Text Summarizer
Paste an article, report or essay and get the sentences that matter most. Set how short the summary should be and choose between a paragraph and bullet points.
- Runs in your browser
- No sign-up
- Free to use
Show selected sentences in the original
How to use Text Summarizer
- Paste the text you want to shorten. Longer texts with clear sentences give the best results.
- Drag the slider to set the summary length as a share of the original.
- Choose paragraph or bullet-point output.
- Read the summary, then copy or download it. Adjust the length and it updates instantly.
Text Summarizer features
Uses the author's own sentences
The summary is built from sentences in the original, so nothing is invented or misquoted.
Adjustable length
Keep anywhere from 10% to 60% of the sentences.
Paragraph or bullets
Switch output style to suit notes, emails or study sheets.
Highlights in context
See which sentences were selected, marked within the original text.
Fully private
Works without an account and without sending your text to any server or AI service.
Instant and repeatable
The same text and settings always give the same summary.
When to use Text Summarizer
- Getting the gist of a long article or report before deciding to read it in full.
- Producing a first draft of an abstract or executive summary.
- Condensing meeting notes or documentation into key points.
- Creating study notes from a textbook passage.
Text Summarizer FAQ
How does the summarizer decide what is important?
It counts how often each meaningful word appears, ignoring common words such as “the” and “and”. Sentences containing many of the frequent words are assumed to carry the main ideas, with a small boost for sentences near the start, and those are selected.
Does it use AI to rewrite the text?
No. It is an extractive summarizer: it selects existing sentences and does not paraphrase or generate new wording. That means it cannot introduce facts that were not in the source.
What kind of text works best?
Factual, well-structured writing such as news articles, reports, documentation and essays. Dialogue, poetry, lists and very short texts do not summarise well with this method.
Does it work in languages other than English?
It works with any language that separates words with spaces. The filter for common words is English, so results in other languages are somewhat less focused.
Is the summary always accurate?
It reflects what the text emphasises most, which is usually but not always what matters most. Treat it as a quick overview and check the original before relying on details.
Extractive versus abstractive summaries
There are two ways to summarise text automatically. Abstractive methods write a new, shorter text in different words, the way a person would; this is what large language models do. Extractive methods pick out the most representative sentences and present them unchanged.
Extraction is simpler, but it has real advantages. Because every sentence comes from the source, the summary cannot contain a fabricated claim, and the process is transparent: you can see exactly which sentences were chosen. It also runs instantly on your own device, so confidential documents need not be sent to a third party.
The trade-off is polish. Extracted sentences may refer to something mentioned earlier, and the result can read less smoothly than a hand-written summary. For understanding what a document is about, however, a good extract is often all that is needed.