Word Frequency Counter
Analyze your text to find the most frequently used words and their distribution.
Paste your text below to analyze word frequency:
How to use Word Frequency Counter
- 1
Paste your text
Enter or paste the content you want to analyze into the input box; counting starts as you go.
- 2
Adjust the settings
Set a Minimum Word Length to skip short words and choose whether to exclude common stop words like the and and.
- 3
Review the frequency table
See each word with its count and percentage, plus the total and unique word tallies for the whole text.
- 4
Sort, filter, and copy
Sort by frequency or alphabetically, filter to a specific term, then click Copy Results to export the list.
Making Sense of Word Frequency Analysis
What word frequency tells you
A word frequency count splits your text into individual words and tallies how many times each one appears, then ranks them. The result is a fingerprint of your writing: the words you lean on most rise to the top. In a 1,000-word article, seeing that "customer" appears 30 times and "however" appears 22 times instantly reveals both your subject and a stylistic habit you may not have noticed while writing.
Because the tool also shows each word's percentage of the total, you can compare texts of different lengths on equal footing. A word at 3% means it is one of every 33 words on the page. That single figure is the foundation for keyword analysis, style auditing, and basic text mining alike.
Case-folding and how words are grouped
The counter is case-insensitive, so "Apple," "apple," and "APPLE" are merged into one entry rather than three. This matters because a word that starts sentences will appear capitalized and mid-sentence in lowercase; without folding, its true frequency would be split across two rows and look artificially small.
Keep in mind that grouping is by exact spelling after case-folding, not by meaning. "Run," "runs," and "running" are counted as three separate words because they are different strings. If you want to study a concept rather than a literal token, mentally add the related forms together, or search the filtered list for the shared stem.
Stop words and the minimum length filter
The most common words in any English text are function words: "the," "a," "and," "of," "to." Left in, they dominate the top of the list and bury the words that actually carry meaning. Turning on Common Words Excluded removes these stop words so your content words surface, which is what you usually want for keyword and topic analysis.
The Minimum Word Length setting is a second, blunter filter. Raising it to four or five characters drops short filler and most stop words at once, even ones not on the exclusion list. Use a low minimum when you care about every token, and a higher one when you only want substantive terms. The two filters stack, so you can combine them.
Keyword density for SEO
Keyword density is a word's frequency expressed as a percentage, and this tool reports it as a share of the counted words — the terms left after the minimum-length and common-word filters are applied, not every space-separated token in the box. If your target phrase's main word sits around 1% to 2%, it signals relevance to that topic without looking forced. There is no official ideal number; the figure is a sanity check, not a target to game.
The real danger is over-optimization. Repeating a keyword until it hits 5% or 6% reads unnaturally to humans and can trip search engines' spam signals, hurting rather than helping rankings. Use the percentage column to confirm a keyword is present and prominent, then stop. Modern search rewards natural language and related terms far more than raw repetition.
Catching your writing tics
Every writer overuses a handful of words. Frequency analysis exposes them objectively. Common culprits include "just," "really," "actually," "very," and "that," along with favorite transitions like "however" or "moreover." Seeing one of these in your top results, especially with the stop words removed, is a clear prompt to vary your vocabulary.
This is a powerful self-editing pass. Run a finished draft, exclude common words, and scan the top twenty. Anything that is not central to your subject but appears unusually often is a crutch word. Trimming even a few instances tightens prose and makes the remaining uses land harder.
Content analysis and text mining
Beyond editing, frequency lists are a lightweight form of text mining. Paste a competitor's article and the top content words reveal which themes they emphasize. Drop in survey responses or product reviews and the rising words point to what customers care about most, surfacing complaints or praise that would be slow to spot by reading.
The same approach works on transcripts, support tickets, and research notes. Because the analysis is instant and private, you can iterate quickly: filter to a suspected term, check its true count, sort alphabetically to spot variants, then copy the table into a spreadsheet for deeper comparison across documents.
How to read the results
Start with the totals. Total Words is every counted token; Unique Words is how many distinct ones there are. Their ratio hints at vocabulary richness, since a low number of unique words relative to the total suggests repetitive phrasing. Then read the ranked table top-down: the highest-frequency content words are your de facto topic.
Use sorting deliberately. Sort by frequency to find your dominant terms, then sort alphabetically to spot near-duplicates like singular and plural forms sitting apart. The filter box is ideal for answering a specific question, such as how many times a brand name appears. Together these controls turn a flat list into a focused diagnostic of your text.
Frequently asked questions
How is the percentage for each word calculated?
Can I ignore common words like 'the' and 'a'?
What does the Minimum Word Length setting do?
Does it count words case-sensitively?
Is my text uploaded for analysis?
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