What is a word frequency counter?

A word frequency counter is a text analysis tool that counts how many times each unique word appears in a text passage, ranking them by frequency and percentage keyword density.

Why should I exclude stop words when analyzing text?

Stop words are high-frequency grammatical connector words (like "the", "and", "in", "is"). Filtering stop words highlights the actual subject matter keywords, helping writers evaluate topical SEO density.

How is word density percentage calculated?

Word density percentage is calculated as: (Number of occurrences of a specific word ÷ Total word count in text) × 100.

Is there a character limit or server upload required?

No. The word frequency counter runs 100% in your local browser memory using JavaScript. It processes large articles instantly without uploading your text to remote servers.

Free Word Frequency Counter — Text Word Occurrence & Density Analyzer

Analyze text documents, rank word counts, filter stop words, and calculate keyword density percentages.

Text Document Input

Frequency Filters & Options

Exclude Common Stop WordsCase-Sensitive Matching

Minimum Word Length:

Frequency Analysis

Total Words

Unique Words

Top Keyword

word (5x)

Avg Word Length

6.2 chars

word

5 times

6.1%

frequency

2 times

2.4%

articles

2 times

2.4%

keyword

2 times

2.4%

1 time

1.2%

engine

1 time

1.2%

optimization

1 time

1.2%

content

1 time

1.2%

analysis

1 time

1.2%

#10

rely

1 time

1.2%

#11

heavily

1 time

1.2%

#12

statistics

1 time

1.2%

#13

writing

1 time

1.2%

#14

blog

1 time

1.2%

#15

posts

1 time

1.2%

#16

marketing

1 time

1.2%

#17

copy

1 time

1.2%

#18

understanding

1 time

1.2%

#19

density

1 time

1.2%

#20

helps

1 time

1.2%

#21

prevent

1 time

1.2%

#22

stuffing

1 time

1.2%

#23

ensuring

1 time

1.2%

#24

primary

1 time

1.2%

#25

themes

1 time

1.2%

#26

remain

1 time

1.2%

#27

prominent

1 time

1.2%

#28

counter

1 time

1.2%

#29

scans

1 time

1.2%

#30

text

1 time

1.2%

#31

documents

1 time

1.2%

#32

breaks

1 time

1.2%

#33

sentences

1 time

1.2%

#34

individual

1 time

1.2%

#35

tokens

1 time

1.2%

#36

measures

1 time

1.2%

#37

often

1 time

1.2%

#38

occurs

1 time

1.2%

#39

across

1 time

1.2%

#40

passage

1 time

1.2%

#41

filtering

1 time

1.2%

#42

common

1 time

1.2%

#43

english

1 time

1.2%

#44

stop

1 time

1.2%

#45

words

1 time

1.2%

#46

prepositions

1 time

1.2%

#47

conjunctions

1 time

1.2%

#48

writers

1 time

1.2%

#49

instantly

1 time

1.2%

#50

identify

1 time

1.2%

#51

core

1 time

1.2%

#52

topical

1 time

1.2%

#53

keywords

1 time

1.2%

#54

optimize

1 time

1.2%

#55

choice

1 time

1.2%

#56

streamline

1 time

1.2%

#57

readability

1 time

1.2%

How to Use a Word Frequency Counter for SEO & Content Writing

A word frequency counter calculates how many times individual words occur within an article, essay, or raw text document. For content creators, SEO specialists, copywriters, and academic researchers, measuring word frequency provides valuable quantitative insights into document vocabulary, main topics, and keyword density percentages.

When optimizing content for search engine algorithms, maintaining a natural keyword density (typically between 1% and 3%) prevents keyword over-optimization penalties while ensuring search crawlers accurately index the primary topic of your page.

Why Filtering Stop Words Matters

In natural language processing (NLP), stop words are extremely common function words—such as "the", "is", "at", "which", and "on"—that serve grammatical structure rather than specific semantic meaning.

By enabling the "Exclude Common Stop Words" toggle, our online counter strips away structural filler words, immediately exposing the true core nouns, verbs, and adjectives that define your text payload.

Key Applications for Word Frequency Metrics

SEO Keyword Auditing: Ensure your targeted search queries appear naturally without unintentional repetition.
Writing & Editing Polish: Identify overused crutch words and repetitive phrasing in prose.
Linguistic Text Analysis: Extract prominent terminology and statistical distributions from research reports or customer feedback.