What density should I aim for?

There is no target. Google publishes no density threshold, and pushing a term to a particular percentage is keyword stuffing, which is explicitly discouraged. The useful purpose of this metric is seeing what the article actually emphasises and whether something is being repeated more than intended — not tuning towards a number.

How accurate is the Chinese segmentation?

It is character-level splitting, not semantic word segmentation. "搜尋引擎最佳化" is split into characters and reassembled into two-to-four character phrases, which surfaces most common terms correctly but does not understand word boundaries the way a dedicated segmenter would. Fine for spotting repetition, not for linguistic analysis.

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Keyword Density Checker

Analyse word and phrase frequency in text, with CJK segmentation handled.

Input

Article text

Phrase length

Minimum occurrences

Result

Total words: 0

No problems found.

About this tool

Paste an article to see the most frequent words and phrases, with the phrase length adjustable from one to four. Chinese and Japanese have no spaces, so splitting on whitespace alone would count a whole sentence as one word; runs of CJK characters are therefore split per character before phrases are assembled, which makes the result meaningful for those languages too. Worth being clear: keyword density is not a ranking factor. It describes what an article talks about, and deliberately inflating it is exactly what search engines say not to do.

How it works

Paste the article text.
Choose a phrase length and a minimum occurrence count.
Read the ranked words and density percentages.

Limits and notes

CJK runs are split per character before phrases are built. Density is descriptive, not a ranking factor.

Privacy

Pasted HTML, URLs, and text are analysed inside this browser only. Nothing is uploaded, stored, or written to the URL or any log.

Frequently asked questions

What density should I aim for?: There is no target. Google publishes no density threshold, and pushing a term to a particular percentage is keyword stuffing, which is explicitly discouraged. The useful purpose of this metric is seeing what the article actually emphasises and whether something is being repeated more than intended — not tuning towards a number.
How accurate is the Chinese segmentation?: It is character-level splitting, not semantic word segmentation. "搜尋引擎最佳化" is split into characters and reassembled into two-to-four character phrases, which surfaces most common terms correctly but does not understand word boundaries the way a dedicated segmenter would. Fine for spotting repetition, not for linguistic analysis.

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