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You're looking at domain 'cleantextfree.com' on the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'cleantextfree' stretches across 13 characters containing 5 vowels alongside 8 consonants. Breaking it apart gives 3 words: clean, text, free. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

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Word Counter
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Text Cleaner
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WORD & SEO
Word Frequency Analysis
How to analyze which words appear most and why it matters for con

WORD & SEO
Keyword Density Analysis
How to measure keyword density and what percentages to aim for.

WORD & SEO
Keyword Density vs. Keyword Stuffing
Where the line is between optimizing and over-optimi

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Count word frequency in any text. Check keyword density, find overused words, and export results to CSV. Free online word frequency analyzer — no signup.

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Word Frequency Counter — Free Online Tool

Analyze word frequency in any text. Ranked word counts, keyword density, and stop word filtering. Free, no signup.

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Count how often each word appears in your text. Free keyword density analyzer.

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Squarespace Domains LLC

CLEANTEXTFREE.COM

Abuse

Google LLC

GOOGLE

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Free online word frequency counter. Analyze text to see which words appear most often. Useful for SEO keyword density analysis.

Word Frequency Counter

A word frequency counter analyzes a block of text and tells you how often each individual word appears. Unlike a basic word counter (which only gives you the total word count), a word frequency counter ranks every unique word by how many times it occurs — showing you the count and percentage (density) for each term.

What is a word frequency counter?

Paste your text into the word frequency counter, make sure 'Filter stop words' is enabled, and look at the Density column next to your target keyword. Keyword density is calculated as (word count ÷ total words) × 100. A density of 1–2% is generally considered safe for SEO without risking over-optimization.

How do I check keyword density in my text?

Stop words are common function words like 'the', 'and', 'is', 'in', 'a', 'of' — words that appear in almost every text and carry no meaningful signal. Filtering them out lets you focus on the content words that actually matter for analysis, such as your topic keywords or overused vocabulary.

What are stop words and why are they filtered?

Most SEO practitioners recommend keeping your primary keyword density between 1% and 2%. Going above 3–4% can appear unnatural to search engines and may trigger over-optimization penalties. The density figure shown in this tool is calculated against the full word count including stop words, so 1–2% is a realistic and safe target.

What is the ideal keyword density for SEO?

Yes. Click the 'Export CSV' button below the text input to download a CSV file containing every word, its count, and its density percentage. The file is generated entirely in your browser — no data is sent to any server.

Can I export the word frequency results to CSV?

Find the most frequently used words in any text to check keyword density or spot repetition — free and instant.

How to Analyze Word Frequency in Text

Paste your text

Paste your article, essay, or any body of text into the input field.

Review the word frequency list

The tool counts how often each word appears and ranks them by frequency. Common stop words (the, a, is) are filtered automatically.

Use the insights

Identify overused words, check keyword density, or spot unintentional repetition. Copy the frequency table if needed.

CleanTextFree Word Frequency Counter

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Requests	IP Address	Location	AS Autonomous System
7	188.114.96.3	United States	AS13335Cloudflare, Inc.
3	142.250.154.156	United States	AS15169Google LLC
3	188.114.97.3	United States	AS13335Cloudflare, Inc.
3	142.251.13.97	United States	AS15169Google LLC
3	104.16.79.73	United States	AS13335Cloudflare, Inc.
19	5	-	-

Security Scan Report: cleantextfree.com

Summary

AI Security Verdict

High Risk

Risk Factors

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History