Text Analyzer

A text analyzer measures a document using defined rules for characters, words, sentences, and paragraphs. Those rules are not universal: Unicode grapheme clusters, emoji sequences, punctuation, whitespace, and abbreviations can change the result. A useful counter makes the measurement predictable and shows enough detail to explain why the total differs from an editor, API, or publishing platform.

Paste the final text and confirm whether the target limit counts spaces, line breaks, markup, or only visible words. Check samples containing hyphenated terms, URLs, code, quoted sentences, and non-Latin scripts. For a product contract, document the counting algorithm and test it with fixtures rather than relying on a visual estimate. The count is a measurement, not a quality judgment; readability and context still require human review.

Drafts, support messages, and internal notes may contain information that should not be uploaded merely to count it. Local analysis returns immediately and lets a writer or developer check a limit before submitting a form. The browser's result should still be compared with the receiving system if the limit is enforced server-side, because different Unicode normalization or tokenization rules can produce a different boundary result.