Checks its count, density and placement.
Comma separated, for example your brand name.
How to use
Add your text or URL
Paste text into the box, in any language, or enter a page URL and press Analyze URL to pull in its body text. Try sample loads a short example with a target keyword filled in.
Set a target and read the tables
Type your target keyword, or select any term in a table, to check its placement. Use the 1 to 4 word tabs, choose how many rows to show, and add words to ignore, such as your brand.
Edit and check again
Rewrite the sentences where a term carries a high badge, directly in the text box. The tables update as you type. Download CSV saves every table for your notes.
Why Keyword Density Checker
- Counts single words plus two-, three- and four-word phrases, with a CSV export.
- Checks a target keyword in the title, meta description, H1, URL, headings, alt text and opening.
- Handles Hindi, Urdu, Arabic-script and other Unicode text.
- Stop-word filter you can switch off, plus your own list of words to ignore.
How keyword density is calculated, with a worked example
The formula is simple: density = (times the term appears ÷ total words) × 100. The total counts every word, stop words included. Phrases are counted as they appear in running text, and a phrase is only listed when it starts and ends with a real word and appears at least twice.
Take this 20-word text: Cold brew coffee is coffee steeped in cold water. Cold brew coffee tastes smooth. Make cold brew coffee at home. Coffee appears 4 times, so its density is 4 ÷ 20 × 100 = 20%. The phrase cold brew appears 3 times, which is 15%, and so does cold brew coffee. In a real article those numbers would be far too high; in a three-sentence sample they simply show how the tables relate.
| Term | Tab | Count | Density |
|---|---|---|---|
| coffee | 1 word | 4 | 20% |
| cold | 1 word | 4 | 20% |
| brew | 1 word | 3 | 15% |
| cold brew | 2 words | 3 | 15% |
| brew coffee | 2 words | 3 | 15% |
| cold brew coffee | 3 words | 3 | 15% |