AI Text Summarizer

Summarize long articles, documents, and text content instantly with AI-powered extraction

Extractive Summary
Extract key sentences
Percentage Based
Reduce by percentage
Sentence Count
Fixed sentence count
Keyword Focus
Focus on keywords
Short (20%) 50% Detailed (80%)
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Original Words
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Original Sentences
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Summary Words
0%
Reduction

Frequently Asked Questions

How does the AI text summarizer work?

Our AI summarizer uses advanced natural language processing (NLP) algorithms to analyze text. It identifies key sentences, important keywords, and main topics using techniques like TF-IDF (Term Frequency-Inverse Document Frequency) scoring, sentence ranking, and semantic analysis. The algorithm preserves the most important information while removing redundant content.

What types of text can I summarize?

You can summarize: articles, blog posts, research papers, news reports, emails, documents, essays, meeting notes, transcripts, legal documents, technical manuals, academic papers, and any other text content. The tool works best with well-structured text of at least 3-4 paragraphs for meaningful summarization.

What is extractive summarization?

Extractive summarization identifies and extracts the most important sentences from the original text without modifying them. This preserves the original wording and facts while reducing length. It's different from abstractive summarization which generates new sentences. Our tool uses extractive methods for accuracy and reliability.

How accurate is the summarization?

Our AI achieves approximately 85-90% accuracy for standard texts. Accuracy depends on text quality, structure, and length. Well-written articles with clear topics get the best results. The tool identifies key topics and main points effectively but should be reviewed for critical applications.

Can I customize the summary length?

Yes! Use the slider to adjust from 20% (very concise) to 80% (detailed) of the original text length. You can also choose different summary types: extractive (key sentences), percentage-based, fixed sentence count, or keyword-focused summarization for different use cases.

What are the main use cases for text summarization?

Text summarization is essential for: students summarizing research papers, professionals condensing reports, researchers reviewing literature, content creators analyzing articles, journalists processing news, lawyers reviewing case files, business people summarizing meetings, and anyone who needs to process large amounts of text efficiently.

Is my text stored or saved anywhere?

No! All processing happens locally in your browser using JavaScript. We don't store, save, or transmit your data to any servers. Your text remains completely private and secure on your device. This also means the tool works offline after the initial page load.

Is this tool completely free?

Yes, 100% free! No registration required, no hidden fees, and no limitations on usage. You can use it as much as you need for personal or professional purposes, whether for academic research, business analysis, content creation, or any other need.