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Text StatisticsGet comprehensive text statistics including characters, words, sentences, and more.

Text Statistics illustration
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Text Statistics

Get comprehensive text statistics including characters, words, sentences, and more.

How to Use
1

Paste Text

Paste or type the text to analyze.

2

View Statistics

See comprehensive statistics in a visual dashboard.

3

Analyze Patterns

Review character frequency and text metrics.

What Is Text Statistics?

The Text Statistics tool provides a comprehensive analysis of your text, displaying a dashboard of metrics including character count (with and without spaces), word count, unique words, sentences, paragraphs, lines, empty lines, average word length, average sentence length, estimated reading time, and estimated speaking time. It also identifies the longest word and shows the top 10 most frequent characters. This gives you a complete picture of your text composition.

Why Use Our Text Statistics?

  • Comprehensive text analysis in a visual dashboard
  • Reading and speaking time estimates
  • Character frequency analysis
  • Identifies longest word and text patterns

Common Use Cases

Content Writing

Analyze articles for length, complexity, and readability metrics.

Academic Writing

Check word counts and text statistics for academic papers.

SEO

Analyze content length and composition for SEO optimization.

Presentations

Estimate reading and speaking times for presentation scripts.

Technical Guide

The tool computes multiple metrics simultaneously. Characters are counted with String.length. Words use split(/\s+/) on trimmed text. Sentences are split on period, exclamation, and question marks. Paragraphs are split on double newlines. Unique words use Set after lowercasing. Average word length is total character length of all words divided by word count. Reading time uses 200 WPM and speaking time uses 130 WPM. The longest word is found by reducing the word array. Character frequency is computed by iterating through lowercase non-space characters and counting with an object map, then sorting by count.

Tips & Best Practices

  • 1
    Reading time is estimated at 200 words per minute
  • 2
    Speaking time is estimated at 130 words per minute
  • 3
    Average word and sentence length indicate text complexity
  • 4
    Top characters help identify text patterns and language characteristics

Related Tools

Frequently Asked Questions

QHow is reading time calculated?
Word count divided by 200 (average adult reading speed of 200 words per minute), rounded up.
QHow is speaking time calculated?
Word count divided by 130 (average speaking speed of 130 words per minute), rounded up.
QWhat counts as a sentence?
Text segments separated by periods (.), exclamation marks (!), or question marks (?).
QWhat counts as a paragraph?
Text blocks separated by one or more blank lines.
QHow are unique words counted?
Words are lowercased and deduplicated, so "The" and "the" count as one unique word.

About Text Statistics

Text Statistics is a free online tool from FreeToolkit.ai. All processing happens directly in your browser — your data never leaves your device. No registration required. No ads. Just fast, reliable tools.