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Text Statistics online

Deep text analysis - characters, words, sentences, readability score

Text Statistics logo
by
CHUNKY
MUNSTER
// Input text
0
Characters
0
Chars (no spaces)
0
Words
0
Sentences
0
Paragraphs
0
Lines
0 min
Read time (200 wpm)
0 min
Speak time (130 wpm)
0
Avg word length
0
Unique words
-
Flesch reading ease

How to Use the Text Statistics Tool

  1. Paste or type any text into the input area - all counts update live on every keystroke.
  2. Read the dashboard: words, characters (with and without spaces), sentences, paragraphs, reading time, and Flesch score are all shown at once.
  3. Use the character limit to check against a target (tweet, meta description, SMS, etc.).
  4. Copy any individual stat with a click, or download the full report.

Text Statistics provides a comprehensive suite of metrics to analyze your content. Paste or type your text and every figure updates on each keystroke. This character counter handles whitespace correctly; sentences are split on . ! ? followed by a space; paragraphs are runs of non-empty lines. Reading time assumes 200 words per minute, the average for adult silent reading.

How the Text Analysis Tool Works

Useful for keeping meta descriptions under 158 characters, blog intros under 300 words, or checking that a tweet fits in 280 characters. This reading time estimator helps you audit your long-form content for engagement. Average word length and longest-word stats give a quick readability hint - short words usually mean simpler prose. The tool provides an instant sentence count and paragraph audit for any input.

Frequently Asked Questions

How does it count words?

By splitting on any whitespace (spaces, tabs, newlines) and counting non-empty runs. Hyphenated words like 'state-of-the-art' count as one word.

What words-per-minute is the reading-time estimate based on?

200 words per minute, which is the average adult silent reading pace. Slow readers manage around 150 wpm; fluent technical readers can hit 300+.

How are sentences detected?

Splits on . ! ? followed by whitespace or end of string. This means 'Mr. Smith' will be miscounted as two sentences - abbreviation handling is a known limitation.

Are characters counted in bytes or code units?

JavaScript String.length, which counts UTF-16 code units. Emoji and some CJK characters can count as 2; for pure ASCII the count matches what you'd expect.

Explore the full suite of Text tools and 290+ other free utilities like Text Statistics at Chunky Munster.

// deep diveFull guide →// by metricWord CountCharacter CounterReading TimeFlesch Score