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Word Frequency Counter

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Word Frequency Counter & Keyword Density Checker

Find repeated terms, keyword density, top words, and unique term counts before publishing articles, SEO drafts, content briefs, scripts, or mixed-language text.

Quick answer

A word frequency counter ranks terms by count and shows how much of the text each term represents.

Use it to spot repetition, check keyword density, and make content feel more natural.

Best inputs for frequency checks

Use near-final copy

Frequency analysis is most useful when headings, body text, and key sections are already in place.

Compare with reading metrics

Pair term density with word count and reading time so optimization does not hurt clarity.

Text input
Paste an article, brief, script, or mixed-language draft to analyze repeated terms.

Try a common frequency check

Removes words such as the, and, of, to, and with.

Frequency analysis note

Term frequency is a drafting signal, not an SEO recommendation. Mixed Chinese and English text, punctuation, and stop-word settings can change the ranking.

Frequency table
Top terms are ranked by count, with density calculated from counted terms.

Raw tokens

78

Counted terms

69

Unique terms

59

Top density

4.35%

Top term

TermCountDensity
34.35%
keyword22.90%
repeated22.90%
22.90%
22.90%
22.90%
22.90%
22.90%
22.90%
can11.45%
checks11.45%
content11.45%
count11.45%
density11.45%
draft11.45%
everywhere11.45%
language11.45%
matters11.45%
more11.45%
natural11.45%
practical11.45%
reading11.45%
same11.45%
seo11.45%
signals11.45%
starts11.45%
still11.45%
stuffing11.45%
terms11.45%
than11.45%
time11.45%
useful11.45%
word11.45%
words11.45%
workflow11.45%
writing11.45%
11.45%
11.45%
11.45%
11.45%
11.45%
11.45%
11.45%
11.45%
11.45%
11.45%
11.45%
11.45%
11.45%
11.45%

The table shows up to 50 visible rows. Copy CSV exports the full frequency list from the current text and filters.

Example
Paste an SEO article draft, ignore common stop words, then check whether the target keyword appears naturally instead of dominating the copy.
Assumption
English-like terms are split by letters, numbers, hyphens, and apostrophes. CJK text is counted by individual characters.
Limitation
This is a lightweight text analyzer, not a topic model, semantic SEO scoring, search volume research, or full multilingual word segmentation.
Common use cases
Frequency checks are useful when repetition affects clarity, SEO, or editorial quality.
Find overused terms in articles, landing pages, product copy, and documentation.
Check keyword density before publishing an SEO draft or content brief.
Export a CSV table for editorial notes, QA checklists, or writing reports.

Suggested workflow

Analyze and prepare content

Use this path when a draft needs length checks, frequency analysis, and final publishing cleanup.

Frequently asked questions

What does a word frequency counter show?

It shows repeated terms, counts, unique terms, and density percentages based on the text and filters you choose.

Can it be used as a keyword density checker?

Yes. The density column shows each counted term as a percentage of all counted terms, which is useful for SEO drafts and content QA.

How is text processed?

Text analysis is handled in the browser for this tool based on the current public implementation.

How does it handle Chinese text?

The current analyzer counts individual CJK characters as terms. This is useful for quick mixed-language checks, but it is not a full Chinese word segmentation engine.