Keyword Density Checker

Enter any page URL below to analyze its keyword density. The tool fetches the page, extracts the readable content, and shows you how often each word and phrase appears — with density percentages and color-coded results for instant interpretation.

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How to Use the Keyword Density Checker

1

Enter the page URL

Paste or type the full address of the page you want to analyze into the URL field (for example, `https://example.com/blog/post`).

2

Click Check

The tool fetches the page server-side, extracts the readable text, and runs the keyword analysis automatically.

3

Set a target keyword (optional)

Type a specific keyword or phrase into the Target Keyword field. The tool will display its count, density, and a health badge above the results table.

4

Adjust filters if needed

Use the Stop Words toggle and Min. Length selector to control which tokens are included. Both update the results instantly without re-fetching the page.

5

Search your results

Use the search bar above the tabs to filter the keyword list by any term. Results update as you type.

Understanding Your Results

Stats cards

After every analysis, four metric cards appear above the results:

  • Total Words: the raw word count extracted from the page before any filtering
  • Unique Words: the number of distinct tokens after applying your current filter settings
  • Sentences: approximate sentence count based on sentence-ending punctuation
  • Characters: total character count of the extracted text

Target keyword result

If you entered a target keyword, this result appears immediately below the stats cards. It shows the keyword as a highlighted pill, how many times it appeared, its density percentage, and a health badge:

  • Healthy (green) — density is 2% or below, a generally appropriate range
  • High (orange) — density is between 2% and 3%; consider reducing usage slightly
  • Over-optimized (red) — density exceeds 3%; the keyword may appear unnaturally often

Density color coding

Every row in the keyword tables uses the same color system. Green badges indicate healthy density, orange flags terms getting high, and red signals potential over-optimization. This makes it easy to scan the full table and spot problems without reading each number.

N-gram tabs (1 Word / 2 Words / 3 Words)

Each tab shows a count badge with the total number of unique keywords or phrases found:

  • 1 Word — individual keyword frequency; useful for spotting repeated single terms
  • 2 Words — two-word phrase frequency; useful for identifying repeated phrases
  • 3 Words — three-word phrase frequency; useful for long-tail keyword verification and catching unintentional phrase repetition

Each tab shows a ranked table with the keyword or phrase, its count, its density percentage, and a visual frequency bar.

Visual density bar

The bar next to each keyword is proportional — the widest bar belongs to the most frequent term. It makes relative frequency scannable at a glance without comparing numbers row by row.

Live search

The search bar above the tabs filters keyword results in real time. Type any term to narrow the list across all three tabs simultaneously. A match count appears below the search field. Clearing the search restores the full list.

Show All toggle

Each tab shows the top 20 results by default. If more keywords exist, a Show All button appears at the bottom of the table. Clicking it reveals every keyword. Clicking Show Less collapses the list back to 20. The Show All button is hidden while a search is active.


What Is Keyword Density?

Keyword density is the percentage of times a specific word or phrase appears relative to the total number of words in a piece of content. It is calculated as:

Keyword density = (keyword count ÷ total words) × 100

For example, if a 500-word article contains the word “design” 10 times, its keyword density is 2%.

What is the ideal keyword density?

Most SEO practitioners consider 1% to 2% a reasonable target for a primary keyword. At this range the keyword appears naturally and consistently without dominating the text. There is no universally agreed threshold — the right density depends on the topic, content length, and how naturally the keyword fits the writing.

Why does over-optimization matter?

Densities above 3% often result in text that reads awkwardly. Search engines evaluate content quality partly through signals of natural language use. Forcing a keyword into every other sentence can reduce readability and, in some cases, trigger algorithmic filters associated with keyword stuffing. Write for the reader first and let keyword frequency follow from that.


Use Cases

Auditing a live page before a content update
Enter a page URL to see the current keyword distribution before making edits. Identify which terms are over-represented or missing before rewriting any content.

Checking a published page for over-optimization
If a page is underperforming in search, keyword stuffing may be a contributing factor. Run the URL through the tool to see whether any term is appearing at an unusually high rate.

Verifying a target keyword is present at the right frequency
Enter the page URL, type your target keyword into the Target Keyword field, and confirm it appears at a healthy density. If the result shows zero occurrences, the keyword may be absent from the page or filtered by the current settings.

Analyzing competitor pages
Enter a competitor’s page URL to see which keywords and phrases they use most frequently. The 2-word and 3-word tabs reveal topic patterns and phrase structures that single-word analysis alone would not surface.

Checking phrase-level density on long-form content
Switch to the 2 Words or 3 Words tab to verify that a specific two- or three-word phrase appears at the right frequency across a long article or guide.

SEO auditors reviewing client pages
During an audit, quickly identify keyword distribution problems on key landing pages without manually counting terms. The color-coded results make issues immediately visible.


Helpful Tips

Use the 2-word and 3-word tabs to check for phrase stuffing.
Single-word density can look fine while a specific two-word phrase appears at a very high rate. Check all three tabs and look for any phrase carrying an orange or red badge.

Try adjusting the minimum word length.
The default setting of 3 characters removes short tokens like “it” and “or.” Lowering it to 2 will include more terms. Raising it to 4 or 5 focuses results on substantive, longer keywords.

Toggle stop words off to see the full picture.
Running the analysis with stop words included shows how much of the page is function words versus meaningful content. A very high function-word share can indicate thin content.

Use the search bar to check specific terms quickly.
If you want to check whether a specific word or phrase appears in the results without scrolling the full table, type it into the search bar. Results filter immediately across all tabs.

The tool extracts text from the live page.
The keyword analysis reflects what is currently published at that URL. If you recently updated the page, make sure those changes are live before running the check.

A density of 0% for your target keyword may be a filter issue.
If the target keyword result shows “not found,” check whether the keyword consists of short tokens removed by the minimum word length filter or common words removed by the stop words filter. Adjust the filters and the results update instantly.

FAQ

What is a keyword density checker?

A keyword density checker is a tool that analyzes the text of a page and shows how often each word or phrase appears, expressed as a percentage of the total word count. It helps writers and SEOs verify that content uses target keywords at a natural, balanced frequency.

What is a healthy keyword density?

Most SEO guidance treats 1% to 2% as a reasonable range for a primary keyword. The color coding in this tool provides a practical reference: green for up to 2%, orange for 2–3%, and red for above 3%.

What does "over-optimized" mean?

Over-optimization means a keyword appears so frequently that the content reads unnaturally. Search engines may interpret this as keyword stuffing, which can negatively affect rankings. A red badge in the results table indicates a term that may benefit from being used less often.

Does this tool send data to a server?

Yes. When you enter a URL and click Check, the tool sends the URL to the server, which fetches the page and extracts its text. The URL is processed in real time and is not stored. No account or login is required.

What are stop words?

Stop words are common function words like "the," "and," "a," "in," and "of" that appear frequently in all English text but carry little topical meaning. Filtering them out focuses results on the meaningful keywords in the content. The toggle can be switched on or off at any time.

What is the minimum word length filter?

This filter removes tokens shorter than the selected number of characters. With the default setting of 3, words like "it" and "or" are excluded even if stop word filtering is disabled. Adjusting this filter updates results instantly.

What is the difference between the 1-word, 2-word, and 3-word tabs?

The 1-word tab shows individual word frequencies. The 2-word tab shows how often every consecutive two-word pair appears. The 3-word tab does the same for three-word sequences. Multi-word tabs are useful for checking phrase-level density and verifying that long-tail keywords appear at the right frequency.

Why is my target keyword showing as "not found"?

The keyword may have been filtered out by the current stop words or minimum word length settings, or it may genuinely not appear on the page. Adjust the filters or check the 1-word tab manually. Filters update results instantly without re-fetching the page.

What if the tool cannot fetch the page?

Some pages block automated requests or require JavaScript to load content. If the tool cannot retrieve readable text, it will display an error message. Try a different URL or a cached version of the page.

Does the tool work for languages other than English?

The tokenizer and stop words list are optimized for English. The tool will return frequency counts for text in other languages, but the stop words filter only removes English function words and results may be less meaningful for non-English content.

Can I analyze a page that requires a login?

No. The tool fetches publicly accessible URLs only. Pages behind authentication, paywalls, or session-based access cannot be retrieved.