Keyword Density
Analyzer
Analyze keyword frequency and density in your content. Optimize SEO, identify patterns, and improve content strategy with detailed keyword insights.
Input Source:
Manual Text
Type or paste content
Load from URL
Extract from webpage
Analyze Keywords
Optimize Content
Instantly analyze keyword frequency and density in your content. Our powerful analyzer helps you optimize SEO, identify content patterns, and improve your content strategy with detailed keyword insights.
Whether you're optimizing blog posts, analyzing competitor content, or improving SEO rankings, our keyword density analyzer delivers accurate, real-time results with multi-word phrase detection.
How Keyword Density Analyzer Works
Simple Steps:
- 1Choose input mode - manual text or load from URL
- 2Paste your content or enter a webpage URL
- 3Adjust analysis settings (word length, filters)
- 4View instant results with keyword statistics
- 5Analyze single keywords and multi-word phrases
Pro Tips:
- Use "Load from URL" to analyze competitor content and learn from their keyword strategies
- Adjust minimum word length to focus on substantial keywords (3-5 characters recommended)
- Enable "Exclude Common Words" to filter out stop words and focus on meaningful terms
- Monitor two-word and three-word phrases - they're often more valuable than single keywords
- Copy the full report to track keyword changes across multiple content revisions
Common Use Cases
SEO Content Optimization
Optimize blog posts and articles for target keywords while avoiding over-optimization penalties
Competitor Analysis
Analyze competitor content to understand their keyword strategies and identify gaps
Content Strategy Planning
Identify keyword opportunities and natural phrase patterns in your content
Academic Writing
Analyze term frequency in research papers and ensure balanced keyword distribution
Product Descriptions
Optimize e-commerce product descriptions for search visibility
Blog Post Analysis
Review published content to identify keyword patterns and improvement opportunities
Frequently Asked Questions
🔧Technical Details & Keyword Analysis Math
1Keyword Density Calculation
The fundamental metric for measuring keyword usage in content. Density indicates how frequently a keyword appears relative to total word count.
Mathematical Formula
Expressed as percentage
Same formula for multi-word phrases
Raw frequency without percentage
Worked Example
Status: ✓ Optimized
Falls within ideal 1.5-3.5% range
Why Density Matters for SEO:
Search engines use density to understand topic focus
Too low = poor targeting, too high = spam penalty
Keywords should appear throughout content naturally
Part of broader on-page SEO optimization
2SEO Optimization Status & Thresholds
Keywords are categorized based on industry-standard density thresholds to help identify optimal usage for SEO.
Optimized
Keywords: 1.5% - 3.5%
Phrases: 0.8% - 2.5%
Ideal range for SEO without over-optimization. Provides clear relevance signal while maintaining natural readability.
Overused
Keywords: > 3.5%
Phrases: > 2.5%
May trigger keyword stuffing penalties from search engines. Reduce usage and use synonyms/variations.
Underused
Keywords: < 1.5%
Phrases: < 0.8%
Opportunity to increase keyword presence naturally. May benefit from additional strategic placement.
SEO Best Practices Based on Thresholds:
Aim for 2-3% density. These are your main target keywords that define the page topic.
Aim for 1-2% density. Supporting terms that provide context and relevance.
0.5-1.5% density is sufficient. These phrases naturally appear less frequently but are highly valuable.
Use synonyms and related terms instead of repeating exact keywords. Search engines understand semantic relationships.
3N-Gram Analysis & Phrase Detection
Analyzes consecutive word sequences (n-grams) to identify multi-word keywords, long-tail phrases, and natural language patterns critical for modern SEO.
Two-Word Phrases (Bigrams)
Detection Algorithm:
Scans consecutive word pairs: word[i] + word[i+1]
for i in 0..length-1:
phrase = words[i] + " " + words[i+1]
Examples: "keyword density", "content optimization", "search engine"
Optimal Density: 0.8% - 2.5%
More restrictive than single keywords due to lower natural occurrence
Three-Word Phrases (Trigrams)
Detection Algorithm:
Scans consecutive word triplets: word[i] + word[i+1] + word[i+2]
for i in 0..length-2:
phrase = words[i] + " " +
words[i+1] + " " +
words[i+2]
Examples: "search engine optimization", "keyword density analyzer", "content marketing strategy"
Optimal Density: 0.8% - 2.5%
Highly specific phrases with strong intent signals
Why Multi-Word Phrases Matter for SEO:
Multi-word searches indicate specific user intent. "buy running shoes" is more actionable than just "shoes".
Long-tail phrases face less competition. Easier to rank for "keyword density analyzer tool" than "analyzer".
Voice queries use natural phrases. "how to check keyword density" matches 3-5 word patterns.
Specific phrases convert better. "free keyword density tool" indicates ready-to-use intent.
4Text Processing & Tokenization
Advanced Unicode-aware text processing that handles international characters, diacritics, and complex scripts.
Tokenization Process
text.match(/[\p{'{L}\p{'}M}]+/gu) Extracts words using Unicode property escapes. Supports 150+ languages including Chinese, Arabic, Hebrew, emoji.
word.toLowerCase() Optional case-sensitive mode preserves original casing. Default converts to lowercase for matching.
- • Length filter (configurable minimum)
- • Stop word removal (90+ common words)
- • Duplicate detection and counting
Stop Words List
Common Words Excluded (90+ total):
Why exclude these? Stop words appear frequently in all content regardless of topic. They add noise to keyword analysis and don't provide SEO value.
International Language Support:
English
Full support
Spanish
Diacritics: áéíóú
French
Accents: èêëç
German
Umlauts: äöüß
Chinese
汉字支持
Japanese
ひらがな・カタカナ
Arabic
RTL: العربية
Russian
Cyrillic: русский
5Performance Optimization & Efficiency
Optimized for real-time analysis of large documents with efficient data structures and reactive updates.
Time Complexity
O(n)Linear scan through words array. Each word processed once.
O(n)Single pass checking consecutive pairs. n-1 comparisons.
O(n)Single pass checking consecutive triplets. n-2 comparisons.
Space Complexity
O(k)Where k = unique keywords. Typical k ≪ n for natural text.
O(n)Stores position for each occurrence. Worst case: all words identical.
O(n + k)Efficient for typical content. 10,000 words ≈ 1-2MB memory.
Real-World Performance Benchmarks:
| Document Size | Word Count | Processing Time | Memory Usage |
|---|---|---|---|
| Short Article | 500 | <10ms | ~100KB |
| Blog Post | 1,500 | <20ms | ~300KB |
| Long Article | 5,000 | <50ms | ~1MB |
| Full Document | 10,000 | <100ms | ~2MB |
| Book Chapter | 50,000 | <500ms | ~10MB |
Note: Tested on modern desktop browser (Chrome/Firefox). Mobile devices may be 2-3x slower. Vue 3 reactivity ensures UI updates remain smooth even with large documents.
🔒Privacy & Server-Assisted Processing
Your text content stays completely private. All analysis happens locally in your browser. Our server only assists with URL fetching to bypass CORS restrictions.
✓Text Analysis Privacy
🔗URL Loading Process
How It Works:
Manual Text Mode: All processing is 100% client-side with zero server communication. Your text stays on your device and is analyzed using Vue 3's reactive system with pure JavaScript.
URL Loading Mode: Uses our server as a proxy to bypass browser CORS restrictions. When you load from a URL, only the URL itself is transmitted to our server. Our server fetches the webpage content and immediately returns it to your browser. We do not store, log, or process the content - it's simply passed through to your browser where all analysis happens locally.
The Technology Stack:
- Vue 3 Composition API: Reactive state management for instant updates
- JavaScript Map Objects: Efficient O(1) keyword lookups
- Unicode Regex (\\p{'{L}\\p{'}M}): International character support
- Server Proxy (URL mode only): Nuxt API endpoint to fetch external URLs
- Browser Storage: Only temporary in-memory storage, nothing persisted
- No External Dependencies: Pure JavaScript for analysis, no third-party libraries
What Gets Sent to Our Server:
- • Your text content
- • Keyword analysis results
- • Any form of content data
- • Personal information
- • Analytics on what you analyze
- • The URL you want to fetch
- • Standard HTTP request headers
- • Nothing else
Server acts only as a CORS proxy, immediately returning fetched content without any processing or storage.
Verify Privacy Yourself:
Open your browser's Network tab (Press F12 → Network tab) while using the analyzer. In manual text mode, you'll see zero HTTP requests related to your content. In URL mode, you'll see only one request to /api/fetch-url?url=... containing only the URL parameter - your analyzed text never appears in any request.
- Open Developer Tools (F12 or right-click → Inspect)
- Click the "Network" tab
- Clear any existing requests (trash icon)
- Manual text: Paste content - see zero requests sending your text
- URL mode: Load a URL - see only one GET request with URL parameter
- Check request payload - your text content is never transmitted
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