Word Frequency Analyzer: Free Online Counter

A word frequency analyzer counts how often each word or short phrase appears in your text and ranks them in a table. Paste an article, choose single words, 2-word or 3-word phrases, and get counts, density percentages and a keyword stuffing warning. Writers and SEOs use it to balance keywords.

What Is Word Frequency Analysis?

Word frequency analysis counts how many times each word or phrase appears in a text and ranks them from most to least common. The output is a word frequency list, usually shown as a table or chart. Researchers use the method to study vocabulary, and in that field a high frequency word is simply a very common one, like the or and. In content work, you use it to see which meaningful terms your page actually repeats.

How Is Density Calculated?

Density is the count of a word or phrase divided by the total number of words or phrases in the analysis, multiplied by 100. If you analyze 2-word phrases, the total is the number of 2-word phrases in the text. Because stop words are removed by default, that total shrinks, so the percentages run higher than a density measured against your full word count.

What Are N-Grams and Stop Words?

A phrase of two or three words is called a bigram or trigram, and the general term is n-gram. Stop words are very common function words such as the, of, is, you and because. They say little about your topic, so filtering them leaves a cleaner list of the terms that define your subject.

How to Use the Word Frequency Analyzer

Using the word frequency analyzer takes six steps and one block of text.

1. Paste your article, blog post or any text into the Paste Text Content box. HTML tags are stripped, so copied page markup will not distort the counts.
2. Open Phrase Length and choose Single Words, 2-Word Phrases or 3-Word Phrases.
3. Open Show Top and choose Top 20, Top 50 or Top 100 rows.
4. Keep Remove Stop Words checked to focus on meaningful terms, or uncheck it to see every word, including filler.
5. Click Analyze Text.
6. Review Total Words, Unique Words, Sentences and Avg. Word Length, then read the table of Word / Phrase, Count, Density and Bar. Click Copy Table to paste the results into a spreadsheet.

That last step replaces the formulas and pivot tables people often build when they search for how to analyze word frequency in Excel.

Worked Example: Reading a Real Result

Say you paste an 800-word blog post about running shoes, select Single Words and leave stop words removed. Total Words shows 800, and about 450 meaningful words remain for the density math. The top row reads running, count 18, density 4.0%, because 18 divided by 450 is 0.04.

Now switch Phrase Length to 2-Word Phrases and click Analyze Text again. The tool finds 449 two-word phrases in 450 words. If running shoes appears 12 times, its density is 12 divided by 449, or 2.7%.

What does this mean? A 4.0% single-word density is high but under the 5% flag, so read those 18 sentences aloud. If they sound repetitive, swap some for specifics such as trail shoes, cushioning or daily mileage. Had running appeared 25 times, density would be 5.6% and the tool would list it under potential keyword stuffing. After editing, paste the new draft and compare.

How Do You Read and Act on the Results?

Start with the four summary numbers, then move to the table, where each row tells you whether a term is working for the page. The summary cards use these meanings:

What a Healthy Table Looks Like

A healthy table puts your real topic terms at the top, and your main keyword and its close variants appear a handful of times each. Many writers aim for roughly 1% to 2% on the primary keyword, but that is a habit, not a rule. Google does not publish an ideal density, and its Search Central spam policies describe keyword stuffing as filling a page with terms in an unnatural way.

What a Problem Table Looks Like

• One term above 5%: the stuffing warning appears. Replace some uses with pronouns, synonyms or more specific phrases.
• Generic words on top: if get, make or thing lead the list, the draft is vague. Add concrete nouns and examples.
• Target keyword missing: if it is absent from the Top 100, work it into the title, intro and a subheading.
• Every phrase has a count of 1: the text is probably too short for 2-word or 3-word analysis. Try Single Words.

The Bar column shows each row's count relative to the top row, so you can spot a steep drop-off or a single dominant term at a glance.

Who Should Use a Word Frequency Counter?

Anyone who wants to see the repetition pattern of a text before it goes live can use it. Typical situations include:

• SEO writers checking that a draft emphasizes its target phrase without overdoing it.
• Editors hunting for pet words an author leans on, such as really or important.
• Students and researchers building a word frequency list for an essay, transcript or interview.
• Content teams auditing old posts for topical gaps by scanning the 3-word phrases.

If you only need length, use the Word Counter. If you want a report focused on keyword density alone, try the Article Density Checker. For reading time and reading level on top of counts, see Word Counter Pro.

Best Practices, Common Mistakes and Troubleshooting

The best results come from analyzing clean body text with all three phrase lengths. These habits prevent most surprises:

• Run all three views. A word can look fine alone while the same phrase repeats ten times in the 2-Word view.
• Paste body copy only. Menus, footers and cookie notices add words you do not want counted.
• Do not chase a number. Write for readers first, then use the table as a check.
• Re-run after every edit. Changing the text or any setting clears the old results, so click Analyze Text again.
• Fix the empty-box message. If you see a prompt to paste text, the box was blank or held only spaces.

If a repeated connector such as however tops your list, the Transition Word Suggester offers alternatives. After editing, run the draft through a grammar checker to catch errors introduced by rewrites.

Accuracy Notes and Limits

The analyzer counts exact word forms, so run, runs and running are separate rows. Add their counts yourself if you want one combined figure for a keyword family.

• Single-character words and lone digits are ignored, so I and 5 never appear.
• The tool suits English text. Accented letters and non-Latin alphabets are not handled well and may split or drop words.
• With stop words removed, a phrase can join words that were not neighbors in your sentence. Running in the shoes becomes running shoes.
• Sentence count relies on ending punctuation, so decimals like 3.5 or abbreviations can inflate it slightly.
• The 5% flag is a built-in warning level, not an official Google threshold, and the tool cannot judge quality or predict rankings.

Paste your draft into the word frequency analyzer above, pick a phrase length and see which terms dominate. Fix anything flagged, then explore more tools in the Content Writing Tools hub to keep polishing.