Lexical Diversity & Unique Word Analyser
Measures vocabulary richness, Type-Token Ratio (TTR), unique vs total words, and highlights repetitive words for authors and essayists.
1. Text Passage & Filters
2. Vocabulary Diversity & Frequency
Top Repeated Words
Ranked by frequencyAbout this tool
How to use it
- Paste your text passage, manuscript draft, essay, or speech into the text area.
- Toggle tokenization filters: ignore common stop words (e.g. 'the', 'and', 'to'), enable case insensitivity, or exclude short words under 3 letters.
- Inspect the Type-Token Ratio (TTR) to assess your passage's lexical richness and vocabulary variety.
- Examine the top repeated words frequency chart to identify crutch words and excessive repetition.
- Click 'Copy Diversity Audit' for editorial notes or 'Export Frequency CSV' to analyze your complete vocabulary distribution in a spreadsheet.
Why it matters
High-quality writing balances rhythm and lexical variety. Authors and content creators often unconsciously fall into repetitive phrasing or lean too heavily on crutch adjectives. Calculating the Type-Token Ratio (TTR) and identifying Hapax Legomena (words used only once) provides objective linguistic data to polish prose.
When to use it
Use when editing fiction chapters, refining academic papers, auditing SEO articles for keyword stuffing, or analyzing speech manuscripts.
Good to know
Stop words (conjunctions, prepositions, articles) comprise 40-50% of typical English sentences. Enabling the stop-word filter isolates content-bearing nouns, verbs, and adjectives for a much truer measure of vocabulary sophistication.
Common questions
What is the Type-Token Ratio (TTR)?
Type-Token Ratio (TTR) is a computational linguistics metric calculated by dividing the number of unique words (Types) by the total number of words (Tokens). A higher ratio indicates richer vocabulary with less repetition.
What are Hapax Legomena?
Hapax Legomena are words that appear only once within a given text passage. A high count of unique single-use words is a primary indicator of lexical diversity and expansive vocabulary.
Why should I filter out stop words?
Stop words like 'the', 'is', 'in', and 'of' appear frequently in every grammatical English sentence. Filtering them prevents functional grammar words from dominating your frequency charts.
Is my text manuscript saved on external servers?
No. All text tokenization, frequency counts, and lexical scoring execute 100% locally in your web browser memory. Zero writing or sensitive manuscript data is ever transmitted online.