Extractive Text Summarizer guide
Reduce long text to a shorter selection of its most informative original sentences with a privacy-friendly local workflow.
What this tool does
This tool uses a deterministic extractive summarization algorithm rather than a cloud language model. It separates the input into sentences, counts informative recurring words, gives a small weight to the opening sentence, and selects the highest-scoring sentences. Selected sentences remain in their original order and wording.
Because it extracts rather than rewrites, the output is predictable and easy to compare with the source. It will not invent new claims, but it can omit context when the source is poorly structured or when important meaning is spread across several low-scoring sentences.
How to use it
- Paste at least 20 words.
- Choose the desired summary length.
- Select Summarize text.
- Read the output against the source for missing context.
- Copy the result when it accurately represents the original.
Benefits
- Frequency-based extractive scoring
- Adjustable output length
- Preserves source wording for factual reliability
- Keeps selected sentences in their original order
Getting a useful summary
Structured articles, reports, meeting notes, and explanatory prose work best because they contain complete sentences and repeated topic words. Lists, poetry, chat fragments, source code, and text with very short sentences may not provide enough linguistic structure for useful scoring.
The percentage control refers to the approximate share of source sentences retained, not the share of words. Always review a summary before publishing or using it for an important decision; extraction can preserve a sentence while leaving out a qualification elsewhere in the source.