Keyword Density Checker

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

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

Free to use — premium coming soon

FREE
  • Top keywords & density
  • Stop-word filter
  • 100% private
PREMIUM
  • Remove ads
  • 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paste is analyzed locally on your device and is never uploaded to a server, stored, or logged, so you can safely check unpublished drafts, client work, or confidential material.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

Binary, Octal, Decimal, Hex: How Number Bases Actually Work

By the Super Simple Digital Tools Team · Updated June 2026

Every number you have ever written is a positional number, meaning each digit's worth depends on where it sits. In decimal, the rightmost column counts ones, the next counts tens, then hundreds, each column being ten times the one to its right. Change that multiplier and you change the base. Binary multiplies by two per column, octal by eight, and hexadecimal by sixteen. Nothing magical separates these systems; they are simply four ways of grouping the same underlying quantity, and a base converter just rewrites that quantity in a different grouping.

Reading any base into a value follows one rule: multiply each digit by the base raised to its column position and add the results. Hex 2F means 2x16 plus 15x1, which is 47 in decimal (remember F stands for 15). The same rule decodes binary 101101 as 32 plus 8 plus 4 plus 1, or 45. Once you internalize this expansion, no base feels foreign, because the procedure is identical, only the base number you raise to a power changes.

Going the other direction, from a decimal value into another base, uses repeated division. Divide by the target base, keep the remainder, then divide the quotient again, and continue until the quotient hits zero. The remainders, read from last to first, spell out the answer. Converting 156 to hex, for instance, gives 156 divided by 16 as 9 remainder 12, and 12 is C, so the answer is 9C. It is the same loop whether your target is binary, octal, or hex.

The real shortcut lives between binary, octal, and hex, because their bases are all powers of two. One octal digit is exactly three bits and one hex digit is exactly four bits, so you can convert by regrouping rather than calculating. Take binary 11011010, slice it into nibbles 1101 and 1010, and you get D and A, so DA. This is precisely why programmers lean on hex: it is binary wearing a shorter, more readable costume, with each byte always landing as a tidy pair of hex digits.

Those relationships explain where each base earns its keep. Binary is the machine's native language of on and off. Hex shrinks long bit patterns into something a human can scan, which is why color codes, memory addresses, and hashes use it. Octal survives mainly in Unix permissions, where three-bit groups fall naturally into single digits. Decimal stays the language of people. A base converter is the bridge that lets you move a single value across all four worlds without losing a thing.

  • When converting binary to hex, group the bits into fours from the right and pad the leftmost group with leading zeros if it comes up short.
  • Sanity-check a hex-to-decimal result by remembering that two hex digits never exceed 255, the maximum value of one byte.
  • For octal file permissions, translate each digit to three bits: 7 is 111 (rwx), 5 is 101 (r-x), 0 is 000 (---).
  • If a field rejects your input, check the digit set: binary allows only 0 and 1, octal stops at 7, and hex tops out at F.

Read the full guide →

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

Related tools