Keyword Density Checker

Analyse keyword frequency and density in your content, with stop-word filtering. Free, in your browser.

Text or article

Ignore common stop words

Aim for natural usage — there's no magic density number, and keyword stuffing hurts rankings. Computed in your browser.

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✓ Top keywords & density
✓ Stop-word filter
✓ 100% private

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★ 2–3 word phrases & comparisons

About the Keyword Density Checker

The Keyword Density Checker scans a block of text and reports how often each word and phrase appears as a share of the total word count. Paste an article, product description, or draft blog post, and the tool counts every term, then ranks the most frequent one-word, two-word, and three-word combinations alongside their density percentages. The point is not to chase a magic number but to spot patterns: a phrase you are over-relying on, a target term you barely mention, or filler words crowding out the language a reader actually came for. It turns a vague gut feeling about repetition into a concrete, sortable list.

Use it when you want a quick editorial read on a piece before it goes live. Writers reach for it to confirm a primary topic is present without sounding forced, editors use it to catch the same adjective hammered into every paragraph, and anyone reviewing AI-generated copy can use it to flag the looping phrasing those drafts tend to produce. It is most useful as a diagnostic, not a target: if a single term lands far above everything else, that is a prompt to rewrite for variety, not a score to optimize. Pair the percentages with a plain read-through and you will catch problems no number alone reveals.

Under the hood the calculation is simple arithmetic: density equals the number of times a term appears divided by the total words, multiplied by 100. So a keyword used 5 times in a 500-word text sits at 1%. For multi-word phrases the tool counts the phrase as a single unit, which keeps a deliberate phrase like "keyword density checker" from being inflated by counting each word separately. It strips common formatting and is case-insensitive, so "SEO" and "seo" are treated as the same term. Results update from exactly the text you provide, nothing more.

Everything runs in your browser. The text you paste is analyzed locally on your device and is never uploaded to a server, stored, or logged, so you can safely check unpublished drafts, client work, or confidential material. Because the counting is literal, accuracy depends on what you paste: copy in the full body text rather than a snippet, and exclude navigation or boilerplate if you only want the article measured. The percentages are an honest reflection of word frequency, not a ranking prediction, and should be read as one input among several when judging whether copy reads naturally.

Frequently asked questions

What is a good keyword density percentage?

There is no official ideal figure, and Google does not use a target density as a ranking factor. Older advice suggested keeping a main term around 1-2%, but the safer approach is to write naturally and use this tool to catch over-repetition rather than to hit a specific number.

Can high keyword density get my page penalized?

Density itself is not penalized, but the unnatural repetition behind a very high figure can be. Google's spam policies explicitly list keyword stuffing, defined as filling a page with terms to manipulate rankings, and say such pages may rank lower or not appear at all.

How is keyword density calculated?

It is the number of times a term appears divided by the total word count, multiplied by 100. For example, a word used 8 times in a 400-word article has a density of 2%.

Does this tool send my text anywhere?

No. The analysis happens entirely in your browser, and your text is never uploaded, saved, or shared, so it is safe to use for unpublished or confidential content.

Should I optimize my writing to match a target density?

It is better not to. Modern search engines focus on meaning, intent, and overall quality rather than word counts, so use the report to remove awkward repetition and confirm your topic is covered, not to force a phrase to a set percentage.

From our blog

How Open Graph Tags Turn a Plain Link Into a Click-Worthy Preview

By the Super Simple Digital Tools Team · Updated June 2026

Every time someone shares one of your links, a social platform sends a crawler to fetch the page and read a small set of meta tags. Those tags, not your visible page design, decide the headline, description, and image that appear in the preview card. The Open Graph protocol, introduced by Facebook in 2010, gave the web a shared vocabulary for this, and today Facebook, LinkedIn, Pinterest, Slack, Discord, and WhatsApp all read it. A generator helps because the syntax is unforgiving: one misspelled property name or a relative image path quietly produces a blank card.

Start with the four required properties. og:title is the headline the card shows, og:type is usually 'website' for a landing page or 'article' for a blog post, og:url is the canonical address of the page, and og:image is the picture. Add og:description for the one- or two-sentence snippet beneath the title, and og:site_name so the card is attributed to your brand. Because platforms truncate titles differently (Facebook around 100 characters, X around 70, WhatsApp as few as 40), keep titles concise so they survive on every surface.

The image deserves the most care, since it occupies the largest part of the card. Target 1200 by 630 pixels, declare og:image:width and og:image:height with those exact numbers, and add og:image:alt for accessibility. Always use an absolute https URL: the crawler does not know your domain, so a path like /og.png will fail. The 1200x630 size is the de facto standard even though the protocol itself does not mandate a dimension, and it covers X's large-image card despite X's own slightly different 1200x675 recommendation.

X (formerly Twitter) layers its own twitter: namespace on top. Set twitter:card to summary_large_image to get the big-image layout, and add twitter:site with your @handle. You generally do not need to duplicate every field: when a twitter: tag is absent, X reuses your og:title, og:description, and og:image. The pragmatic rule is to implement Open Graph completely, then add just twitter:card and twitter:site, which together cover the vast majority of platforms with minimal extra markup.

Once the tags are generated, paste them into the page's <head> and deploy. Then verify, because tags that look right in code can still fail in the wild. Platforms cache the first card they see, so changes will not appear until you re-scrape the URL in each one's official debugger. Confirm the image loads over https, the URL is canonical, and nothing depends on client-side rendering the crawler will skip. A two-minute validation pass is the difference between a polished preview and a grey box that makes your link look broken.

Always set og:image to a full absolute https URL; relative paths like /image.png produce blank previews because the crawler does not know your domain.
Export your share image at exactly 1200x630 and keep headlines and logos inside a centered safe zone so nothing gets cropped on different platforms.
Add twitter:card set to summary_large_image plus twitter:site, then let X fall back to your og:title, og:description, and og:image for everything else.
After deploying, paste the URL into each platform's official debugger to clear cached previews and confirm the image and text resolve correctly.

Read the full guide →

Tool by the Super Simple Digital Tools Team. Reviewed by our editorial team. Free to use, no signup required.