What is type-token ratio (TTR)?

TTR = unique word types divided by total word tokens. A TTR of 1.0 means every word is used exactly once (maximum variety). A lower TTR indicates repetition. Typical prose sits between 0.40 and 0.70.

Is the comparison case-sensitive?

No. "The", "the", and "THE" are all counted as the same word. All text is lowercased before analysis.

What counts as a word?

Any sequence of letters (a-z) and apostrophes. Numbers, punctuation, and symbols are stripped before counting, so "don't" counts as one word.

Is my text sent to a server?

No. All processing runs entirely in your browser. Nothing is uploaded or stored.

Why does a very short text have a high TTR?

TTR is sensitive to text length — short texts almost always have high TTR because there is little room for repetition. Compare TTR values between texts of similar length for the most meaningful results.

Unique Word Counter

Paste text to instantly see how many unique words it contains, the type-token ratio, and a full frequency-sorted word list.

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Summary

Paste text to instantly see how many unique words it contains, the type-token ratio, and a full frequency-sorted word list.

How it works

The tool tokenizes your text into words (letters and apostrophes only, case-insensitive), counts total tokens and unique types, computes TTR = types / tokens, then ranks every unique word by frequency.

Use cases

Measure vocabulary richness of an essay or article.
Detect repetitive language in marketing copy or reports.
Compare lexical diversity between two texts.
Find the most overused words in a draft so you can vary them.
Analyze vocabulary spread in student writing.

Frequently Asked Questions

Last updated: 2026-09-22 · Reviewed by Nham Vu