Extractive vs generative “AI text summarizer online”#
Autocomplete often surfaces ai text summarizer online. Generative tools rewrite in new words via a model API. This page is different on purpose: it is an extractive text summarizer online free tool. It scores your existing sentences and keeps the strongest ones — it does not invent paraphrases, facts or citations.
Extractive summaries are private (no upload), free of API keys, and faithful to your wording. The trade-off is honesty: awkward sentences stay awkward, and rare-term lines can outrank a smoother but generic opener. Always do a human pass before publishing.
How this long text summarizer scores sentences#
After splitting on . ! ?, the tool tokenizes words, ignores common stopwords, and builds a simple term-frequency map for the whole document. Each sentence gets the average TF of its content words, then a light position boost so openings (and a smaller closing boost) compete fairly with dense middle paragraphs.
The top N sentences are selected, then re-ordered by their original position so the summary still reads front-to-back. Percent mode asks for a fraction of the sentence list (default 30%); count mode asks for an absolute number (default 3). When the target covers every sentence, you get the full text and 0% compression.
SEO checklist for summaries and snippets#
1. Lead with the query answer — if the opener is weak, edit after extractive selection; crawlers and readers both weight early sentences.
2. Match the job — use short summaries for social/notes; keep more sentences for executive briefs.
3. Check compression % — aggressive cuts can drop definitions searchers need; bump the target if key entities vanish.
4. Do not treat this as a meta description — SERP blurbs need ~140–160 characters and a CTA; use the meta description generator for that job.
5. Preserve entities and numbers — extractive keep/drop can omit a critical figure; paste it back manually.
6. Avoid duplicate near-clones — if two kept sentences repeat the same claim, delete one.
7. Verify claims — this tool cannot fact-check; it only ranks sentences you already wrote.
8. Re-run readability — shorter text should still score for your audience grade.
9. Label AI honestly — if a CMS asks “AI generated?”, this output is extractive selection, not generative AI.
When to use percent vs sentence count#
Percent suits a long text summarizer online workflow where inputs range from 8 sentences to 80: 25–40% usually yields a usable skim without fixing a magic number per paste. Sentence count suits checklists (“give me 3 sentences for the standup update”) and compare-the-same-N across documents.
Very short inputs (1–2 sentences) cannot compress meaningfully — the tool still returns them. For transcripts, clean speaker tags first; punctuation-poor text may be treated as one long sentence until you add breaks.