Word Counter
Count words, characters, sentences and paragraphs in your text.
Count words, characters, sentences and paragraphs in your text.
Every platform you write for imposes a different ceiling or floor. A Google meta description gets truncated at roughly 155–160 characters in search results — go over and your carefully crafted ending disappears. A Twitter (X) post cuts off at 280 characters. A LinkedIn article without at least 1,500 words rarely earns algorithmic distribution. Meanwhile, your university essay has a strict 2,500-word minimum, and your professor's grading rubric penalises submissions that fall short by even 50 words.
The built-in counters in Microsoft Word and Google Docs count words — but only words. They show no character count without enabling a secondary panel, they ignore sentence length entirely, and they cannot break down paragraph density. If you are writing for multiple targets simultaneously (say, a blog post that must be 1,200+ words, with a 160-character meta description derived from the introduction), switching between tools is friction you do not need.
Paste or type your text and every metric updates in real time with no button press required:
Different surfaces have different hard constraints that are not always documented in one place:
A 3,000-word article padded with filler is worse than a focused 800-word piece. That said, word count functions as a proxy signal in several real-world contexts: search engines use content length as one of many ranking signals, academic institutions use it to ensure minimum effort, and advertisers use character counts as a hard technical constraint. This tool gives you the number — what you do with it is your call.
Hyphenated words like "well-known" are counted as one word. The counter splits on whitespace, so "well-known" is a single token. If you need to count compound words as two separate words, you would need to manually replace the hyphen with a space first.
Twitter counts URLs as exactly 23 characters regardless of their actual length, and some Unicode characters (like certain emoji or CJK characters) count as 2 characters in Twitter's system. This tool counts raw Unicode code points, so there may be a small discrepancy for tweets containing URLs or special characters.
Reading time is estimated at 225 words per minute, which is near the median adult silent reading speed from published research. It will be faster for simple listicles and slower for dense technical content — treat it as an approximation, not a guarantee.
The tool splits words on whitespace and punctuation, which works well for space-separated languages like English, Spanish, French, and German. For CJK languages (Chinese, Japanese, Korean) where words are not separated by spaces, the character count is more meaningful than the word count.