Keyword Density Checker
Analyse keyword frequency, density and TF scores to optimise your content for SEO — instantly, free, no sign-up.
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What is Keyword Density Checker?
A keyword density checker analyses a block of text and calculates how frequently each word or phrase appears relative to the total word count, expressed as a percentage. It also computes the Term Frequency (TF) score for each keyword, which is a foundational metric from information retrieval used to understand how prominent a term is within a document.
Search engine optimisation (SEO) practitioners use keyword density analysis to ensure that target keywords appear naturally and with sufficient frequency to signal relevance to search engines, without over-optimising to the point where the content reads unnaturally or risks a keyword-stuffing penalty. A density of 1–3% for primary keywords is generally considered a healthy range, though modern SEO also values semantic context and related terms.
This tool strips common stop words (such as "the", "and", "is") so that your results focus on meaningful keywords rather than grammatical filler. You can analyse single words, two-word phrases (bigrams), and three-word phrases (trigrams) to understand not just individual keyword strength but also how natural phrases and long-tail terms are distributed through your content. Results are shown in a sortable table ranked by frequency and TF score.
How to Use Keyword Density Checker
- Paste your content
Enter the text you want to analyse — a blog post, landing page copy, product description, or any written content.
- Choose phrase length and options
Select whether to analyse single words, bigrams, or trigrams, and choose whether to exclude stop words.
- Review the keyword table
See each keyword ranked by count, density percentage, and TF score in a sortable results table.
- Export or copy the results
Copy the table to the clipboard or export it as CSV for use in your SEO reporting workflow.
Key Benefits
See both raw density percentage and the Term Frequency score to understand keyword prominence more precisely.
Automatically removes common function words so results focus on meaningful, SEO-relevant terms.
Detect natural long-tail phrases and multi-word keyword clusters, not just individual words.
Analysis runs in your browser as you type — no account, no upload, no waiting.
Frequently Asked Questions
Most SEO practitioners aim for 1–3% density for primary keywords. Going above 5% risks looking like keyword stuffing to search engines. Modern SEO prioritises natural language and semantic context over exact density targets.
Term Frequency (TF) is the ratio of how many times a term appears in a document to the total number of terms in that document. It is the first component of the TF-IDF weighting scheme used in information retrieval.
Stop words are common function words like "the", "is", "at", "which", and "on" that carry little SEO meaning. Filtering them out lets you focus on the content-bearing terms that search engines use to understand your page.
You can, but for accurate body-copy density analysis it is better to analyse the main content separately. Title and meta keywords have their own weight in search engine algorithms independent of body density.