What is Word Frequency Analyzer?
A word frequency analyzer lists the most repeated word tokens in pasted text. It shows each token's count and percentage of the analyzed token set, with an option to remove a built-in list of common English stop words.
This is a local text analysis tool, not a search-volume, ranking, or keyword-research service. It measures only the text supplied. It can reveal repetition and topic emphasis, but frequency alone does not measure quality, relevance, or search intent.
Why Use This Tool?
Repeated words are easy to miss while drafting. A ranked list gives editors a different view of the same copy and can expose accidental repetition, inconsistent terminology, or a missing central phrase.
- Find dominant terms in an article, transcript, or survey response.
- Review overused words before final editing.
- Compare vocabulary after removing common English function words.
- Perform a lightweight on-page content check without uploading text.
How Does This Tool Work?
Input is lowercased, then matched into tokens containing Unicode letters, Unicode numbers, and apostrophes. Punctuation other than apostrophes acts as a boundary. Case variants merge, so “Tool” and “tool” share one entry. Apostrophes remain inside a token, including leading or trailing apostrophes if the pattern captures them.
When stop-word filtering is enabled, exact lowercase matches in the tool's fixed English list are discarded. The remaining tokens are counted, sorted by count from high to low, and alphabetically for ties. At most 50 rows are returned.
Understanding Your Results
Count is the number of occurrences of a token. Density is that count divided by the total count of all tokens remaining after optional stop-word filtering. Because the denominator changes when filtering changes, densities from the two modes should not be compared as though they used the same base.
The analyzer does not stem words or understand meaning. “Run,” “runs,” and “running” are separate entries. It also does not merge synonyms, identify phrases, detect named entities, or evaluate whether a keyword is natural.
Why Tracking This Matters
Balanced terminology helps readers follow a subject, especially in technical documentation. Frequency can also flag mechanical repetition that makes prose sound unnatural. For SEO, use it as an editing observation only; useful coverage, accuracy, structure, and reader intent matter beyond a percentage.
Benefits of Using Word Frequency Analyzer
- Unicode letter and number token matching
- Case-insensitive counts
- Optional English stop-word filter
- Count and density for each result
- Stable count-first ranking
- Browser-local analysis
How Is the Result Calculated?
After tokenization and optional filtering, each token count is divided by the sum of all displayed-candidate token counts. The result is multiplied by 100. Only the top 50 entries are shown, but the denominator includes all remaining tokens before that display limit is applied.
density (%) = token count ÷ total included token occurrences × 100
- Token
- A matched run of letters, numbers, or apostrophes.
- Included total
- All token occurrences remaining after stop-word filtering.
Tips for Better Results
- Compare counts before and after stop-word filtering.
- Review inflected forms separately because no stemming is performed.
- Use the original paragraph to judge whether repetition is awkward.
- Do not target an arbitrary keyword-density percentage.
- Analyze comparable text lengths when comparing drafts.
Conclusion
Word Frequency turns a draft into a clear repetition report. Use the counts to ask better editing questions, not to chase a universal keyword percentage that the tool does not claim exists.