Text Statistics Analyzer Tool

Analyze text statistics

Get instant text statistics including counts, reading time, and frequency analysis for faster editing and optimization.

Related tools

Why use a text analyzer?

Meet word limits, sanity-check drafts, spot overused terms, or export a quick metrics snapshot before publishing—without sending your draft to a server.

Benefits

  • Live metrics: update as you type.
  • Reading time: simple 200 WPM estimate.
  • Word mix: surface repeated long tokens.
  • Character mix: letter and digit frequency at a glance.
  • Private: client-side only.

How it works

The tool tokenizes with JavaScript string splits and regex heuristics suitable for English-like plaintext—not linguistic parsing.

What it measures

  • Characters: total length and length without whitespace.
  • Words: whitespace-separated after trimming the whole input.
  • Lines & paragraphs: newline splits; paragraphs split on blank lines.
  • Sentences: split on ., !, and ? (naive).
  • Lists: top tokens and top a–z / 0–9 symbols.

When to use

Blog posts, assignments, newsletters, captions, and lightweight SEO or editing passes.

Ideal use cases

  • Word limits: essays and forms with caps.
  • Editing: repeated words jump out in the grid.
  • Planning: compare drafts by length and time.
  • Teaching: demonstrate naive tokenization.
  • Quick QA: before pasting into CMS or email.

Facts

Interpretation notes.

Key points

  • Reading time is rounded up to whole minutes at 200 WPM.
  • “Sentences” counts segments after splitting on . ! ?—quotes and abbreviations can skew counts.
  • Languages with non-Latin scripts won’t tokenize the same as English for the word list.
  • Most-common words use /\w/ style ASCII word characters in the scanner’s regex.
  • Rich text from Word or HTML should be pasted as plain text for meaningful counts.

Best practices

Use the numbers responsibly.

Quality considerations

  • For academic or legal limits, confirm with your style guide’s counting rules.
  • Pair with a dedicated readability tool if you need graded scores.
  • For code, use a code-aware counter—comments and strings differ from prose.
  • Sanity-check very short inputs where heuristics swing wildly.
  • Keep a backup of originals before heavy editing for length.

When not to rely on it

  • When you need locale-aware word boundaries or syllable counts.
  • When exact sentence or paragraph segmentation must match a publisher CMS.
  • As a substitute for plagiarism, SEO, or legal auditing tools.

Limitations and compatibility

Heuristic counts only; plain text in the textarea; copy report is plaintext. Requires JavaScript.

Text analysis runs fully in your browser with no server upload; metrics and frequency tables refresh instantly as you edit.

Frequently asked questions

Is the text analyzer free?

Yes. Everything runs in your browser. No registration or upload.

What statistics are shown?

Characters (total and without spaces), words, lines, paragraphs, a sentence count from simple punctuation splits, estimated reading time, up to 10 frequent words, and up to 10 frequent letters/digits.

How is reading time calculated?

We divide the word count by 200 words per minute, round up to the next whole minute, and show that estimate. Actual reading speed varies.

Why do some words not appear in “most common”?

Only tokens longer than three characters are ranked, after lowercasing and stripping non-word punctuation for that list.

Is my text secure?

Yes. Your text never leaves your device.

Can I analyze long documents?

Yes. Very large pastes may hit memory limits in the browser, but typical articles and reports work fine.

Text Analyzer - Word Count, Reading Time, and Frequency Stats