About Text Statistics

Count words, characters, lines, estimate reading time. Part of the DevTools Surf developer suite. Browse more tools in the Text / String collection.

Use Cases

• Estimate reading time for an article or documentation page to set reader expectations.
• Analyze word frequency distribution in a document to identify overused terms.
• Compare content length metrics between competing articles targeting the same keyword.
• Audit documentation for appropriate word count per section before publishing.

Tips

• Use the reading time estimate (words / 238 for average adult reading speed) as a content length signal — optimal blog post length by engagement varies by audience, but 1,500–2,000 words is a common data-driven sweet spot.
• Track unique word count as a vocabulary diversity metric — low unique word ratio indicates repetitive content that may benefit from synonym variation.
• Sentence length distribution matters more than average — documents with no variation (all short or all long sentences) score poorly on readability metrics regardless of content quality.

Fun Facts

• The average adult reading speed is 238 words per minute for non-fiction, according to a 2019 meta-analysis published in Reading Research Quarterly covering 190 studies and 18,573 participants.
• Shakespeare's complete works contain approximately 884,000 words and use around 31,000 unique words — about 5x more than the active vocabulary of an average adult.
• The longest published sentence in literature is in William Faulkner's 'Absalom, Absalom!' (1936) at 1,288 words. Faulkner never needed a word count tool.

FAQ

What word count is optimal for a blog post?

There is no single optimal. Long-form posts (1,500–3,000 words) rank higher for competitive informational queries in most niches. Short-form posts (300–800 words) work for news and product announcements. Match depth to the topic's complexity.

How is reading time calculated?

Standard calculation: word count / 238 = minutes (for silent reading by adults). Add 12 seconds per image. Round up to the nearest 30 seconds. Adjust downward for technical content where readers slow down.