text-statistics

Reading time estimation analyzes total word count and divides by configurable reading speed (typically 200–250 words per minute) to output minutes required. Word count includes total and unique word totals, enabling length verification and complexity assessment across documents, reports, and web content.

Readability analysis generates Flesch Reading Ease scores (0–100 scale) and grade-level estimates, quantifying audience comprehension difficulty. These metrics assess whether writing suits target readers—academic, professional, or general audiences—based on sentence structure and vocabulary complexity.

Complexity analysis evaluates sentence structure patterns, vocabulary richness, and syllable distribution to quantify writing difficulty. Results identify overly dense passages and guide editing for clarity, supporting content evaluation, academic assessment, and readability improvement workflows.

Submit text or attach documents to retrieve comprehensive metrics including character count, word count, and reading time estimates. Instant output confirms whether content meets minimum or maximum length thresholds for publishing, SEO, or editorial standards.

Text statistics processing accepts standalone document uploads and user-provided text blocks across markdown, plain text, and common writing formats. Analysis generates standardized metrics output applicable to blog posts, reports, academic papers, and editing workflows.

Readability scoring identifies whether writing clarity matches audience expectations before publication, preventing audience mismatch and engagement loss. Grade-level and Flesch scores surface overly complex phrasing early, enabling targeted revision to improve accessibility.