Text Truncator & Summarizer Tool

Most long texts contain a handful of sentences that carry almost all the meaning, surrounded by context, transitions and supporting detail. Text Truncator & Summarizer gives you two ways to cut to those sentences. Truncate mode hard-cuts the input at a word or character count you set and attaches a suffix: the ellipsis that signals a preview, a Read more… label for a link, or nothing at all for a database insert. Extract mode ranks every sentence in the document by how many of its content words are prominent across the whole piece, then returns the top N in their original order so the result reads as prose rather than a list of fragments.

Both modes run entirely in the browser. Paste a 50,000-character article and neither mode uploads a single character. The word-frequency scorer strips stop words before ranking, so common connectives like and, the and with do not inflate a sentence score. Only the distinctive vocabulary the author actually chose counts toward it.

Worked Example: a 87-Word Passage Cut Two Ways

The passage on screen when the page loads reads “Sunlight filtered through the canopy in long amber shafts, catching the dust motes that drifted above the forest floor…” at 87 words. Switch to Truncate, leave the preset at 50w and the suffix at … (ellipsis). The output ends at the last complete word before position 50 and appends the ellipsis: the tool backs up to the nearest word boundary rather than cutting mid-word, so the break is always clean. Switch to Character count and enter 160 to see the meta-description length Google recommends. The output stops at the last word that fits inside 160 characters and appends the suffix. Now flip to Extract Key Sentences and set sentences to keep to 2. The scorer picks the two sentences whose content words appear most frequently across the whole passage and returns them in original document order.

Algorithm: Word-Frequency Extractive Scoring

Extract mode splits the document on sentence-ending punctuation, builds a word-frequency table across the entire text (excluding 80 stop words), normalises every count against the highest-frequency content word, then scores each sentence as the mean normalised frequency of its own content words. A sentence crammed with rare words scores low; a sentence that reuses the three or four most prominent terms scores high. The top N sentences sort back into document order before output, which preserves the flow of the argument. Setting N to 1 finds the single sentence the scorer considers the thesis; setting N to 5 on a 20-sentence article gives a quarter-length extract.

What Happens When the Input Is Unusual

• Input ceiling is 50,000 characters. Characters beyond that are silently discarded before processing. The counter below the textarea shows how close you are.
• Truncation backs up to word boundaries. If the limit falls inside a word, the cut moves left to the preceding space. On a text with no spaces (a continuous string), it cuts at exactly the limit character. The suffix is appended only when an actual cut occurred; feeding a 30-word text to a 50-word limit returns the original unchanged.
• Extract with a count larger than the sentence count returns the whole document. The tool clamps sentences to keep at the actual sentence count rather than returning an error.
• Bullet lists and numbered steps confuse the sentence splitter because they rarely end in a full stop. Each bullet lands in its own “sentence” and may score low due to few distinctive words. For structured content, Truncate mode is usually the better choice.