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Text Summarizer

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Summarize long text into shorter versions. Client-side processing, no data sent to servers.

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Quick answer

How does an extractive text summarizer choose sentences?

It scores each sentence by how many of the text's most frequent meaningful words it contains, then keeps the top-scoring sentences in their original order. In this 8-sentence example, a 40% summary keeps 3 sentences and a 30% summary keeps 2. Every kept sentence is your own, so nothing is invented.

Which sentences are kept at 40% and 30%
SentenceKept at 40%Kept at 30%
Solar panels turn sunlight into electricity.YesYes
Solar panels are made of silicon cells.YesNo
Each cell produces a small amount of power.NoNo
Panels are wired together to form an array.NoNo
The array feeds an inverter that converts the power for home use.NoNo
Sunlight varies by season and weather.NoNo
Batteries can store solar power for the evening.YesYes
Many homes also sell extra power back to the grid.NoNo
Formula:
Sentence score = sum of the frequencies of its words ÷ its length (at least 8 words), with a small bonus for the first sentence. The percentage you choose sets how many sentences are kept.
Assumptions:
An extractive summary can drop an important sentence that is stated only once, and kept sentences may refer to ones that were removed. The length can be set from 10 to 80 percent.

These figures are computed with the same formulas as the Text Summarizer above. Change the inputs in the tool to see your own result.

What Text Summarizer does

The Text Summarizer condenses long articles, reports and notes into a shorter summary by choosing the sentences that carry the most information. It is extractive, meaning it selects your own sentences rather than writing new ones, so it cannot invent facts. Paste your text, choose how short the summary should be, and copy the result. It runs entirely in your browser, and nothing you paste is uploaded.

FV
Reviewed by the FreeToolsVerse team · Last updated · How we check our tools

Features and benefits

  • Never invents content: every sentence comes from your text
  • Adjustable length
  • Private and instant
  • Free, no sign-up

How to use Text Summarizer

  1. Paste or type the text you want to summarize
  2. Choose the summary length as a number of sentences or a percentage
  3. Click Summarize
  4. Copy the summary, or change the length and try again

Who should use it

Made for writers and students. Typical uses:

  • Deciding whether a long article or report is worth reading in full
  • Preparing for a meeting by skimming key points from documents
  • Creating a first draft of an abstract or description
  • Condensing your own notes

Example

A 1,200-word article summarised to 20 percent yields about 240 words made of the sentences that best represent the whole text, in their original order. A shorter setting of three sentences keeps only the most central points.

Limitations and accuracy

Extractive summaries can read choppily and pronouns may refer to sentences that were not selected. It works best on English prose with clear sentences and is less suited to lists, tables and dialogue. Text inside scanned images or PDFs must be extracted first, for example with the OCR tool. Read the original when detail matters.

Accuracy: Results follow documented rules and are tested with known inputs. Review the output before relying on it.

Expert Tip

For a long document, summarize it in sections and then summarize the summaries. It gives better coverage than one pass over everything.

Frequently asked questions

How does the text summarizer work?
It scores each sentence by how well its important words represent the whole text, then selects the highest-scoring sentences and shows them in their original order.
Does it rewrite the text?
No. It picks existing sentences, so nothing is invented, but the result can read a little abruptly.
How long should the summary be?
About 20 to 30 percent for an article, or three to five sentences for a long report. Try two lengths and compare.
Does it work for other languages?
It works best on English text because the scoring is tuned for English.
Is my text uploaded?
No. Summarizing happens in your browser.

Text Summarizer: the complete guide

How extractive summarising works

There are two ways to summarise. An abstractive summariser writes new sentences that express the meaning of the text, the way a person would. An extractive summariser, like this tool, does not write anything new: it scores every sentence for how well it represents the whole text, then selects the highest scoring sentences and shows them in their original order. The result is made of your own sentences, so it never invents facts.

Sentence scoring uses signals such as how often a sentence's important words appear in the rest of the text, where the sentence sits, and how long it is. Sentences that use the words that recur through the document tend to carry the main topic.

Choosing the length

You can choose the summary length as a number of sentences or as a percentage of the original. A useful starting point is 20 to 30 percent for an article, and three to five sentences for a long report. A shorter summary keeps only the most central points; a longer one keeps more context and detail. Try two lengths and compare: if the short one misses something important, increase the length.

  • For a news article, the top few sentences usually capture the who, what and when.
  • For a research paper, summarise the abstract, introduction and conclusion separately.
  • For meeting notes or emails, a very short summary of two or three sentences works well.
  • For a long document, summarise in sections, then summarise the summaries.

Strengths and limits of extraction

The main advantage is fidelity. Every sentence is one the author wrote, so nothing is distorted, and there is no risk of the tool inventing something plausible. It is also fast, private and consistent. The limits follow from the same design: the sentences are chosen independently, so the summary can read a little choppily, pronouns like "he" or "this" may refer to a sentence that was not selected, and ideas that are spread over several sentences may be only partly represented.

It works best on English text with clear sentences, such as articles, reports and essays. It is less suited to lists, tables, dialogue, poetry and text without normal punctuation.

Using a summary well

A summary is a map, not the territory. Use it to decide whether a document is worth reading in full, to prepare for a meeting or to refresh your memory. Do not rely on a summary for decisions where detail matters, such as contracts, medical or legal information and instructions. Read the original for those.

If you are summarising for study, use the summary as a check: read the original first, write your own summary from memory, then compare it with the tool's. Differences show you what you missed.

Getting a cleaner summary

The quality of an extractive summary depends on the quality of the text you paste. Remove menus, cookie notices, image captions, advertisements and repeated headers and footers, because they compete with real sentences. For transcripts, delete timestamps and speaker labels. For text with headings, keep the headings out of the pasted body, since a short heading can be scored like a sentence.

If the summary misses a point you care about, raise the length by a few sentences. If it repeats the same idea, shorten it. Because the choice is made from the text alone, adding a clear opening sentence and a conclusion to your own notes improves the result.

Related tools

To reword a summary in a different style, use the Paraphrasing Tool; to fix errors in the result, use the Grammar Checker. The Word Counter tells you how long the summary is compared with the original, and the article how long should it be: word count guide gives typical lengths for summaries, abstracts and descriptions. Your text is processed in your browser and is never uploaded.

Learning resources

Explore more in Text Tools, read the guides and articles, or see how we test our tools.

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