Keyword Density Checker
Analyze keyword density & prominence in any text or URL. 1-, 2-, 3- & 4-word phrases, multi-language stop words, word cloud, target-keyword tracking, readability metrics, CSV export & in-text highlighting — all client-side.
How to Use the Keyword Density Checker
- Pick a source — paste text, fetch URL, or upload a file (.txt, .md, .html, .csv).
- Configure options — stop-word filtering (8 languages), case sensitivity, min word length, min occurrence count.
- Add target keywords (optional, comma-separated) to get a focused report on each one.
- Click Analyze. Browse 1-, 2-, 3- & 4-word phrase tabs, plus a visual word cloud.
- Filter results, sort by count or density, export CSV for spreadsheet review.
What is Keyword Density?
Keyword density is the percentage of times a keyword appears in a text relative to the total word count. Formula: (keyword count / total words) × 100. It was the dominant SEO ranking signal of the early-2000s — and remains a useful sanity check for content quality and topical focus, though modern Google relies far more on semantic relevance, entities and user signals.
This tool goes beyond raw density: it computes prominence (position-weighted importance), phrase analysis (n-grams from 1 to 4 words), and benchmarks against ideal ranges. For most pages a healthy 1-word density is 1–3% for your primary keyword. Above 4% and Google may flag keyword stuffing.
Multi-word phrases (2–4 words) are usually more important than single words — they map directly to long-tail search intent. Aim for natural occurrence rather than forced repetition.
Common Use Cases
Why Choose Our Keyword Density Checker?
Frequently Asked Questions
What's the ideal keyword density?
For your primary keyword: aim for 1–3%. Below 0.5% may be under-targeting; above 4% risks looking like keyword stuffing. Secondary keywords: 0.5–2%. Long-tail phrases: 0.1–1% is normal. These are guidelines, not rules — write naturally first, optimize second.
Does Google still care about keyword density?
Not directly as a ranking signal — Google's algorithm has moved to semantic relevance via entities, BERT, neural-matching and topical authority. But density still matters indirectly: too few mentions and Google can't tell what the page is about; too many and you trigger spam signals. Keep it natural.
What's keyword prominence?
Prominence weighs where a keyword appears, not just how often. Keywords in the title, H1, first paragraph, and headings carry more weight than the same word in a footer. This tool calculates position-weighted scores so frontloaded keywords rank higher.
Why analyze 2-, 3- & 4-word phrases?
Most real search queries are multi-word (3.4 words avg per Statista). Long-tail phrases like "best wireless noise cancelling headphones" carry far more buyer intent than just "headphones". Phrase analysis helps you target conversion-ready queries instead of competitive single-word terms.
What are stop words?
Stop words are extremely common words (the, and, of, a, in…) that carry little semantic value. Filtering them surfaces the meaningful keywords. This tool ships stop-word lists for 8 languages. Disable filtering only if you're doing linguistic analysis where stop words matter.
What's a good Flesch Reading Ease score?
Higher = easier. 60–70 = standard / 8th grade reading level (most blog posts). 70–80 = fairly easy. 30–50 = academic / difficult. Aim for 60+ on consumer-facing content; technical & legal content naturally scores lower.
Can it analyze HTML pages?
Yes — upload an .html file or fetch a URL. The tool extracts visible text and discards markup, scripts & styles before analyzing.
Is my text uploaded anywhere?
No — all analysis runs locally in your browser. The only optional network call is the "Fetch URL" feature, which uses a public CORS proxy.
How big a text can it handle?
Up to ~5 MB or roughly 1 million words. Beyond that browsers begin to slow. For book-length content, split into chapters and run separately.