Text Summariser
Extract the most important sentences from a block of text using TF-IDF scoring. Paste any article or document and get a concise summary instantly.
Frequently Asked Questions
How does the summariser work?
The tool uses an extractive summarisation approach based on TF-IDF (Term Frequency–Inverse Document Frequency) scoring. Each sentence receives a score based on the importance of the words it contains — words that appear often in a sentence but rarely across the full document score higher. The top-scoring sentences are then returned in their original order to form a coherent summary.
What is the difference between extractive and abstractive summarisation?
Extractive summarisation (used here) picks actual sentences from the original text and stitches them together. No new words are generated — the output is always a subset of the input. Abstractive summarisation, by contrast, generates new sentences that may paraphrase or condense the original, similar to what a human writer would do. Extractive methods are faster, fully offline, and guaranteed to be factually accurate because nothing is invented.
How many sentences should I choose?
A good rule of thumb is to aim for roughly 20–30% of the original sentence count. For a 10-sentence paragraph, 2–3 summary sentences usually capture the key points. The tool lets you choose from 1 to 10 sentences — increase the count if the summary feels incomplete, or reduce it for a tighter extract.