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When you need the gist of a long article, report, or document without reading every word, an extractive summary — pulling out the sentences that matter most rather than generating new text — gives you a faithful, quick condensation of the original.
This tool scores every sentence in your text by how often its meaningful words appear across the whole piece, picks the highest-scoring sentences, and stitches them back together in their original order so the summary reads coherently rather than like a shuffled list of fragments.
How it works
Paste your text and, optionally, choose how many sentences you want in the summary (it defaults to roughly 30% of the original sentence count). The tool scores each sentence based on how frequently its important words appear throughout the text, selects the top-scoring sentences, and reassembles them in their original order.
- Paste your text.
- Optionally choose how many sentences to keep.
- Click Summarize and review the result.
Examples
Summarizing a long article
Pasting a 20-sentence article and requesting a 4-sentence summary gives back the four sentences that best represent its most frequently emphasized ideas, in the order they originally appeared.
Using the default summary length
Leaving the sentence count blank on a 10-sentence document produces a 3-sentence summary (roughly 30% of the original), a reasonable starting point for most general text.
Who should use it
- Getting the gist of a long article or report before deciding whether to read it in full.
- Condensing research material while keeping the original author's exact wording.
- Creating a quick executive summary of a longer internal document.
Industry applications
- Content research and curation
- Academic and research reading
- Business reporting and documentation
Advantages
- Produces a faithful summary using your original wording, not a generated paraphrase.
- Lets you choose exactly how many sentences to keep.
- Reassembles selected sentences in original order for coherent reading.
Limitations
- Frequency-based scoring can miss a sentence that's important but uses less-repeated wording.
- Doesn't rewrite or condense within a sentence — it selects whole sentences only.
- Works best on longer, well-structured text rather than very short passages.
Common mistakes to avoid
- Expecting a rewritten, paraphrased summary rather than an extraction of existing sentences.
- Requesting too few sentences from a very long or complex document, losing important context.
- Using it on very short text where there's not enough material to meaningfully condense.
Best practices
- Start with the default sentence count, then adjust up or down based on how much detail you need.
- Use it on well-structured writing (clear topic sentences) for the best results, since frequency-based scoring favors text that repeats its main ideas.
- Treat the output as a fast first pass, not a replacement for reading the source when precision matters.
Tips
- If the summary feels incomplete, increase the sentence count rather than assuming the tool missed something important.
- Run it on individual sections of a very long document separately for more focused summaries than one pass over the whole thing.