Paste any text below and this word frequency analyzer instantly shows how many times each word appears, ranked from most to least frequent — no sign-up, right in your browser.
Paste text to see word frequency.
Everything you need to know about counting and analyzing word usage.
Reading back through a whole document to spot which words you keep repeating is slow and easy to get wrong. A word frequency counter does it instantly — paste any text in and every word's count is calculated and ranked from most to least frequent, so overused words, common themes, and repeated phrases are obvious at a glance.
It's a free word frequency analyzer that runs entirely in your browser: no sign-up, no API key, and no limit on how many times you can use it in a session.
Word frequency analysis shows up anywhere someone needs to understand a piece of text quickly, without reading it line by line.
Paste in an essay, article, or blog post draft to see which words and themes dominate. It's a fast way to check whether a piece of writing repeats itself too often, or to get a rough sense of what a document is actually about before reading the whole thing.
As a keyword frequency checker, this tool doubles as a lightweight keyword density checker — paste a page draft to see how often your target keyword appears relative to the rest of the content, so you can catch both under-optimization and keyword stuffing before publishing.
Researchers and students use word frequency analysis to spot which terms recur most in a paper or dataset of text, which can hint at the central topics or reveal habitual overuse of certain phrases in academic writing.
A quick look at how word frequency ranking works on a short piece of text.
| Word | Count | % of total words |
|---|---|---|
| the | 4 | 16.7% |
| dog | 3 | 12.5% |
| fox | 2 | 8.3% |
| over | 2 | 8.3% |
This is from a 24-word sample sentence with 15 unique words. Notice how "the" tops the list even though it says nothing about the topic — that's exactly what hiding common stop words is for, so the more meaningful, topic-specific words like "dog" and "fox" stand out instead.
Word frequency is simply a count of how many times each word occurs in a piece of text. Ranking those counts from highest to lowest gives you a frequency distribution — a quick map of which words a document leans on most.
Total words counts every word in the text, including every repeat. Unique words counts each distinct word only once, no matter how many times it shows up. A short, repetitive text can have a high total-word count but a low unique-word count — that gap is itself a useful signal about how varied the vocabulary is.
Stop words are common connective words — "the," "and," "is," "of" — that appear constantly in any language but carry little topical meaning on their own. Hiding them is what turns a raw word count into a genuine content analysis tool, since what's left is the vocabulary that actually signals what the text is about. That same filtered view is what makes this useful as a keyword density checker for SEO content review.
Your text is analyzed live with JavaScript: it's split into individual words, punctuation is stripped from each one, and every word is counted case-insensitively so "The" and "the" land in the same bucket. The results are then sorted by frequency, from most to least common, and rendered instantly as you type. Nothing you paste is uploaded to a server or stored anywhere.
Everything happens locally in your browser. Whatever you paste is never sent to a server, stored, or logged — you can analyze a private document just as safely as a public one.
Counting is based on exact word forms, not meaning, so it won't group "run," "runs," and "running" together, and it isn't aware of language beyond basic punctuation stripping. Very large inputs — think whole books rather than articles — may feel a little sluggish since everything runs in the browser rather than on a server.
Nine more free, no-API-key tools live on the homepage.
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