Free Online Text Summarizer

How this summarizer works (honestly)

This is an extractive, frequency-based summarizer — a classic text-processing technique, not artificial intelligence and not machine learning. It works in four transparent steps:

1. Split your text into sentences.
2. Count how often each significant word appears in the whole document (common filler words like "the", "and", "is" are ignored via a stopword list).
3. Score every sentence by the frequencies of the words it contains, normalized for length so long sentences don't automatically win.
4. Keep the top-scoring sentences and return them in their original order, so the summary reads like a condensed version of your text.

The upside of this old-fashioned approach: the summary is always a faithful subset of your original sentences. It never invents facts, never hallucinates, and you can trace every summary sentence back to its source. Use Sentences mode when you want an exact length ("give me 3 sentences"), and Percent mode when the document length varies — 25% of a 40-sentence report keeps 10 sentences automatically.

What extractive summarization can't do

• It doesn't understand meaning. It scores words by frequency, so a sentence can rank highly just for repeating terms — and a crucial sentence stated once, subtly, can be missed.
• It can't rephrase. Unlike an AI model, it never rewrites or combines ideas; the summary is stitched from original sentences, which can feel choppy.
• It struggles with short text. Below about five sentences there is little worth compressing — frequency statistics need volume to be meaningful.
• It misses implied points. Dialogue, humor, poetry, and arguments where the conclusion is implied rather than stated will summarize poorly.
• Abbreviations can split sentences. "Mr.", "e.g." and similar may create extra sentence breaks, slightly skewing the ranking.

For study notes, meeting minutes, and news articles it is genuinely useful. For nuanced or creative writing, read the original.

Worked example

Take this 8-sentence, 91-word paragraph about solar energy (paste it into the tool to reproduce the result exactly):

Solar panels convert sunlight into electricity for homes and businesses. The cost of solar panels has fallen sharply over the past decade. Modern solar panels reach over 22 percent efficiency in bright sunlight. Batteries store solar energy for use at night and on cloudy days. Many governments offer tax credits that lower the cost of solar panels. Solar energy produces no carbon emissions while it generates electricity. Installers mount panels on rooftops or in open fields facing the sun. Solar power is now the cheapest new energy source in many countries.

With Sentences mode set to 3, the tool scores every sentence by word frequency and keeps the three highest-scoring ones in their original order:

Solar panels convert sunlight into electricity for homes and businesses. The cost of solar panels has fallen sharply over the past decade. Many governments offer tax credits that lower the cost of solar panels.

The stats panel reports 91 original words → 34 summary words, 3 / 8 sentences kept, 63% shorter — exactly what the tool computes. Switch to Percent mode at 25% on the same text and it keeps 2 of the 8 sentences automatically, adapting to whatever length you paste. Notice the summary is stitched from the original sentences verbatim: nothing reworded, nothing invented.

Who uses an extractive summarizer

Students condense long readings and lecture notes into reviewable key sentences before exams. Researchers skim the core claims of papers and reports without reading every paragraph. Professionals turn rambling meeting notes into the sentences that actually carried information. Journalists and newsletter writers pull the load-bearing sentences from press releases and source documents. Job seekers compress long job descriptions to the sentences that matter for tailoring a CV. Because the output can never invent facts, it's also the safe choice for anyone who needs a shorter version they can quote — every summary sentence traces back to the source text.