Elysia Tools

Browse tools, examples, visual explainers, and topic guides from one clear workspace.

Top Categories

Hubs

Language
ZHESPTRUFRDEEN

Elysia Tools

Navigation

Text Processing

Enhanced Text Statistics Dashboard

· Last updated：2026-07-30

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.

Execution

Run this tool

Fill in the form, run the tool, and review the result in one place.

Samples

Examples that match this tool

Related

Continue with connected tools and hubs

Written by the Elysia Tools team

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category
Text Processing
Input types
textarea
Output type
html
Sample coverage
4
API ready
Yes

Overview

Enhanced Text Statistics Dashboard analyzes pasted English text with word, character, and sentence counts, lexical diversity, lexical density, estimated syllables, reading and speaking times, and separate top content-word and function-word lists.

When to use

  • Check the length and structure of an article, essay, paragraph, or script.
  • Compare vocabulary variety and content density while editing English text.
  • Estimate silent reading time and speaking or audiobook duration.

How it works

  1. 1Paste an article, essay, paragraph, or other English text into the analysis field.
  2. 2The dashboard counts words, characters, and sentences and estimates the number of syllables.
  3. 3It calculates type-token ratio as unique words divided by total words, along with lexical density based on content words after English stopwords are removed.
  4. 4It estimates silent reading time at 238 words per minute and speaking time at 150 words per minute, then lists top content and function words separately.

Use cases

  • Writers can review word count, sentence count, vocabulary diversity, and lexical density during editing.
  • Teachers and students can examine essays for vocabulary variety, estimated syllables, and reading time.
  • Script and audiobook creators can compare silent reading duration with an estimated speaking duration.

Examples

1. Analyze a short essay paragraph

Student writer

Background

A student wants a compact overview of a paragraph before revising an essay.

Problem

Basic word count alone does not show vocabulary variety, lexical density, or how long the paragraph may take to read aloud.

How to use

Paste the paragraph into the Text to analyze field and review the counts, diversity metrics, time estimates, and top-word lists.

Outcome

The dashboard provides a unified statistical profile for the paragraph, including type-token ratio, lexical density, estimated syllables, reading time, and speaking time.

2. Measure vocabulary diversity in a pangram-style text

Language editor

Background

An editor is reviewing a short text that uses many unusual words with few repetitions.

Problem

The editor needs to confirm whether the text has high lexical variety and a strong concentration of content words.

How to use

Paste the pangram-style text into the analysis field and compare its unique-word ratio, lexical density, and content-word list.

Outcome

FAQ

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.

Home
Tools3201
Samples593
Visualizations465
Viewers103
Hubs233
Tags333
Images, Audio & Video657

Image, audio, and video processing, conversion, and optimization tools

Math, Date & Finance644

Calculators, numerics, date logic, statistics, and finance tools

Design & Color297

Color, layout, graphics, visual styling, and design helper tools

Text & Writing209

Writing, cleanup, formatting, extraction, and text analysis tools

Developer & Web193

Developer utilities, networking, web debugging, and automation helpers

Conversion & Encoding175

Format, file, archive, unit, and encoding conversion tools

FLAC/WAV Source Screening and Evidence Handoff
Self-Hosted Giveaway Widget Review and Embed Handoff
Stripe Promo Code Batch Review and Import Preflight
Batch Photo Culling Review and Editing Shortlist Handoff
UI Screenshot Structure Review and Development Handoff

© 2026 Elysia Tools. All rights reserved.

DocsPricingAboutTerms of ServicePrivacy PolicyCookiesContact
Text Processing

Text with Emoji Samples

Mixed language text containing various Unicode emojis for testing emoji extraction

Text Processing

Text with Date Samples

Text containing various date formats for testing date extraction and parsing

Text Processing

Chinese-English Mixed Text Samples

Sample text files with mixed Chinese and English content for testing automatic spacing tools

text-processing

Text Case Format Samples

Examples of different text case formats: camelCase, snake_case, kebab-case, PascalCase, and more

Text Processing

Date Extractor (日期提取器)

Extract dates from text in multiple formats including Chinese, ISO, and US formats with detailed analysis and summary

Text Processing

Flesch Reading Ease Score Calculator - 弗莱士易读性评分器

Calculate Flesch Reading Ease Score and provide detailed text readability analysis with grade level estimation

Security

Image Steganography Embed & Detect

Hide text in a PNG's least-significant bits, extract it back, and run the Westfeld–Pfitzmann chi-square steganalysis with a falling-p curve and LSB plane preview.

Developer Tools

PDF Strikethrough Review Extractor

Detect strikethrough-marked text in review PDFs and generate a report for contract, policy, and revision analysis

The dashboard highlights the text's vocabulary diversity and content-word concentration alongside its basic counts and time estimates.