# 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. > Canonical page: https://elysiatools.com/en/tools/enhanced-text-statistics-dashboard - **Category:** Text Processing - **Keywords:** text statistics, word count, reading time, speaking time, type token ratio, lexical density, lexical diversity, syllable count, text analysis ## Overview 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. ## Inputs - **Text to analyze** (textarea): Paste an article, essay, or paragraph… ## 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 - Paste an article, essay, paragraph, or other English text into the analysis field. - The dashboard counts words, characters, and sentences and estimates the number of syllables. - It calculates type-token ratio as unique words divided by total words, along with lexical density based on content words after English stopwords are removed. - It 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. ## Frequently asked questions ### 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. ## Related tools - [Date Extractor (日期提取器)](https://elysiatools.com/en/tools/date-extractor): Extract dates from text in multiple formats including Chinese, ISO, and US formats with detailed analysis and summary - [Flesch Reading Ease Score Calculator - 弗莱士易读性评分器](https://elysiatools.com/en/tools/flesch-readability-score): Calculate Flesch Reading Ease Score and provide detailed text readability analysis with grade level estimation - [Image Steganography Embed & Detect](https://elysiatools.com/en/tools/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. - [PDF Strikethrough Review Extractor](https://elysiatools.com/en/tools/pdf-strikethrough-review-extractor): Detect strikethrough-marked text in review PDFs and generate a report for contract, policy, and revision analysis - [AI Text Summarizer - Smart Content Analysis](https://elysiatools.com/en/tools/text-summarizer): Intelligently extract key points from articles and generate high-quality summaries. Support multiple styles and lengths for academic papers, news, reports, and various text types - [Twitter / X Thread Splitter](https://elysiatools.com/en/tools/twitter-thread-splitter): Paste a long text and split it into a numbered X thread that respects the 280-character limit. Splits on word/sentence/paragraph boundaries, auto-adds 1/N numbering, weighs CJK and full-width characters correctly, counts URLs as 23 characters, and shows a live X-style preview card for each tweet with a character meter. - [Voice / Tone of Voice Auditor](https://elysiatools.com/en/tools/voice-tone-tone-of-voice-auditor): Audit text against a four-axis voice print (Formal/Casual, Confident/Cautious, Optimistic/Concerned, Playful/Serious) with a curated lexicon. Optional brand-reference comparison gives a 0–100 deviation. - [Font File Inspector](https://elysiatools.com/en/tools/font-file-inspector): Inspect TTF/OTF/WOFF/WOFF2 fonts: metadata, glyph counts, metrics, style flags, Unicode coverage heatmap, glyph SVG previews, ligatures, OpenType features and variable-font axes. ## Samples - [Text with Emoji Samples](https://elysiatools.com/en/samples/text-with-emoji-samples): Mixed language text containing various Unicode emojis for testing emoji extraction - [Text with Date Samples](https://elysiatools.com/en/samples/text-with-date-samples): Text containing various date formats for testing date extraction and parsing - [Chinese-English Mixed Text Samples](https://elysiatools.com/en/samples/text-chinese-english-mixed-samples): Sample text files with mixed Chinese and English content for testing automatic spacing tools - [Text Case Format Samples](https://elysiatools.com/en/samples/text-case-formats): Examples of different text case formats: camelCase, snake_case, kebab-case, PascalCase, and more