Word Counter

The tool splits your text by whitespace boundaries and counts each token as a word. It processes everything in real-time directly in your browser — no server calls are made.

Yes. The counter handles Unicode, accented characters, and multibyte scripts. However, languages without whitespace word boundaries (Chinese, Japanese, Thai) may report character-level counts differently than word counts.

Sentences are detected by terminal punctuation marks (period, question mark, exclamation mark). Abbreviations like 'Dr.', 'Mr.', and 'U.S.' are handled to avoid false splits.

It measures readability on a 0-100 scale. Higher scores mean easier text. A score of 60-70 is considered standard for adult readers. It uses average sentence length and syllables per word.

It translates readability into a US school grade level. A score of 8 means an 8th grader can understand the text. Most web content should target grades 6-8.

Token estimation uses character-per-token ratios specific to each model family. GPT models average ~4 characters per token, while Claude averages ~3.5. These are estimates — actual tokenization depends on vocabulary.

Vocabulary richness (also called Type-Token Ratio) is the number of unique words divided by total words. A higher ratio indicates more diverse vocabulary. Academic writing typically has a ratio of 0.4-0.6.

Reading time is based on an average reading speed of 238 words per minute (adult average from research). Speaking time uses 130 WPM, and skimming uses 400 WPM.

N-grams are consecutive word sequences. Bigrams are 2-word phrases, trigrams are 3-word phrases. They help identify repeated phrases and keyword patterns useful for SEO analysis.

Keyword density is the percentage of times a keyword appears relative to total words. SEO best practice recommends 1-2% density. Above 3% may be flagged as keyword stuffing.

Emojis are detected using Unicode ranges and counted separately. They are not counted as words but are included in the character count.

Invisible characters include zero-width spaces, zero-width joiners, soft hyphens, and other non-printing Unicode characters that can cause issues in text processing.

No. All processing happens 100% in your browser using JavaScript. Your text never leaves your device. Nothing is uploaded, stored, or shared with any server.

Yes. The tool is optimized for documents up to 1 million+ characters. It uses efficient single-pass algorithms and memoized computations to maintain responsiveness.

The Gunning Fog Index estimates years of formal education needed to understand text. It considers average sentence length and percentage of complex words (3+ syllables). Ideal score: 7-8 for broad audiences.

SMOG (Simple Measure of Gobbledygook) predicts the grade level needed to understand text. It counts polysyllabic words in a sample of 30 sentences. Most accurate for healthcare and government documents.

Unlike syllable-based formulas, Coleman-Liau uses character counts and sentence counts. It is reliable for short texts where syllable counting may be inaccurate.

Page count is estimated at 250 words per page, which is the standard for double-spaced, 12pt font documents (academic standard). Actual page count depends on formatting.

Stop words are common function words (the, is, at, which, on, etc.) that carry little meaning. The word frequency analyzer can filter these out to show more meaningful content words.

Each platform has character limits for posts. The tool shows how much of each platform's limit your text uses: X (280 chars), LinkedIn (3000), Facebook (63,206), Instagram (2200), and more.

The tool identifies common passive voice patterns (e.g., 'was written', 'is being made'). It uses pattern matching rather than full grammar parsing, so some complex passives may be missed.

Yes. You can export your full analysis as a TXT report, CSV data, or JSON. You can also copy individual statistics or the complete word frequency table.

Characters include everything: letters, numbers, spaces, punctuation, symbols, and emojis. Letters only count alphabetic characters (a-z, A-Z, and Unicode letters).

Hyphenated words separated by spaces are counted as separate words. Hyphenated compounds without spaces (e.g., 'well-known') are counted as one word.

Writing insights are automated suggestions based on your text analysis: long sentences, short paragraphs, passive voice overuse, keyword stuffing, and sentence length variance.

The syllable counter uses a rule-based English heuristic that handles most common words correctly. It may occasionally miscount unusual words, borrowed terms, or proper nouns.

Research suggests 1,500-2,500 words for competitive topics. However, quality matters more than length. The tool classifies content as thin (<300), short (300-600), optimal (600-2500), or long-form (2500+).

Yes. The tool helps ensure you meet word count requirements, monitors readability for your target audience, and identifies potential style issues before submission.