Free Keyword Density Checker
Analyze single-word terms, 2-word phrases, and 3-word n-grams. Prevent keyword stuffing and verify natural topic coverage.
Top 1-Word KeywordsCount / Density
Enter text to see keyword density results.
Top 2-Word PhrasesFrequency
Repeated 2-word phrases will populate here.
Worked Example: Analyzing On-Page Keyword & N-Gram Phrase Density
Suppose you have drafted an 800-word technical guide targeting the primary query "local keyword research" and want to verify whether your heading and body copy distribution looks natural before publishing.
Instead of forcing the exact 3-word string 25 times into an 800-word article—which triggers repetitive n-gram dampening in modern retrieval algorithms—the author uses the primary trigram 6 times (in the H1, opening paragraph, one H2 subheading, and three contextual body sentences) while reinforcing the topic with semantic bigrams ("search intent", "service area pages", "Google Business Profile").
How the Keyword Density & N-Gram Analyzer Works (Method & Formulas)
Our Keyword Density Checker runs entirely inside your browser using deterministic JavaScript tokenization. Unlike server-side scrapers that store your unpublished drafts, every calculation happens in local memory in under 15 milliseconds:
1. Text Normalization & Stop-Word Filtering
The parser converts input text to lowercase, strips HTML markup and punctuation symbols, and splits words along Unicode whitespace boundaries. When stop-word filtering is enabled, grammatical function words (such as the, and, for, with, that) are excluded from the unigram table so you see only topical nouns, verbs, and modifiers, while total word count remains anchored to the full document length.
2. Unigram, Bigram & Trigram Frequency Math
For a document containing N total words and a term or phrase appearing C times, the tool computes standard term density as (C / N) × 100%. Sliding windows of length 2 and 3 extract contiguous bigrams (2-word phrases) and trigrams (3-word phrases), allowing you to spot accidental phrase repetition across subheadings and paragraphs.
3. Practical Thresholds vs. Keyword Stuffing
Search engines do not reward hitting a rigid percentage target. However, density auditing remains highly effective as a negative diagnostic check: when any single unigram exceeds 3.5%–4.0% or an exact 3-word phrase appears in every paragraph, readability drops and pages risk demotion under Google's spam policies for keyword stuffing.
4. Tool Scope & Known Limitations
What this tool checks: Exact token frequency, 1/2/3-word phrase ratios, character/word counts, and potential over-repetition in pasted copy.
What it does not check: It does not measure semantic vector embeddings, backlink authority, or live SERP competitor averages. Pair this check with our AI Search Citation Checker to verify entity and factual density for generative search engines.
Frequently Asked Questions
What is ideal keyword density for SEO in 2026?▾
There is no universal "ideal" keyword density percentage. In modern search engine algorithms, topical relevance and entity coverage matter far more than reaching an arbitrary 2% or 3% density metric. Natural writing that answers user search intent typically results in a primary keyword density between 1% and 2.5%, alongside synonyms and related entities.
What is keyword stuffing and why is it dangerous?▾
Keyword stuffing is the practice of unnaturally repeating the same target phrase across a page to manipulate search rankings. Google systems detect repetitive phrase patterns and can devalue or demote pages that degrade user readability.
How does this keyword density checker calculate phrase frequencies?▾
The tool normalizes text, strips special characters, calculates total word count, and builds frequency distributions for 1-word terms, 2-word n-grams, and 3-word phrases. You can optionally filter out common English stop words (the, of, and) to focus on topical semantic terms.
Is my submitted content stored or sent to any third party?▾
No. The analysis executes entirely in your browser using client-side JavaScript. Your pasted text never leaves your device and is not saved on any server.