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Keyword Analyzer

Analyze word frequency, keyword density, and top phrases in your text

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Understand What Your Text Is Really About

Every piece of writing has a keyword fingerprint — the words and phrases that appear most often reveal its true focus. This tool counts every word, filters out noise like"the" and"is," and ranks your keywords by frequency and density. It also extracts 2-word and 3-word phrases (n-grams) to show which multi-word concepts dominate your content.

Single Words vs. Phrases

Single-word frequency tells you which individual terms you use most. But meaning often lives in phrases —"content marketing" means something different from"content" and"marketing" separately. The bigram and trigram analysis captures these multi-word concepts so you can see whether your key phrases appear enough to establish topical relevance.

Reading the Density Column

Density shows each keyword as a percentage of total words. For SEO, primary keywords between 1 and 2 percent signal relevance without over-optimization. If any keyword exceeds 3 percent, you may be repeating it unnaturally. The density column makes it easy to spot both underuse and overuse at a glance.

Beyond SEO

Keyword analysis is not only for search optimization. Writers use it to check whether an essay stays on topic, editors use it to spot overused words that make prose feel repetitive, and researchers use it to compare the vocabulary of different documents. Any time you need to understand what a text emphasizes, frequency analysis gives you the answer in seconds.

Privacy

All processing runs in your browser. No text is transmitted or stored.

$ faq

What is keyword density? ▸
Keyword density is how often a word or phrase appears as a percentage of the total word count. If"marketing" appears 5 times in a 500-word article, its density is 1 percent. SEO guidelines generally suggest keeping primary keyword density between 1 and 3 percent — high enough to signal relevance, low enough to avoid keyword stuffing.
What are n-grams? ▸
N-grams are sequences of consecutive words. A 1-gram is a single word, a 2-gram (bigram) is a two-word phrase like"content marketing," and a 3-gram (trigram) is a three-word phrase like"search engine optimization." Analyzing n-grams reveals which phrases you repeat most, which is useful for SEO analysis and spotting unintentional repetition.
How does this help with SEO? ▸
The tool shows whether your target keywords appear often enough to signal relevance to search engines. It also reveals unintentional keyword stuffing — repeating a word so much that it reads unnaturally. By reviewing 2-gram and 3-gram frequencies, you can check whether your key phrases are well-distributed or clustered in one section.
Does this tool filter out stop words? ▸
Yes. Common stop words like"the,""is,""and,""of," and"in" are excluded from the analysis by default. These words appear in every text and would dominate the frequency list without adding useful information. The n-gram analysis also filters phrases that are entirely stop words.
What is a good keyword density for SEO? ▸
There is no magic number, but most SEO practitioners aim for 1 to 2 percent for a primary keyword and under 1 percent for secondary keywords. Density above 3 percent can trigger keyword-stuffing penalties. More important than hitting a target number is writing naturally — if the keyword fits the sentence, keep it; if you are forcing it in, remove it.
Can I analyze content in languages other than English? ▸
The frequency and density calculations work with any language. The stop-word filter is English-only, so non-English texts will show common function words in the results. The n-gram analysis works regardless of language since it simply counts consecutive word sequences.
Is any data sent to a server? ▸
No. All processing happens locally in your browser using JavaScript. Your text is never transmitted or stored.