What text can I analyze?

Paste an article, essay, paragraph, or other English text into the text field.

What is type-token ratio?

Type-token ratio is the number of unique words divided by the total number of words, indicating lexical diversity.

How is lexical density calculated?

Lexical density is based on content words divided by total words, with English stopwords removed.

How are reading and speaking times estimated?

Reading time uses 238 words per minute, while speaking or audiobook time uses 150 words per minute.

What are content and function words?

Content words carry substantive meaning, while function words primarily provide grammatical structure.

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Enhanced Text Statistics Dashboard

A unified text analytics dashboard: word/char/sentence counts, type–token ratio (lexical diversity), lexical density, syllable estimate, and separate reading (238 wpm) and speaking (150 wpm) time estimates — plus top content vs function words.

Details

What this tool helps you do

One dashboard for the metrics that the existing text-statistics, word-frequency, and readability tools each cover only partially. Beyond basic counts it computes type–token ratio (unique words ÷ total, a lexical-diversity measure), lexical density (content words ÷ total, with English stopwords removed), a syllable estimate, and two distinct time projections — silent reading time at 238 wpm (Brysbaert 2019) and speaking/audiobook time at 150 wpm. It also splits the top-10 words into content (substantive) vs function (grammar) words, which is useful for editing density and readability tuning. Reading-time uses research-based rates rather than the older 200-wpm rule of thumb.

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Enhanced Text Statistics Dashboard

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Key facts

Overview

When to use

How it works

Use cases

Examples

1. Analyze a short essay paragraph

2. Measure vocabulary diversity in a pangram-style text

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