Text Summarizer
A rule-based extractive summarizer that splits your text into sentences, scores each by the frequency of its meaningful words (stopwords ignored), and returns the top sentences in their original order. Pick 3, 5, or 7 sentences and see the reduction percentage. Runs entirely in your browser — no AI service, no uploads.
Examples
A 12-sentence news article about a product launch.
The 3 most representative sentences in original order, ~70% shorter.
How it works
This is an extractive summarizer. It does not write new sentences; it picks existing ones. The text is split into sentences, every meaningful word is counted across the whole text, and each sentence is scored by the average frequency of the meaningful words it contains.
- Common words such as “the”, “and” and “would” are ignored when scoring.
- The 3, 5 or 7 highest-scoring sentences are kept.
- They are shown in their original order, so the summary still reads in sequence.
It works best on factual writing with a clear topic, like news and reports, and on text at least a few paragraphs long. It cannot paraphrase or merge ideas, and abbreviations with full stops, such as “Dr.” or “U.S.”, can be mistaken for the end of a sentence. The word list is English.
How to use Text Summarizer
Why use this tool
Frequently asked questions
No. It is a rule-based extractive method that scores sentences by word frequency — no external AI or machine learning service.
Preserving order keeps the summary readable and faithful to the source flow, even though sentences are chosen by score.
Found a bug or have an idea?
ToolOrbit is actively developed — feedback directly shapes what gets built next.
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