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Text Statistics

Analyze your text and get detailed statistics.

Words 0
Characters 0
Chars (no spaces) 0
Sentences 0
Paragraphs 0
Avg Word Length 0
Reading Time 0m
Longest Word -

How to use the Text Statistics Analyzer

Whether you are writing for SEO, publishing an article, or checking an assignment word count, knowing your statistics helps you write better content. Stats update live as you type — no button needed.

  1. 1

    Paste or type your text

    Enter text in the large textarea. All statistics update instantly with every keystroke — no need to click any button or wait for results.

  2. 2

    Check the stat grid

    Review Words, Characters, Characters without spaces, Sentences, Paragraphs, Average Word Length, Reading Time, and the Longest Word in the grid below the textarea.

  3. 3

    Use Reading Time for content planning

    The reading time estimate tells you how long it takes an average reader to finish your text. Aim for 5–7 minutes for blog posts and under 2 minutes for landing page copy.

Frequently asked questions

How is reading time calculated?

Reading time is estimated at 200 words per minute — a common average for silent reading of general content. The result is rounded up to the nearest minute. Academic or technical text typically takes longer; skimming is faster.

What counts as a word?

A word is any sequence of non-whitespace characters. Hyphens within compound words (e.g. "well-known") count as one word. Numbers and punctuation attached to a word are included as part of it for counting purposes.

How are sentences detected?

Sentences are detected by splitting on ., !, or ? followed by whitespace or end of text. This is an approximation — abbreviations like "e.g." or "Dr." may be counted as sentence boundaries, slightly overstating the count.

How is a paragraph counted?

A paragraph is a block of text separated from the next block by one or more blank lines (double newlines). Single line breaks within a block are not counted as paragraph separators.

Who uses text statistics?

Content marketers checking article length for SEO targets, students verifying essay word counts, UX writers estimating reading time for onboarding flows, and authors tracking draft progress all benefit from live text statistics.