AI Tools Free

Word Frequency Counter

Count words and repeated terms in pasted text. Review unique words, characters, and a frequency table using the selected number of top terms.

Free to useNo sign-upRuns in your browser
Enter your details

Update the inputs to see your result.

Your result
Enter your details

Result will appear here

How Word Frequency Counter works

Normalized matching terms are counted and ranked by their occurrences.

The text is normalized with NFKC and converted to lowercase for word matching. Unicode letter and number sequences are counted, then terms are ordered by frequency and alphabetically when counts tie.

Punctuation separates words. Apostrophes and hyphens split terms; scripts without spaces may be counted as one sequence. Text stays in your browser.

Conceptual illustration of repeated word tokens grouped into frequency counts.
Repeated normalized word tokens form the frequency table.

How to use Word Frequency Counter

Paste the text and choose how many ranked terms to show in the result table.

Paste text and set the table limit

Paste the passage to analyze and enter a whole number of top words to show. Use the same source boundaries and table limit when comparing passages. The limit affects displayed frequency rows rather than which text contributes to the total count.

Text to analyze
Word Frequency Counter native input panel with the actual Text to analyze, Top words to show settings used for this example.
Configure Text to analyze, Top words to show; select Count words.

Count words and inspect frequency

Select Count words and review total words and the ranked frequency table. The page normalizes text and groups matching words without regard to capitalization. Tied frequencies are sorted alphabetically rather than ordered by first appearance.

3
Word Frequency Counter actual result panel showing 3.
Submitted result: 3. Unique words: 2.

Review characters and token boundaries

Read Unique words, Characters, and Non-space characters separately. Punctuation splits word sequences; apostrophes and hyphens can separate terms, and scripts without spaces may form one sequence. These rules explain why the count may differ from another text application.

Output details
Word Frequency Counter actual output details region and result note after submitting the pictured settings.
Review the actual Word Frequency Counter output. Read the result note.

Find repeated words in drafts and compare passages

Frequency describes counted terms, not the importance or meaning of a passage.

Check repeated wording in a draft

Look at the highest frequency rows to identify words you may want to reread in context. Common connecting words remain in the table because there is no stop word removal option. Decide whether a repetition helps the passage before changing it.

Source text lines represented as large readable document shapes.
Work with your source text. Concept illustration.

Compare two passages consistently

Count passages separately with the same displayed row limit. Compare total word counts along with term frequencies, because a longer passage can contain more occurrences without a greater relative emphasis. The tool does not combine or normalize separate document comparisons.

Text documents with highlighted lines for comparison and review.
Compare and review text. Concept illustration.

Check case folding behaviour

The hypothetical text apple Apple banana produces three counted words and two unique terms. Apple is combined with apple in the ranked table. This makes the matching rule visible before using the result for a list whose case distinctions matter.

Text prepared for reuse in another document.
Prepare text for the next task. Concept illustration.

Word frequency, unique terms, and character counts

Read term counts separately from characters and display-row limits.

Terms are counted from letters and numbers after compatibility normalization and case folding. Punctuation separates terms, including apostrophes and hyphens. A phrase written with punctuation can therefore produce more than one counted term.

Character counts use Unicode code points, with a separate count excluding whitespace. They are different from byte sizes and from the word count. Scripts without word separating spaces can produce a sequence that does not match linguistic word boundaries.

A text result and its source shown for careful comparison.
Read the output carefully. Concept illustration.

Keep the count within its text analysis scope

Check token boundaries before comparing counts from another application.

A passage made only of punctuation can have characters without counted words. Check the original text when a term total differs from another counter; different punctuation and word boundary rules can explain the difference.

This tool shows a frequency table and totals. It does not remove common words, classify topics, export a CSV or measure keyword ranking potential. For reading duration, use Reading Time Calculator with an explicit words per minute assumption.

Text characters and line boundaries represented in a review illustration.
Check characters and line breaks. Concept illustration.

Use Word Frequency Counter

Count words and repeated terms in pasted text.

Count words

Word Frequency Counter: common questions

Answers about using Word Frequency Counter and understanding its results.

Does capitalization matter?

No. Apple and apple are grouped together.

Does this count characters?

Yes. The summary includes characters and non-space characters as well as words.

Does the top-words setting change the total word count?

No. It limits the frequency table rows. The summary still counts the complete pasted text.

Are apostrophes and hyphens kept inside words?

No. Punctuation splits matching sequences, so a contraction or hyphenated expression may produce multiple terms. Some scripts without spaces can remain one sequence.