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Lexical Density Calculator

Paste your text above to see what percentage of your words carry real meaning versus what percentage are grammatical connectors like “the”, “and”, and “of”. Higher density signals information rich, complex writing. Lower density signals conversational, easy-to-read text. Nothing is uploaded.

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About Lexical Density

What lexical density measures

Every word in a sentence falls into one of two categories. Lexical words carry meaning: nouns, main verbs, adjectives, and most adverbs. In “the scientist carefully examined the ancient fossil”, the lexical words are scientist, examined, ancient, and fossil. These are the words a reader could not remove without losing the actual content of the sentence.

Function words hold the sentence together grammatically but carry little meaning on their own: articles, prepositions, pronouns, conjunctions, and auxiliary verbs. In the same sentence, “the”, “carefully” is debatable depending on classification method, and the second “the” are function words. Removing them leaves the sentence ungrammatical, but a reader can often still guess the gist from the lexical words alone.

Lexical density is the percentage of your total words that fall into the lexical category. The tool filters your text against a large library of English function words, counts what remains, and divides by the total word count.

Typical density ranges

Spoken language and conversational blog posts typically sit between 40% and 50%. Speech tends to use more pronouns, more repetition, and simpler sentence construction, all of which lower the density.

Standard written text, including news articles and professional copy, usually falls between 50% and 60%. This is the range most general-audience web content lands in naturally without any deliberate effort to simplify or complicate the prose.

Academic papers, scientific journals, and technical documentation often score between 60% and 70%. Dense, specialized vocabulary and a preference for precise nouns over pronouns push the ratio higher.

Text scoring above 70% is unusually dense and often difficult for a general audience to process quickly, even if every individual sentence is grammatically correct. If your score comes back that high and the piece is meant for a broad readership, that is a signal worth investigating rather than a badge of sophistication.

A note on the calculation method

There are two established ways to calculate lexical density in linguistics. The method used here, and used by almost every practical online calculator, divides lexical words by total words. The original method proposed by linguist M.A.K. Halliday divides lexical items by the total number of clauses rather than total words. Clause-based density tends to produce different numbers from word-based density for the same text, since the two formulas measure related but distinct things. If you are working within a specific academic framework that requires the clause-based method, verify which formula your citation or study is using rather than assuming.

How to lower a high density score

If your writing is scoring high and you want it more accessible, a few concrete changes help. Replace repeated proper nouns with pronouns after the first mention, since “he” and “it” are function words while repeating a name is not. Break long, clause-heavy sentences into shorter ones, since each additional clause tends to introduce more function words relative to content. Favor active voice over passive voice, since passive constructions often add auxiliary verbs and prepositions that inflate function word count without adding meaning. For a broader check on how accessible the writing is overall, the readability score calculator runs the Flesch-Kincaid grade level alongside sentence length and syllable metrics.

Lexical density vs keyword density

These measure different things despite the similar names. Keyword density tracks how often one specific target word or phrase appears in a text, expressed as a percentage of total words. It is an SEO metric used to check whether a page over-uses or under-uses its target term. Lexical density measures the overall ratio of meaningful words to function words across the entire document, regardless of which specific words they are. A page can have healthy keyword density for its target term while still scoring very high or very low on lexical density depending on the rest of the writing. Checking both together with the keyword density checker gives a fuller picture of a page’s SEO and readability profile.

Who uses this

Linguists and researchers use lexical density to compare complexity across text genres, speakers, or time periods, since the metric gives a quantifiable way to discuss what “dense” or “simple” writing actually means numerically.

ESL and language teachers use it to grade the difficulty of reading material for different proficiency levels, since text with lower density is generally easier for learners to process even before considering vocabulary difficulty.

Copywriters and content editors use it as a gut check during editing, particularly for content meant to feel approachable and conversational, where an unexpectedly high density score can flag passages that read as stiffer or more academic than intended.

Common questions

Lexical words divided by total words, multiplied by 100. The tool filters your text against an extensive library of English function words to isolate the lexical terms before running the calculation.
Write shorter sentences, use pronouns instead of repeating proper nouns, and favor active voice over passive voice. All three reduce the proportion of function words relative to content words, which lowers the density and generally makes text easier to read quickly.
No. Keyword density measures how often one specific targeted phrase appears in a text, an SEO-focused metric. Lexical density measures the overall complexity and information load of the entire document based on the ratio of meaningful to grammatical words. They answer different questions, though checking both together gives a fuller picture of a page’s writing profile.
Word-based. Lexical words are divided by total word count. This matches the method used by nearly every practical online lexical density tool. The original academic method proposed by Halliday divides by total clauses instead, which can produce different numbers for the same text. If your work requires the clause-based method specifically, confirm which formula your source material expects.
Occasionally. Some words function as either a lexical or function word depending on their role in a specific sentence. High-frequency verbs like “have”, “do”, and “get” are treated differently by different classification methods depending on whether they are functioning as a main verb or an auxiliary. No automated tool classifies every borderline case identically to a human linguist, though the overall percentage is generally a reliable approximation for typical text.
Yes. All calculations happen entirely in your browser. No text or data is ever sent to our servers.
No enforced limit. Processing is local so large documents depend on your device. Long-form articles and papers process without issue on a modern browser.
Yes, on current iOS and Android browsers.