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HomeToolsSEO & WebKeyword Density Checker

Part of SEO Metadata

SEO & WebSEO

Keyword Density Checker

Paste text or page content to analyze keyword frequency and density. Filter by phrase length, stop words, minimum occurrences, and word length to optimize content for SEO.

TA
Tanbir Ahamed·Founder of ToolWise · Software Engineer
Published July 2026

Interactive Tool Workspace

0 words0 characters0 unique phrases matched

Density results

Nothing matched yet — adjust the filters above or paste content to begin.

How to Use

  1. 1Paste your article, blog post, or page content into the text box.
  2. 2Choose whether to analyze 1, 2, or 3-word phrases.
  3. 3Toggle"Remove stop words" to exclude common filler words like the, and, of.
  4. 4Set the minimum word length and minimum occurrences to filter noise.
  5. 5Review the density table and export the results as CSV if needed.

Features

  • ✓Real-time single, 2-word, and 3-word phrase analysis
  • ✓Optional stop-word removal with a built-in 80+ word list
  • ✓Configurable minimum word length and occurrence threshold
  • ✓Live density percentage relative to filtered word count
  • ✓Top-100 ranked results with one-click copy
  • ✓CSV export for spreadsheets and reporting tools
  • ✓Strips HTML tags automatically so pasted markup is safe
  • ✓100% client-side — your content never leaves the browser
Comprehensive Guide & Reference

Keyword Density Checker: Reading the Numbers Without Overreading Them

What keyword density actually measures, where the metric still matters, and why chasing a target percentage is a 2005 SEO mistake.

1. What Keyword Density Actually Counts

Keyword density is the share of total words on a page that match a target keyword or phrase, expressed as a percentage. A page with 500 words containing the keyword 15 times reports a 3 percent density. Single-word and multi-word phrases both work; for a three-word phrase the denominator is the number of three-word moving windows as well as the absolute word count.

Old SEO manuals recommended a target density window of 2 to 5 percent. That window predates modern search engine semantic understanding and is no longer a ranking target. Modern keyword audits use density the opposite way: as a smoke detector for over-optimization, not as a goal to hit.

2. Density as Over-Optimization Smoke Detector

A density higher than 4 percent on a non-branded target phrase almost always reads as stuffed to a reader and to a search engine. Two to three percent usually means the keyword showed up naturally across headings and paragraphs. Below one percent on a page that should rank for the keyword often means the topic was skirted without being addressed, which is its own small issue.

Read the density to catch outliers, not to chase a number. A 5 percent spike in a subheading-stuffed section tells you where editorial attention is needed; a 0.5 percent result on the prompt's core keyword tells you the page might not be answering the prompt at all.

3. Phrase Match versus Word Match

Counting single words and counting phrase matches produce very different numbers. A page might use the word shoes 30 times but only once write trail running shoes verbatim. The single-word density is high, the phrase density is near zero, and the truth tells you the page is fragmented without the topic carrying through.

Pull both numbers from the same scan. A checker that only reports single-word frequency misses the multi-word phrases that real queries consist of, and that is exactly what an honest density tool should never do.

4. Where Density Still Quietly Earns Its Place

Density auditing is still useful for niche pages where topical breadth matters less than topical depth. A guide page about a single product, for example, tends to over-target the same phrase across every subheading; a quick density report catches the repetitiveness before a reader does.

Density audits also help during migrations. Comparing the pre-migration density profile of a page against its post-migration form is a fast sanity check that the copy preserved its topical focus through the rewrite.

Check the Outliers, Let the Writing Flow

Keyword density is a smoke detector, not a target. ToolWise Free Keyword Density Checker runs locally in your browser and reports single-word and phrase-level density across the page without uploading your content anywhere. Check the outliers, fix the stuffed sections, and let the writing flow.

Real example

Worked example: counting a 40-word passage

Input
Text: "Coffee is one of the most popular drinks in the world. Coffee beans are roasted and then ground before brewing. Many people drink coffee every single morning for the caffeine. Fresh hot cups boost focus and energy all day long."
Output
→40 words · coffee: 3× = 7.50% · the: 3× = 7.50% · and: 2× = 5.00% · 32 words appear once = 2.50% each

Density is occurrences ÷ total words (3 ÷ 40) — 7.50% for a target keyword would be keyword stuffing in real content, where roughly 1–2% is the usual target.

Worked example: two-word phrase density

Input
Same 40-word passage · Target phrase: "coffee beans"
Output
→1 occurrence of "coffee beans" in 40 words = 2.50% phrase density (a phrase counts as one unit, not two words)

Phrase density divides occurrences by total word count, not by phrase slots — so the same passage scores 2.50% for the phrase but 7.50% for the single word.

Privacy & data handling

This tool runs entirely in your browser. What you enter is processed on your own device using JavaScript and WebAssembly — it is not uploaded to our servers, and there is no account, no signup and no per-use limit. Read our privacy policy.

Frequently Asked Questions

What is keyword density?
Keyword density is the percentage of times a target phrase appears on a page relative to the total number of words. As a rule of thumb, aim for 1–2% for your primary keyword to keep content readable and avoid over-optimization.
What is a good keyword density for SEO?
Most SEOs recommend 0.5–2.5% for primary keywords. Anything above 3% may read as keyword stuffing and trigger spam filters. Use natural synonyms and related entities instead of repeating the exact phrase.
Should I remove stop words?
Removing stop words helps you see meaningful phrases that actually drive topical relevance. Keep stop words on for multi-word phrase analysis (e.g."state of the art") where they matter structurally.
Is this tool free and private?
Yes — the analysis runs entirely in your browser. No text is uploaded to a server, no API key required, and no usage limits apply.

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