Check Keyword Density in Website URLs and Article Text
A keyword density checker measures repeated wording in the text it receives. It can help an editor notice that a phrase appears in every sentence, or confirm whether a useful subject is actually discussed. It cannot judge whether advice is correct, a page satisfies a visitor, or a search engine will rank the content. Use frequency as an observation, then read the passage in context.
Analyze Keyword Density from a Website URL
Choose Website URL and enter a public HTTP or HTTPS address. The server requests its HTML, removes scripts and several common navigation elements, and favors a main or article element when present. The keyword density checker for URL analysis reports only text available in that response. It does not run the page’s JavaScript, sign into an account, or bypass access controls.
Some websites block automated requests, require scripts, return compressed content despite an identity request, or exceed the two-megabyte limit. Those requests produce an explanation rather than fabricated results. Private addresses, reserved networks, credentials in URLs, unusual ports, and unsafe redirects are rejected. If a public page cannot be retrieved, paste the article text yourself and note that the analyzed scope has changed.
Paste Text to Check Keyword Density Before Publishing
Paste Text is useful for a draft, an exported article, or a single section you want to review. Enter an optional focus keyword to count a specific phrase. Analysis takes place in your browser, with no document upload or saved dataset. The HTML Source mode can also extract text and show separate title and heading counts without requesting a website.
Define the scope before comparing two drafts. A whole page that includes product labels, comments, or related stories will naturally produce different totals from the article alone. To check keyword density in text fairly, keep the same source boundaries between versions. Our guide to fixing keyword stuffing explains how to turn a repetition report into a useful editing pass.
Free Keyword Frequency Analyzer for SEO Content
This keyword frequency analyzer uses normalized Unicode word tokens. Letter and number sequences count as words, with internal apostrophes retained. Case is ignored, while accents remain meaningful. Hyphenated words generally become separate tokens. These conventions are practical counting rules, not a claim about how Google tokenizes every language or interprets a page’s meaning.
Analyze One-Word, Two-Word and Three-Word Keywords
The report creates one-word, two-word, and three-word sequences from adjacent tokens. In good content helps people, the two-word sequences are good content, content helps, and helps people. A three-word phrase occupies three positions in the source, but its occurrence is still counted once. Overlapping sequences are permitted, so repeated words can contribute more than one match.
Use the one-word tab to see broad vocabulary, then inspect longer phrases for repeated constructions. Filtering common English stopwords hides any result phrase containing those words. It does not delete words from the original sequence or join words that were not adjacent. Turn the option off when the phrase you care about includes a word such as for, how, or the.
Find Repeated Keywords and Their Density Percentages
Sort by frequency to surface repeated terms, or alphabetically when checking a particular vocabulary choice. Search the table to narrow the report. The focus phrase is measured independently of the stopword display filter. Highlighting helps locate matching text fragments in the analyzed copy, while the numeric count uses complete normalized token sequences rather than arbitrary substrings.
Export or copy the filtered phrase table as CSV when you need an editing record. A high value can be entirely reasonable in a short technical passage, especially for a product name or defined term. A low value does not establish that a page is informative. This online keyword density tool reports repetition, so read the sentences that produced the number before changing them.
How to Calculate Keyword Density for SEO
A keyword density percentage is useful only when its numerator and denominator are defined. This implementation reports occurrence density: the number of matches for the word or phrase, divided by the total word-token count, multiplied by 100. It deliberately uses the same total-word denominator for one-, two-, and three-word phrases, making comparisons within a document easier to explain.
Keyword Density Formula with Examples
Suppose a 200-word article contains the phrase trail shoes four times. Occurrence density is 4 ÷ 200 × 100, giving 2%. The phrase’s two words occupy eight token positions if those matches do not overlap. That 4% token coverage is a different measurement and is not what this table labels density. Neither figure is a recommended target.
For another example, red red red contains three word tokens. The phrase red red appears twice when overlapping occurrences count, so its occurrence density is 2 ÷ 3 × 100, or approximately 66.67%. Stating the counting method prevents confusion about apparently surprising results in very short text. The same rule applies consistently throughout the keyword frequency checker.
How Word Count and Keyword Frequency Affect Density
If you keep four phrase occurrences but expand a genuinely useful article from 200 to 400 words, the percentage falls from 2% to 1%. That arithmetic does not establish that the longer version is better. Adding unrelated filler merely to dilute a percentage is a poor editing goal. The new material should answer a reader’s question, explain an important condition, or make an instruction clearer.
Likewise, replacing every subject reference with a vague pronoun can lower repetition while making the article harder to follow. Compare the draft’s purpose, examples, and precision alongside the metric. A keyword density analyzer is most effective as one small part of an editorial review, supported by a clear page brief and actual reading rather than a threshold that turns green.
How to Avoid Keyword Stuffing and Improve On-Page SEO
Google’s spam policies identify keyword stuffing as manipulative repetition or keyword lists. The practical editorial concern is whether wording feels forced and stops helping the reader. This SEO keyword density checker does not assign a spam verdict, detect intent to manipulate rankings, or determine whether a page violates a search policy.
How to Identify Unnatural Keyword Repetition
Look for repeated introductions, headings that restate the same phrase without adding meaning, and sentences that insert a location or product term where a natural reference would suffice. Read aloud and ask what each occurrence contributes. Some repetition is necessary: a safety instruction or technical definition should remain precise even when it repeats a key noun.
Rewrite redundant passages around the actual information. For instance, replace a paragraph that says a service is useful three times with a concrete explanation of eligibility, price conditions, or the next step. Keep the name where it clarifies the subject. If several pages repeat the same brief, use the keyword clustering tool and find competing website pages before merely polishing identical text.
Is There an Ideal Keyword Density Percentage for Google?
There is no fixed percentage in Google’s cited guidance that this tool can recommend as an ideal ranking target. The report is a description of your source, not a Google score. Two useful pages can have very different vocabularies, lengths, and repetition patterns. A glossary, comparison, recipe, and troubleshooting guide should not be forced into one numerical template.
Use this keyword stuffing checker as a reason to inspect awkward passages, then judge the revision by clarity and usefulness. The keyword mapping guide can help define the task the content should satisfy. Keep your measurements for comparison, but publish because the text answers that task well, not because its density reaches an arbitrary benchmark.