AI Text Summarizer
Instantly summarize long text into concise key points using extractive AI — runs entirely in your browser.
0 words
How it works
This summarizer uses an extractive algorithm: it scores each sentence by the frequency of its key words, boosts introductory sentences, then selects the top-scoring ones while preserving their original order.
What the Text Summarizer does
This tool condenses long text into a short summary made up of the most important sentences from the original. It uses an extractive approach, which means it selects and reuses sentences from your text rather than generating new wording. You choose how many sentences the summary should contain, from one for a single-line gist up to ten for a fuller overview.
It is well suited to articles, reports, study notes, meeting minutes, and any long passage you want to skim quickly. After it runs, you see the summary, a one-click copy button, and statistics showing the original word count, the summary word count, and how much the text was compressed.
How to use it
Paste your text into the box, drag the slider to pick how many sentences you want, and click "Summarize". The summary appears below with its compression percentage, and you can copy it instantly. If your text has fewer sentences than the number you requested, the tool simply returns the original, and if there is too little to work with it will let you know.
For the best results, give the tool well-structured prose with clear sentences rather than fragments or bullet lists. Start with three sentences as a balanced default, then increase the count if you need more detail or decrease it for a tighter summary.
How the extractive algorithm works
The summarizer first counts how often each meaningful word appears, ignoring very short and common stop words such as "the", "and", and "is". It then scores every sentence by the average frequency of the key words it contains, giving a small boost to the opening sentences because they often introduce the main idea. The highest-scoring sentences are selected and reassembled in their original order so the summary still reads naturally.
Because it extracts existing sentences, the summary always uses your own wording and will not invent facts, a common risk with generative tools. The trade-off is that it cannot paraphrase or merge ideas, so it works best on text where the key points are already stated in distinct sentences.