Count Words, Characters
& Analyze Your Text

A word counter counts words by splitting text at whitespace boundaries (spaces, tabs, newlines) and counting non-empty tokens. VerifierPro uses text.trim().split(/\s+/).filter(Boolean).length — trimming leading/trailing whitespace and filtering zero-length tokens for precise accuracy. Hyphenated words (well-being) count as one word; contractions (don’t) count as one word.

The Flesch Reading Ease scale: 70–80 is easily understood by the average adult — target for web content and blog posts. 60–70 suits educated general audiences — good for business writing. 50–60 is appropriate for professional and academic audiences. Below 30 is highly technical or academic text. Most readability research recommends targeting 60–70 for maximum online reader engagement and lower bounce rates.

Adult silent reading of online content averages 200–238 words per minute. Academic texts are read at around 150–180 wpm. For speaking, typical conversational pace is 130–150 wpm; formal speeches and lectures are delivered at 100–130 wpm. VerifierPro uses 200 wpm for reading time (conservative web reading) and 130–150 wpm for speaking time estimates.

No universal ideal exists — the right length depends on search intent and the competitive landscape for your target keyword. Benchmarks: 300–600 words for FAQ answers; 800–1,500 words for standard blog posts; 1,500–3,000 words for comprehensive guides; 3,000–5,000 words for definitive resource pages. The most reliable approach is analyzing average word counts of current top-ranking pages for your specific keyword and targeting 10–20% more depth.

Keyword density = (keyword count ÷ total words) × 100. Modern guidance: 1–2% for primary keywords is a natural occurrence range that avoids keyword stuffing penalties while signaling topical relevance. More important than density is placing keywords in the right locations: title tag, H1, first paragraph, at least one H2 and the conclusion. VerifierPro automatically filters stop words, showing only meaningful content words and their actual densities.

Unique word count (vocabulary richness) measures the number of distinct words in your text. Higher unique word counts indicate stronger vocabulary diversity and generally correlate with more engaging, authoritative writing. From an SEO perspective, a diverse vocabulary naturally incorporates semantic variations, related entities and LSI keywords — helping search engines understand topical coverage depth without mechanical keyword repetition.