Find frequent words in a passage to review its vocabulary. Get up to 30 candidates based on repetition rather than search demand.
How to use
Paste the text and inspect the ranked words with their counts. Only words containing at least four characters enter the list; matching ignores case.
Example
A paragraph that repeats garden five times and soil three times places those terms ahead of words used once.
FAQ
Are these search keywords with traffic data?
No. This is a frequency list, not topic research or search volume analysis. Common words can still appear.
Related tools
A practical task
A frequent word can indicate a subject or simply repetitive wording. Read its surrounding sentences before treating it as an editorial priority. The minimum word length also excludes short but meaningful words, so the list is not a complete topic summary.
Another useful question
Why is a common word near the top?
Frequency alone ranks repetition. This implementation does not promise a language specific stop word filter or knowledge of which term matters to your readers.
Details for interpreting the result
| Detail | Explanation |
|---|---|
| Words and tokens | A word count depends on token rules. Punctuation, apostrophes, digits, and languages without spaces create edge cases. Use the receiving editor's definition when a formal limit must match its own counter exactly. |
| Counts and percentages | A frequency count tells how often an item occurs. Its percentage depends on the chosen denominator: all words, all characters, or another set. Read the unit before comparing two frequency reports. |
| Case sensitivity | Case sensitive matching distinguishes capital and lowercase letters. Ignoring case merges some of those distinctions, but it does not turn different spellings or word forms into the same term. |
| Code points | A Unicode code point identifies a character or a component of one. A letter followed by a combining accent contains two code points even when the screen displays one accented letter. |
| Visible symbols | What looks like one symbol can contain several Unicode components. Emoji sequences can include a base symbol, a skin tone, and joining characters. Counting or splitting them by bytes changes their structure. |
| Similar looking text | Two strings can look identical but use different Unicode sequences. An accented letter can be stored directly or as a letter plus an accent. Visual similarity alone does not establish byte equality. |
| Words and meaning | Sharing words does not prove that two passages make the same claim. Negation, order, context, and different subjects can change meaning while vocabulary stays similar. Read the passages before making an editorial judgment. |