Text summarizer

A free online tool that condenses long texts into concise summaries for quick understanding, targeting students, researchers, and professionals.

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About This Tool

The tool analyzes input text and produces a concise summary that preserves key ideas and terminology. It serves researchers, students, writers, and professionals who need quick digests of long documents, articles, or reports. By default, it performs extractive summarization to select representative sentences, while offering optional abstractive mode for paraphrased output.

How it works conceptually: the system detects language, segments content, scores sentences by importance, and assembles a coherent summary. It supports adjustable length via target word count or percentage, enabling short abstracts or longer digests. It also includes domain-aware options like preserving named entities and keeping critical numbers.

Core value and use cases: Researchers condense literature reviews; students extract key points from lectures; content teams summarize long-form sources for briefs; busy professionals maintain orientation with quick overviews. Differentiators include consistent length control, multilingual support, and reliable extraction of essential terms.

How to Use

  1. Provide inputs: paste the text to summarize and set an optional target length in words or percentage.
  2. Choose mode: select extractive by default or enable abstractive in advanced options.
  3. Run processing: initiate summarization; the system processes the input and returns a summary.
  4. Review results: assess coverage of main ideas and terms; adjust length if needed and re-run.
  5. Export or reuse: copy the summary for notes, reports, or presentations.
How to use yandex summarizer

Frequently Asked Questions

Find Quick Answers

What languages are supported?
Supports 20+ major languages with auto-detection and quality-preserving rules; results are best for languages with clear sentence boundaries and standard punctuation.
Extractive vs abstractive?
Default is extractive summarization by selecting representative sentences; abstractive summarization can be enabled as an advanced option for paraphrased output and improved readability.
How are very long texts handled?
Input is chunked into manageable blocks; each block is summarized and then stitched together with coherence heuristics to form a overall summary.
What is the output format?
Returns a plain text summary; optional statistics such as length and confidence may be provided; re-running with different target lengths is supported.

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