Text Summarizer
Summarize long texts using extractive summarization
How to use this tool
- Paste your long text or article in the input area
- Set the number of sentences you want in the summary
- Click Summarize to extract key sentences
- Copy the summary to use elsewhere
About this tool
Text Summarizer is an online, free tool that uses extractive summarization to identify and extract the most important sentences from your text. No registration required! Unlike AI-generated summaries, it preserves the original wording by selecting sentences based on keyword frequency and relevance. It's perfect for quickly condensing articles, research papers, or any long-form content. The algorithm analyzes word importance across the document and selects sentences that contain the most significant information while maintaining the original order for coherent reading.
Frequently asked questions
How does this summarizer work?
It is extractive, not generative. The tool scores every sentence by how many of the document's important words it contains, picks the highest scoring ones, and returns them in their original order. No sentence is rewritten, so every word in the summary came from your text.
How is that different from an AI summary?
An AI model writes new sentences that paraphrase the source, which reads more fluently but can introduce claims the original never made. Extractive summarisation cannot invent anything, because it only ever selects. It is less elegant and completely faithful, which is the right trade for research notes, legal text and anything you have to be able to defend.
How many sentences should I ask for?
Between three and five for a typical article. Too few and the summary loses the connective logic between points; too many and you are back to skim-reading the original. Adjust the count and compare, since the right number depends on how dense the source is.
Why does the summary read a little disjointed?
Because selected sentences are lifted out of their surroundings, and any sentence that started with 'However' or 'This means' loses the thing it referred to. That is inherent to extraction. It is a reading aid rather than finished prose.
What kinds of text does it handle well?
Well-structured prose with clear sentence boundaries: articles, reports, essays and documentation. It works poorly on dialogue, bullet lists, poetry and heavily formatted material, none of which have the sentence structure the scoring depends on.
Is my text uploaded to a server?
No. The whole analysis runs in JavaScript on your own device, which is unusual for a summarizer and means the tool is safe for confidential documents.