Text Summarizer
Extract key points from long text using TF-IDF scoring
How the Summarizer Works
This tool uses TF-IDF (Term Frequency-Inverse Document Frequency) scoring to identify the most important sentences in your text. TF-IDF measures how important a word is to a document relative to a collection of documents. Sentences with higher-scoring terms are ranked as more important and extracted for the summary.
Summary Modes Explained
Key Points mode extracts the most important sentences as a bullet list, making it easy to scan. Paragraph mode combines top sentences into a flowing paragraph. TL;DR mode extracts the single most important sentence. Adjust the length slider to control how much of the original text is retained in the summary.
When to Summarize Text
Text summarization is valuable for research, studying, content curation, and quickly understanding long documents. Use it to create executive summaries, study notes, article abstracts, or quick overviews. For the best results, provide well-structured text with clear sentences.
Summary Review Workflow
Use summaries as reading aids, not final source material. Before publishing, submitting, or citing a summary, verify names, dates, statistics, and quotations against the original text. For school, editorial, or professional work, pair the summary with readability, grammar, plagiarism, and AI-authorship review.
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