Anything without real sentences: bullet lists, tables, poetry and dialogue-heavy transcripts confuse sentence scoring. It also cannot synthesize an argument across sources the way a human abstract does. It selects; it does not think, and I would rather tell you that than oversell it.
No hard limit. Because everything runs locally, long documents simply take slightly longer to score, usually still well under a second. Very long books are better summarized chapter by chapter so the frequency scoring stays focused on one topic at a time.