Count how often each word appears and rank them. Useful for copy and text analysis. Runs locally.
Count how often each word appears and rank them. Nothing is uploaded.
What the word frequency tool does
Paste any text and see how many times each word appears, ranked from most to least frequent. It is handy for SEO copy checks, essay analysis and spotting repetition.
Frequently asked questions
Does it count punctuation?
No. Words are matched as letters, digits and apostrophes, so punctuation is ignored.
Is it case sensitive?
No. “Cat” and “cat” are counted together.
Is anything uploaded?
No. Counting happens in the page.
How to use it
- Paste or type your text into the input box labeled “Paste text…”. The box accepts any length of content, from a few sentences to several thousand words.
- Use the “Show top N” control to set how many results you want returned, then wait a moment for the table to populate. Results appear automatically after the text is entered or changed.
- Review the ranked table showing each word alongside its occurrence count, ordered from highest frequency to lowest.
- Copy the results as needed, or paste a new block of text into the same input box to start a fresh count without refreshing the page.
Where it comes in handy
A 1,200-word blog draft on sustainable packaging contains the word “plastic” 18 times. Running it through this tool reveals the repetition before publication, letting you cut the count down to a cleaner range for readability.
An academic essay of 2,500 words needs to avoid overusing transition phrases. Copying it into the counter shows that “however” appears 31 times while “therefore” shows up 22 times, so you can replace repeats with synonyms during revision.
A product listing page holds roughly 800 words of description. After pasting it in, you notice the term “premium” ranks third at 14 occurrences, which suggests the copy leans too heavily on a single selling point that could be redistributed.
Worth knowing
- Hyphenated words are split into separate tokens. “Self-aware” counts as two words—”self” and “aware”—rather than one combined entry.
- Numbers and digits inside words are preserved as part of the token. A term like “5G” stays intact, but leading zeros are not stripped, so “01” and “1” are treated as different words.
- Words containing apostrophes are counted as a single token. “Don’t” is one entry, not two, which can inflate counts if contractions are common in the source text.