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Text Summarizer

Produce an extractive summary of long articles, essays, and reports by selecting the highest-scoring sentences from the source. The engine combines word-frequency scoring, position weighting, and per-locale stop-word filtering, with the target length adjustable from brief to detailed. Reduction and reading-time statistics accompany every run, and all processing stays in the browser.

In brief

Extractive text summarization with adjustable length, reduction statistics, and reading-time estimates. Multilingual tokenizer, local processing, no upload.

Reviewed: 2026-09-18

What this tool supports

  • Extractive summarization with sentence scoring by word frequency and position
  • Adjustable summary length: brief, medium, or detailed
  • All processing runs locally in your browser
  • No data uploaded, stored, or transmitted
  • Works offline after initial page load
  • Summary, reduction statistics, and reading time computed as soon as the target length is selected
  • Clean, intuitive interface with responsive design

How to use Text Summarizer

Follow this step-by-step guide to summarize text effectively.

  • Step 1

    Paste your text

    Paste the long text you want to summarize into the input panel.

  • Step 2

    Choose summary length

    Select Brief, Medium, or Detailed to control how much of the text is retained.

  • Step 3

    Click Summarize

    Press the Summarize button to process your text.

  • Step 4

    Review the result

    Read the generated summary in the output panel.

  • Step 5

    Copy or share

    Use the copy button to save the summary to your clipboard.

Common mistakes

Entering text that is too short

Consequence: The summarizer cannot produce meaningful results from very short text.

Fix: Enter at least 100 words for best results.

Using 'Brief' for complex topics

Consequence: Key nuances may be lost in very short summaries.

Fix: Use 'Detailed' for complex or technical content.

Using very short text

Consequence: Summary quality is poor with under 20 words.

Fix: Enter at least 100 words for best results.

Summarizing very short texts

Consequence: Texts under 100 words may not have enough content for meaningful summarization.

Fix: Use the tool with texts of 200+ words for best results.

Expecting the summary to be a new sentence

Consequence: Extractive summarization selects existing sentences, not generates new ones.

Fix: The tool picks the most important original sentences. For paraphrased summaries, edit the output manually.

Best practices

  • Use text longer than 100 words for best results
  • Choose 'Detailed' for complex topics
  • Use the statistics panel to verify coverage
  • Verify coverage in the statistics tab; a reduction close to the target indicates a balanced selection.

Connected workflows

Summarize and review

Text Summarizer

Paste the source text, choose the target length, and review the extractive selection of highest-scoring sentences alongside reduction and reading-time statistics.

  1. Paste text
  2. Review summary
  3. Copy output

Browser limitations

  • Very long texts (>50,000 words) may take a moment to process
  • Clipboard access requires user permission in some browsers

Authoritative resources

Wikipedia: Automatic summarizationPublisher: Wikipedia · Reviewed: 2026-09-18

Concrete examples

Input
A long article about climate change...
Result
Key summary of the article.

The summarizer extracts the most information-dense sentences.

Frequently asked questions

How does the text summarizer work?

It uses extractive summarization: sentences are scored by word frequency and position, then the top-scoring sentences are selected to form the summary. All processing happens locally in your browser.

Is my text uploaded to any server?

No. All summarization happens locally in your browser. Your text is never transmitted, stored, or logged anywhere.

What types of text can I summarize?

You can summarize articles, essays, research papers, blog posts, reports, and any other English text. The tool works best with text longer than 100 words.

How does the summarization algorithm work?

The tool uses TF-IDF weighted scoring combined with TextRank graph ranking and MMR diversity selection to identify the most important sentences.

How accurate is the summary?

The extractive method selects the most important sentences from the original text. It preserves the original wording and meaning, making it reliable for factual content.

What is the ideal input length?

The tool works best with inputs of 100-5000 words.

Can I adjust the summary length?

Yes, use the summary length slider to control the output detail level.

Privacy and offline behavior

Text Summarizer processes all input and output locally in your browser. No data is uploaded, stored, or transmitted.