Word Counter

Word Counter is a live counting surface for text: the moment you type or paste, it reports words, characters with and without spaces, sentences, paragraphs, lines, unique words, average word length, reading time, speaking time and a pages estimate — no button to press, because every keystroke recomputes the numbers. The draft autosaves in your browser, so a half-finished essay or caption is still there after a tab accident; nothing is uploaded, and clearing the field clears the draft.

Character counting here uses Unicode grapheme clusters instead of JavaScript's .length property, and the difference matters in exactly the places character limits bite. The family emoji 👨‍👩‍👧 is one visible character but eight UTF-16 code units, a flag is two code points that render as one symbol, and a skin-tone modifier disappears into the hand that holds it. Platforms count what users see, so this counter counts the same way — which is why the emoji sentence that JavaScript calls 35 characters long fits an Instagram bio at 28.

Words follow Unicode word segmentation, not a naive space split. Contractions stay whole — don't is one word, not two — hyphenated compounds count each part, and text written without spaces is segmented properly: 你好世界 is two dictionary words, not one incomprehensible blob or four mystery units. That also means the tool is honest about Japanese and Chinese copy, where counting spaces would report zero words in a full paragraph. Reading time assumes 200 words per minute and speaking time 130, the rates most coaches and caption tools cite.

The limit chips turn raw counts into decisions. Turn on X post (280), Instagram bio (150) or Meta description (155) and a progress bar appears: neutral while there is room, amber from 75% of the cap, red with an exact over-by count once the text exceeds it. Several chips can stay on at once, which is how a social manager trims one caption against three platforms without three tabs. For deeper work — Flesch scores, keyword density, frequency tables — send the same text to Readability Score, Character Frequency or Keyword Extractor; this page counts, those pages analyze.