AI Tools
Summarize long text quickly
The Text Summarizer condenses long articles, documents, and text passages into shorter summaries by identifying and extracting the most important sentences. This is known as extractive summarization, where the summary is composed of sentences taken directly from the original text.
Reading lengthy reports, articles, or research papers is time-consuming. This tool helps you get the key points quickly without reading every word. Students use it for study notes, professionals use it for meeting summaries and report digests, and researchers use it to quickly scan papers for relevance.
Paste your text, choose the desired summary length, and get a concise version that captures the main ideas. The summarization algorithm scores sentences based on word frequency and position, then selects the highest-scoring sentences to form the summary.
The tool uses extractive summarization: it scores each sentence based on word frequency, sentence position, and other factors, then selects the top-scoring sentences to form the summary. It does not rewrite or paraphrase.
The algorithm works best with English text. Other languages may produce usable results, but the scoring is optimized for English word patterns and sentence structures.
There is no hard limit. Very long texts (book-length) may take a moment to process, but the tool handles articles and reports of typical length without issues.
This tool uses a statistical approach (extractive summarization) rather than a large language model. It selects important existing sentences rather than generating new text, which makes it fast, private, and does not require an API connection.