Keyword Stuffing Checker
Last updated
Keyword density measures how frequently a term appears relative to total words: Density = (Keyword Count / Total Words) × 100. Search engines like Google set no target density score, penalizing unnatural keyword stuffing instead. This browser tool extracts 1-word, 2-word, and 3-word n-grams client-side with optional stop-word exclusion and zero server tracking.
Check your content to ensure you are not over-using keywords. Maintain a natural 1-3% keyword density for better rankings.
Runs in your browser
Your files and text are processed locally in your browser and are not uploaded.
What is Keyword Density and How is It Calculated?
A keyword density checker calculates how frequently target words and phrases appear in your text as a percentage of total word count. By analyzing 1-word, 2-word, and 3-word phrases and filtering stop words, it helps writers maintain natural search phrasing without overusing the same words.
Definition: Keyword Density
The percentage ratio of a specific keyword or phrase's occurrences to total words in a document: (Keyword Count ÷ Total Words) × 100.
What N-Gram Frequencies and Density Stats Are Generated?
Required Inputs
- Text Input AreaPaste or type article or page copy for real-time phrase analysis.
- Target Keyword (Optional)Specify a focal phrase to calculate its count, density percentage, and warning badge.
- Exclude Stop Words ToggleFilter out grammatical filler words ('the', 'is', 'and') to highlight topical terms.
- Min Word LengthA number from 1 to 10; shorter words are left out of the 1-word table.
- Search Filter InputFilter results instantly by typing any substring or root keyword.
Expected Outputs
- Total WordsLive count of all words in your text, used as the base for every density figure.
- Target Keyword StatusShows the occurrence count and density percentage, with a High or Very high badge when it is above 3% or 5%.
- 1-Word, 2-Word, & 3-Word TablesTabbed breakdowns displaying term frequencies and percentage shares sorted descending.
- CSV & Clipboard ExportButtons to copy the rows shown in the current tab or download them as a CSV file.
Who Uses the Keyword Density Checker?
SEO Copywriters & Content Strategists
Audit draft articles before publication to verify key topical phrases appear naturally without over-optimizing individual keywords.
Competitor Content Benchmarking
Analyze top-ranking competitor articles to discover high-frequency 2-word and 3-word phrases informing their topical depth.
Editorial Proofreading
Identify repetitive terms, verbal crutches, and redundant phrasing to improve writing variety and clarity.
E-Commerce Product Copy
Check that product descriptions mention the product naturally without repeating the same phrase in every sentence.
How Do You Audit Keyword Density in Web Content?
- 1Paste your written copy or draft article into the main text box.
- 2Enter your focal search phrase into the Target Keyword input to track its density and status badge.
- 3Toggle 'Exclude stop words' to filter out grammatical filler and emphasize core topical terms.
- 4Change 'Min length' to leave out short words or abbreviations.
- 5Switch between the 1-Word, 2-Word, and 3-Word tabs to inspect recurring phrases.
- 6Click 'Copy' or 'CSV' to export the current table for a content report.
Optimal Keyword Density Ranges and Search Engine Best Practices
Privacy & Security Guarantee
Your text is parsed and analyzed entirely inside your browser memory. Content is never transmitted over the network or stored on external servers.
Frequently Asked Questions
What exact formula does this keyword density checker use?
The tool calculates density using the standard formula: (Keyword Count ÷ Total Word Count) × 100. If an article has 1,000 words and your keyword appears 15 times, density is 1.5%.
Why do two-word and three-word phrases only show when their count is two or higher?
In normal text, hundreds of phrase pairings occur only once by coincidence. Showing one-off phrases creates clutter. Requiring at least two occurrences ensures only meaningful keyphrases appear.
Why don't multi-word phrases cross the end of a sentence?
Punctuation separates independent thoughts. If text reads '...reliable results. Keyword research proves...', pairing 'results keyword' would be inaccurate. The tool splits text at periods, question marks, exclamation marks, colons, semicolons and line breaks, so phrases only come from within one sentence. Commas don't split phrases.
What do the High (>3%) and Very High (>5%) warning badges mean?
They are informal warnings, not Google rules (Google doesn't publish an ideal density). Above 3% a term is marked High and above 5% Very high: a sign to read that part aloud and vary the wording if it sounds repetitive.
What does the Exclude Stop Words toggle do?
Stop words are grammatical filler words like 'the', 'is', 'and', 'at', and 'with'. Toggling this option filters them out so your 1-word table highlights substantive topical vocabulary.
Can I export or copy the keyword density analysis table?
Yes. 'Copy' puts the rows shown in the current tab on your clipboard (they paste neatly into a spreadsheet), and 'CSV' downloads the same rows as a file.
Is my draft text or client copy uploaded to a server?
No. All tokenization and frequency counting runs locally in your browser's JavaScript engine. You can safely analyze unpublished drafts with complete privacy.