Word Counter

Whether composing academic essays with strict length caps, drafting concise social media updates for platforms like X/Twitter or LinkedIn, or optimizing website articles for organic search relevance, monitoring exact textual metrics is a fundamental requirement for writers and developers. **Unicode-Aware Word Tokenization:** Traditional simple word counters rely on simplistic whitespace splitting (`text.split(' ')`), which breaks down when handling hyphenated words, non-breaking spaces, em-dashes, or multilingual Unicode alphabets. Our word counting engine prioritizes modern browser-native `Intl.Segmenter` capabilities where available, falling back gracefully to robust regex boundaries. This ensures precise counts across international languages, accented characters, and complex punctuation. **Comprehensive Content Metrics:** 1. **Word Count:** The total quantity of distinct word tokens detected. 2. **Character Count (Total):** Complete tally of all glyphs, numerals, punctuation marks, and spaces. 3. **Character Count (No Spaces):** Crucial for character-restricted forms, SMS gateways, and print typesetting. 4. **Sentence Count:** Evaluates end-of-sentence punctuation (periods, question marks, exclamation marks) while prudently filtering out standard abbreviations (e.g., Dr., Mr., etc.). 5. **Paragraph Count:** Identifies natural text blocks delimited by newlines. 6. **Estimated Reading Time:** Calculated at an average adult reading velocity of 200 words per minute. 7. **Estimated Speaking Time:** Calibrated at an average verbal speech rate of 130 words per minute for keynote and presentation prep. 8. **Top Keyword Density:** Extracts the most frequent terms along with percentage distribution, featuring a toggle to filter common grammatical stop words (e.g., 'the', 'is', 'at'). The application handles massive documents exceeding 1,000,000 characters smoothly via debounced background processing. Sensitive text is never uploaded to any remote server.