Unstructured Text
Keyword Density
Find the words you use most and see what share of your text each one makes up.
When to use it
Typical uses: Reviewing blog posts before publishing; Checking that a page focuses on its main topic; Spotting accidental keyword stuffing.
In a pipeline
Text InputKeyword DensityExport CSV
Settings
| Setting | Type | Required | Default or hint |
|---|---|---|---|
| Text column | select | — | Text |
| Ignore common words (the, and, of…) | checkbox | — | true |
| Number of keywords | number | — | 20 |
Example
Keyword Density: an example
- Number of keywords=5
| Text |
|---|
| Green tea is popular. Green tea contains antioxidants, and many people drink green tea every morning for energy. |
| Rank | Keyword | Count | Density % |
|---|---|---|---|
| 1 | green | 3 | 16.67 |
| 2 | tea | 3 | 16.67 |
| 3 | antioxidants | 1 | 5.56 |
| 4 | contains | 1 | 5.56 |
| 5 | drink | 1 | 5.56 |
Worth knowing
- What is a good keyword density? There is no ideal number. Most writers find that a main term naturally appears at around 1–2% of the words. Much higher values usually read as repetitive.
- Does it analyse phrases? It analyses single words. To check how often a phrase appears, use your browser’s find feature or Find and Replace.
- Can I check a live web page? Copy the page text into the tool. If you have the HTML, run it through Remove HTML Tags first.
- The result is a table, one row per word, keeping the row's other columns (such as the file it came from).