Text Statistics

Get detailed statistics about your text including character count, word count, lines, sentences, and paragraphs. This comprehensive text analysis tool provides instant insights into your content's structure and length. Perfect for writers, students, and content creators meeting specific requirements.

Frequently Asked Questions

The tool provides comprehensive text metrics including total characters (with and without spaces), word count, line count, sentence count, paragraph count, average word length, and reading time estimates. This gives you complete insight into your content's structure.

Words are counted by splitting text at whitespace boundaries. The tool accurately handles multiple spaces, line breaks, and various text formats to provide precise word counts that match standard writing software expectations.

Yes! The tool is perfect for checking essay word limits, social media character limits, meta description lengths, or any content requirement. You'll instantly see if your text meets the specified constraints for your project.

Yes, the character count includes all characters: letters, numbers, punctuation, and symbols. The tool also provides a separate count excluding spaces, giving you flexibility for different counting methods.

Reading time is calculated based on average reading speeds (typically 200-250 words per minute for adults). While individual reading speeds vary, this provides a reliable estimate for planning content length and reader engagement.

You can paste combined text from multiple documents into a single input to get aggregate statistics. This is useful for checking total word count across several sections or chapters of a larger work.

Monitor article length to hit target word counts for SEO, ensure social media posts stay within character limits, check if blog posts meet minimum length requirements for ranking, verify meta descriptions fit within 155-160 character limits, or ensure content density meets editorial guidelines. Stats help optimize content for specific platforms.

Yes! Analyze API documentation length for consistency, measure code comment density, check README file comprehensiveness, verify commit message lengths meet standards, or track documentation growth over time. Statistics help maintain consistent documentation quality across projects.

Calculate word counts for translation quotes and budgets, estimate translation time based on word count, identify content expansion when translating to languages that require more space, track character limits for UI text that must fit in buttons or labels, or compare source and target text lengths for quality assurance.

Absolutely! Verify thesis or dissertation sections meet required word counts, ensure abstracts stay within journal submission limits, check if responses meet assignment length requirements, monitor literature review comprehensiveness, or track writing progress by comparing word counts over time. Essential for academic compliance.