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Word frequency counter

Count how often each word appears in your text, ranked from most to least.

Related tools

All Counting & analysis tools →
Character frequency counterCount how often each character appears in your text.Word counterCount words, characters, sentences and reading time instantly.Reverse each wordReverse the letters inside each word while keeping the word order.Reverse word orderReverse the order of the words on each line (keeping the letters intact).One word per lineSplit text so that every word is on its own line.Word wrap textWrap long lines to a maximum width without breaking words.Count occurrencesCount how many times a word or phrase appears in your text.Vowel & consonant counterCount the vowels, consonants, letters and words in your text.

Open Word frequency counter and you get an answer straight away, with no account to create. It sits under Counting & analysis in our catalogue, alongside Character frequency counter and Word counter.

How to use it

  1. Open the tool — no signup or install needed.
  2. Enter your input or adjust the available options.
  3. Get your result instantly, then copy or download it.

Frequently asked questions

What is Word frequency counter?

Count how often each word appears in your text, ranked from most to least.

When would I actually use this?

Fitting a piece to a limit: an essay to a word count, a post to a network's cap, a meta description to what a result page will show.

What is the most common mistake?

Assuming one character equals one unit of the limit. An emoji can cost two or more, a combining accent can cost two, and several platforms bill a link at a flat rate regardless of length.

How is Word frequency counter different from Character frequency counter?

They sit next to each other but answer different questions: Character frequency counter is the one to open when you need it to count how often each character appears in your text. Pick whichever matches what you're starting from — both are free.

Is there a tool for the next step?

Word counter is the closest one after this: Count words, characters, sentences and reading time instantly.

Where do the figures come from?

Counting follows Unicode: the tool reports code points and grapheme clusters separately, because they differ for emoji and combining marks. Per-network limits come from each platform's published specification.

Further reading

All guides →
ExplainerWord Frequency and Zipf's Law: We Counted Six Books in Six Languages and Fitted the SlopeThe nth most common word appears about 1/n as often as the first. We counted six public-domain books, printed rank × frequency, fitted log frequency against log rank, and got slopes between -1.02 and -1.08 in all six languages — plus the two places the law breaks.ExplainerCounting Characters Against a Limit Someone Else SetOne emoji is 1 character, or 7, or 11, or 25, depending on who is counting. Which one your form, your database and your SMS gateway mean — and a one-paste test that tells you which you are facing.ExplainerWhere a Line May Break: The Unicode Algorithm Behind Every Wrapped Paragraph"Break at spaces" fails in most of the world's writing systems. UAX #14 gives every character a line-break class; we looked ours up in Unicode 17.0.0 and ran a conforming implementation over no-break spaces, soft hyphens, zero-width spaces, URLs, Japanese and Thai.GuideConverting Between List Formats Without Losing Data: The Quoting Rules Nobody ReadsTurning a newline list into a comma list is trivial until an item contains a comma. RFC 4180's quoting rules, why a CSV field may contain a newline, why European spreadsheets use the semicolon, and what an empty item does to a round trip — every case run and printed.ExplainerWhat Readability Scores Actually Measure (and the Three Things They Cannot See)Flesch Reading Ease and Flesch-Kincaid Grade Level count syllables and sentence length. Nothing else. Both formulas in full, one passage scored end to end, and the comma trick that buys 3.9 grade levels without changing a word.ExplainerA Thousand French Words Covers 80% — and Tells You NothingWe measured the coverage curve of French on 313 million words of subtitles: the top 1,000 forms account for 80.77% of running text. Then we took a normal French sentence in which 80% of the tokens are inside that top 1,000, and showed that a reader who knows every one of them learns nothing from it.