Word counter

No. All counting happens locally in your browser with JavaScript. Your text never leaves the page, so there is nothing stored and nothing leaked.

Reading time uses 200 words per minute, the most common convention for reading-speed estimates. Speaking time uses 130 words per minute, the typical comfort pace for reading aloud.

A sentence is any sequence ending in . ! ? or .... Multiple punctuation marks still count as a single sentence, and empty whitespace between them is ignored.

No. Paragraphs are counted only when separated by a blank line, and blank lines themselves are ignored, so you get the paragraph structure you actually see in the text.

A word counter removes guesswork: you hit word limits for essays, blog posts, and social captions exactly, track reading and speaking time, and spot bloat as you write. Because every metric updates live, you can tighten a draft and watch the numbers change instead of estimating by eye.

Paste or type your text in the box and the word counter shows the exact total live. Write or trim until it reads 1,000. As a rule of thumb, 1,000 words is roughly 2 pages single-spaced or 4 pages double-spaced at a standard 12pt font.

They split your text on whitespace into a word list, then count its entries. Characters are counted as the length of the raw string, sentences are detected from terminal punctuation, and paragraphs from blank-line separation. This page does all of that in JavaScript inside your browser.

At the 200 words-per-minute average used here, 500 words take about 2.5 minutes to read and 1,000 words about 5 minutes; a 150-word post is under a minute. The reading estimate divides your word count by 200, and the speaking estimate by 130.

Use the numbers as feedback: over-length sentences show up in the sentence count, bloat in the word count, and reading time tells you how long your audience will stay. Trim weakest words and watch the total drop, or expand until a section matches its neighbors.

With a standard 12pt font and 1-inch margins, 1,000 words is usually 4 pages double-spaced or about 2 pages single-spaced. Font size, line spacing, and margins all shift the page count, which is exactly why word count is a more reliable metric than page count.

The most accurate one counts by the same definition your editor or publisher expects - most use whitespace-delimited words, the convention in Word and Google Docs. This counter uses that exact convention and recomputes on every keystroke, so the number is never an estimate.

There is nothing to install or turn on. Open the page and start typing or paste your text - the word, character, sentence, paragraph, reading, and speaking counts all begin updating immediately with no account and no activation step.

ChatGPT often gets word counts wrong because LLMs process text as tokens, not words, and their counts are probabilistic estimates. This counter is deterministic: it literally splits your text and counts the results, so the number is exact and it runs privately on your device with no login.

No. The counter works from a single character up, so even a two-word caption or a 1,000-character tweet is measured correctly. There is no signup threshold and no minimum length to use it.

AI models break text into token units and predict counts probabilistically, so their totals drift and can change between prompts. A word counter instead applies a strict rule - split on whitespace and count - which produces the same exact answer every time for the same text.

Live totals for words, characters including spaces, characters excluding spaces, sentences, paragraphs, reading time, and speaking time. Everything recomputes as you type, runs entirely in the browser, and none of your text is ever uploaded.

There is no imposed limit. The counter handles whatever text you paste, recomputing live until the browser naturally becomes the constraint with extremely large documents. You can count a single word or a 50,000-word manuscript.