Paste text — we’ll count words and key structure metrics. Works with Unicode and multiple languages.
| Metric | Value |
|---|---|
| Run a count to see results here. | |
Use the stats to validate content length and structure.
Word count is a basic but critical check for SEO briefs, copywriting, and content audits. This tool counts words, characters (with and without spaces), and also highlights structure metrics like sentences, paragraphs and lines.
We detect sequences of letters/numbers using a Unicode-aware regular expression. Words can include apostrophes and hyphens inside the token (e.g., they’re, state-of-the-art). This avoids inflated counts caused by splitting punctuation symbols.
Editors use different segmentation rules for hyphenation, punctuation and whitespace normalization. Some tools treat numbers or hyphens as separators, which shifts totals. This tool focuses on consistent, language-agnostic detection for clean auditing.
Characters “with spaces” count every visible Unicode character including whitespace. Characters “without spaces” remove whitespace to measure content density and compactness.
Sentences are detected by punctuation boundaries (. ! ? …) followed by whitespace or end-of-string. This gives a stable approximation even if spacing is inconsistent.
Average word length correlates with readability: high averages often indicate jargon-heavy text. Monitoring this metric helps tune tone and accessibility without subjective judgment.
It collapses repeated spaces and reduces multiple line breaks to improve sentence/paragraph detection. The original text is untouched — normalization affects only internal calculations.
Exporting only metrics protects privacy and avoids transmitting user text. The exported CSV contains counts only — no content is stored or uploaded.
Yes. The regex matches Unicode letters and numbers, so the tool can count words in languages using Latin, Cyrillic, Greek and other scripts without configuration.