Keyword Density Checker โ SEO Content Analyzer
Enter any valid website URL (http:// or https://)
Paste your blog post, article, or any text content for analysis
Frequently Asked Questions
Learn how to use the Keyword Density Checker effectively to improve your contentโs SEO performance.
When analyzing a URL, the tool fetches the webpage and removes non-content elements such as:
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<script> -
<style> -
<meta> -
<link> -
<nav> -
<header> -
<footer>
It then extracts readable text from content-related tags like paragraphs, headings, sections, and articles.
If no structured content is found, it falls back to extracting all visible text from the page.
If the website returns errors like:
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404 (Not Found)
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403 (Access Forbidden)
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Timeout
The tool detects the error and displays a clear message explaining what went wrong.
The tool enforces a minimum length of 50 characters in text mode to ensure meaningful keyword density analysis. Very short text cannot produce accurate frequency statistics.
The tool removes common English stopwords such as:
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“the”
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“is”
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“and”
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“of”
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“to”
It uses NLTK’s English stopword list. If that is unavailable, it automatically switches to a built-in fallback stopword list.
The tool excludes:
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Words shorter than 3 characters
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Numbers
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Stopwords
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Non-alphabetic tokens
Only meaningful alphabetic words longer than two characters are analyzed.
The tool creates phrases from filtered words:
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2-word combinations (bigrams)
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3-word combinations (trigrams)
These phrases are generated sequentially from the cleaned word list and then analyzed for frequency and density.
Relevant words refer to:
Words that remain after:
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Removing stopwords
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Filtering short words
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Removing numeric and invalid tokens
These are the words actually used in density calculations.
The Density Score is calculated based on:
The percentage of keywords that fall within the “Ideal” density range (1%–3%).
The higher the number of optimally balanced keywords, the higher the score.
If NLTK tokenization fails for any reason, the tool automatically switches to a simpler fallback word counting method using regular expressions. This ensures the analysis still completes.
No. The tool processes the content during the request and returns analysis results. There is no logic in the code that stores user-submitted text or URLs permanently.