Not every summarization tool needs to be a language model. Long before LLMs, a simple statistical technique — scoring sentences by the frequency of their key words — could produce surprisingly useful extractive summaries. This tool implements that classic approach transparently, entirely in your browser.
What Is the Extractive Text Summarizer?
Paste in a passage of text, choose how many sentences to keep, and the tool scores every sentence by the normalized frequency of its non-stopword content, then returns the highest-scoring sentences in their original order — a real, deterministic algorithm, not an AI-generated summary.
How to Use It
- Open the tool at /tools/extractive-summarizer.
- Paste in your text (or try the included sample).
- Adjust how many sentences you want in the summary.
- Read the extracted summary, generated live as you type.
Key Features
- No AI, no external API calls — a fully transparent, inspectable statistical algorithm.
- Frequency-based sentence scoring, in the tradition of Luhn’s classic 1958 summarization method.
- Original sentence order preserved in the output for readability.
- Runs entirely client-side — your text never leaves your browser.
When to Use This Tool
- Getting a quick extractive summary of a long article or report without sending your text to a third-party AI service.
- Understanding how frequency-based summarization actually works, since the method is fully deterministic and explainable.
- Skimming long-form content to identify its most statistically emphasized sentences.
Try It Now
Open Extractive Text Summarizer directly, or press ⌘K and type the tool name from anywhere on the site.
Part of the Text Tools collection on WebdevToolbox — free, browser-based developer tools with no login required.