The summarizer handles any substantial block of text: news articles, academic papers, blog posts, meeting notes, legal documents, and more. It works best on text that has a clear structure and topic: a well-written article of 500–5000 words typically produces the most accurate summary. For detailed writing metrics like word count, reading time, and readability score before or after summarising, the Word Counter gives you a complete statistical breakdown. For detecting whether the original text was AI-generated, the AI Text Detector analyses it before you summarise.

No. The summarizer extracts and preserves the most important sentences rather than paraphrasing them.

Yes. The summarizer prioritises retaining the core conclusions, key facts, and main arguments of the text while removing elaboration, background context, and repeated points. You should still read the full text for any purpose where exact wording or nuanced arguments are critical. If you want to check the sentiment or readability of the summarised output, the Text Analyzer runs a complete analysis of tone, keyword density, and complexity on any text you provide.

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