Text Summarizer

Paste any article or document and extract the most important sentences automatically. No AI API — runs entirely in your browser.

10 sentences detected
145 words
71% reduction

Artificial intelligence (AI) has transformed numerous industries over the past decade.

From healthcare to finance, AI systems are being deployed to solve complex problems that once required human expertise.

Critics argue that AI systems can perpetuate and even amplify existing societal inequalities.

How it works: Uses extractive summarization — the top-scoring sentences are selected based on keyword frequency (TF). No AI API or network call is needed. All processing is local in your browser.

Frequently Asked Questions

What summarization method does this tool use?

It uses extractive summarization: the original sentences are scored by keyword frequency (how often important words appear) and the top N sentences are returned in their original order. No AI API or model is used.

Is my text sent to a server or AI service?

No. All processing is done locally in your browser using JavaScript. Your text never leaves your device.

What types of text work best?

The tool works best with structured, factual text like news articles, reports, academic papers, and blog posts. Creative or conversational text may produce less coherent summaries.

How does it decide which sentences to keep?

Each sentence is scored based on the frequency of its non-stop-word terms. Sentences with high-frequency keywords get higher scores. The first sentence also receives a small bonus since it's often the topic sentence.

Is there a minimum text length?

The tool works on any length, but it's most useful for texts longer than the requested number of summary sentences. Very short texts are returned as-is.

How Extractive Summarisation Works

This tool uses extractive summarisation — it selects the most important sentences from the original text without generating new words. The algorithm scores each sentence based on how often its words appear across the entire document (TF-IDF weighting). Sentences with the highest-scoring words are selected as the summary.

  1. Tokenise the document into sentences and words.
  2. Remove stop words (the, is, and…) that carry no meaning.
  3. Calculate word frequency across the document.
  4. Score each sentence as the sum of its word frequencies.
  5. Pick the top N highest-scoring sentences (preserving original order).

Extractive vs Abstractive (AI) Summarisation

FeatureExtractive (this tool)Abstractive (GPT, etc.)
OutputOriginal sentencesNew paraphrased text
Faithfulness100% — no hallucinationMay add incorrect facts
PrivacyRuns offline in browserSends text to API
FluencyGood for well-written textBetter for poor source text