Text Summarizer

Boil articles down to their most representative sentences with extractive frequency scoring.

Summarize long text instantly. Free extractive summarizer picking the most representative sentences — no AI, no uploads.

Calculator Inputs

About Summarize

Boil articles down to their most representative sentences with extractive frequency scoring.

Each sentence scores by the frequency of its content words (stopwords ignored), normalized by length so medium sentences win over rambles and fragments. The top N keep original order, so the summary still reads like the article.

Extractive means no new words are invented — faithful, but it cannot synthesize or simplify. For nuance, read the full text. Everything runs in your browser.

Where it is used

TL;DR-ing long reads, triaging research, briefing notes, and checking what an article really emphasizes.

How to use the Summarize

  1. Text To Summarize — enter the value (e.g. Paste an article…).
  2. Summary Length — enter the value.
  3. Calculate — press the Calculate button to see the result instantly above.

Formula

Word-frequency scoring with length normalization; top-N sentences in original order.

Examples

Example

inputText:Cats are wonderful pets. They sleep most of the day. Dogs are loyal companions. They love long walks in the park every morning.
sentenceCount:3
Result: Top 3 representative sentences in order

Frequently Asked Questions

Extractive vs abstractive?
Extractive lifts real sentences (faithful, choppy). Abstractive rewrites like a human (smooth, can hallucinate) and needs AI.
Why did an odd sentence win?
Frequency rewards repeated terms. Keyword-stuffed or repetitive passages can game it — a known limit of the method.
How many sentences should I pick?
Roughly the square root of the sentence count, or 10–20% of length. Three suits most articles under 1,000 words.