Keyword Density Checker
Analyse keyword frequency and density in any text. Supports 1-word, 2-word, and 3-word phrase analysis with stop word filtering, frequency bars, and CSV export.
The Keyword Density Checker is a free, browser-based SEO tool that analyses text and shows how often each keyword or phrase appears. It supports 1-word keywords, 2-word phrases, and 3-word phrases, with stop word filtering and frequency bar charts. All processing runs entirely in your browser — no text is ever uploaded.
Features
| Feature | Detail |
|---|---|
| 1-word, 2-word, 3-word analysis | Analyse single keywords and multi-word phrases (bigrams, trigrams) |
| Keyword density | Shows each keyword's count and percentage of total word count |
| Frequency bar chart | Visual bar for at-a-glance comparison of keyword prominence |
| Stop word filter | Removes common English words (the, is, and, etc.) that dilute results |
| Minimum word length | Ignore very short words by setting a character threshold |
| Top N results | Show top 10, 20, 50, or all keywords |
| Strip HTML tags | Paste raw HTML content and let the tool remove tags before analysis |
| Text stats | Total words, unique words, sentences, characters, estimated reading time |
| Copy CSV | Export the current tab's results as comma-separated values |
How to Use
- Paste your article, blog post, or any text into the input area. You can also click
Load fileto upload a.txt,.html, or.mdfile, or drag-and-drop a file onto the text area. - Adjust the options: choose how many results to show, set a minimum word length, and toggle stop word filtering and HTML stripping.
- Click
Analyse. - Switch between the
1-word,2-word phrases, and3-word phrasestabs to explore results. - Click
Copy CSVto copy the current tab's data for use in a spreadsheet.
Understanding Keyword Density
Keyword density is the percentage of times a keyword appears relative to the total word count of a page. It is calculated as:
Density = (keyword count / total word count) × 100
For example, if the word marketing appears 8 times in a 400-word article, its density is 2%.
Recommended Density Ranges
There is no universally agreed-upon ideal keyword density. Overusing a keyword can be seen as keyword stuffing by search engines, while too low a density may mean the topic is not well-covered. A common guideline is:
- 1-word primary keyword: 1–3%
- Supporting keywords and synonyms: 0.5–1.5%
- 2-word and 3-word phrases: appear naturally without forcing repetition
Modern search engines use semantic analysis and topical relevance rather than density thresholds alone, so focus on providing comprehensive, readable content over hitting a specific density number.
Stop Words
Stop words are common words that carry little semantic meaning by themselves — articles, prepositions, conjunctions, and pronouns such as the, a, in, and, is, of, and that. Filtering them out reveals the keywords that actually describe your content's topic.
When stop word filtering is enabled for 2-word and 3-word phrases, any phrase containing a stop word component is excluded. Disable the filter if you specifically want to see phrases like in the world or of the year.
2-Word and 3-Word Phrases
Multi-word phrases (also called bigrams and trigrams) are valuable for:
- Identifying long-tail keywords your content targets naturally
- Spotting topic clusters — groups of related phrases that indicate topical authority
- Finding over-used combinations that may look unnatural to readers or search engines
- Generating ideas for internal linking anchor text
Frequently Asked Questions
Does keyword density directly affect search rankings?
Not directly. Google and other search engines no longer rely on density as a ranking signal. However, the presence of relevant keywords and phrases in natural proportions helps search engines understand the topic of the page.
Should I aim for a specific keyword density?
Aim for natural, readable writing. Use your primary keyword in the title, first paragraph, and a few times throughout the body. Synonyms and related terms are just as important as exact-match repetition.
What is the difference between 1-word and 2-word keyword analysis?
A 1-word analysis shows individual term frequency. A 2-word (bigram) analysis shows pairs of consecutive words, which is useful for identifying natural keyphrases that users might search for. 3-word (trigram) analysis extends this to three-word sequences, which often reveal long-tail search intents.
Why are some words missing from the results?
Words shorter than the "Min word length" setting are excluded. If stop word filtering is on, common English words are also removed. Adjust these settings to see more results.
Can I analyse non-English text?
Yes, but the stop word list covers English only. For other languages, disable the stop word filter to get accurate frequency counts without filtering out valid keywords.
What does the reading time estimate mean?
Reading time is estimated at an average adult reading speed of 200 words per minute. It gives a rough indication of content length relative to typical reading attention spans.