About N-gram Generator
The N-gram Generator extracts and analyzes word sequences (called n-grams) from any text — from unigrams (1-word) and bigrams (2-word) to trigrams (3-word) and up to 5-word sequences. It reveals how words commonly appear together, helping identify phrase patterns, frequent expressions, and long-tail keyword opportunities.
Essential for SEO research, natural language processing (NLP), and linguistic analysis, providing real-time phrase pattern discovery directly in your browser with complete privacy.
How to Use the N-gram Tool
- Paste or type your text into the input box
- Select n-gram size - Choose from 1-grams (unigrams) to 5-grams
- Set max results - Display top 5-100 most frequent n-grams (default: 20)
- View results - See ranked list with counts in a sortable table
- Copy or download - Export complete n-gram frequency report
The generator works offline after the first load and updates in real-time!
What Are N-grams?
An n-gram is a continuous sequence of n words appearing together in text. They reveal natural phrase patterns and word associations.
| N-gram Type | Description | Example |
|---|---|---|
| Unigram (1-gram) | Single word | ”optimization” |
| Bigram (2-gram) | Two-word phrase | ”search engine” |
| Trigram (3-gram) | Three-word phrase | ”natural language processing” |
| 4-gram | Four-word phrase | ”search engine optimization tool” |
| 5-gram | Five-word phrase | ”machine learning model training process” |
Analyzing n-grams reveals recurring expressions, keyword clusters, and semantic relationships.
Key Features
✅ 1-5 Word Sequences - Generate unigrams through 5-grams
✅ Frequency Ranking - See count for each n-gram
✅ Adjustable Results - Show top 5-100 n-grams
✅ Phrase Pattern Recognition - Detect meaningful collocations
✅ Unicode Support - Works with 100+ languages
✅ Export Reports - Copy or download formatted analysis
✅ 100% Private - All processing happens in your browser
✅ Works Offline - Functions without internet after initial load
Use Cases
SEO & Content Strategy
Discover long-tail keyword phrases, analyze top-ranking content for common expressions, identify natural phrase patterns for optimization, and find keyword variations.
Data Science & NLP
Create features for text classification, build language models, analyze text corpora, study word associations for clustering, and develop prediction models.
Content Marketing
Find popular phrase combinations, analyze competitor content patterns, identify trending topic phrases, and optimize blog post titles.
Linguistic Research
Compare phrase usage across authors or regions, identify language evolution patterns, study collocation and co-occurrence, and analyze translation shifts.
Academic Writing
Identify frequently used academic phrases, analyze terminology usage patterns, study field-specific expressions, and improve writing consistency.
N-gram Size Guide
When to Use Each Size
Unigrams (1-gram):
- Overall vocabulary analysis
- Word frequency distribution
- Basic keyword research
- Similar to word frequency analysis
Bigrams (2-gram):
- Common two-word phrases
- Basic keyword combinations
- Natural phrase discovery
- Most useful for SEO
Trigrams (3-gram):
- Long-tail keyword research
- Natural language patterns
- Specific phrase targeting
- Good balance for most analysis
4-grams & 5-grams:
- Very specific phrase analysis
- Detailed pattern recognition
- Technical or specialized content
- Requires longer text samples
Recommended: Start with bigrams (2-grams) for most SEO and content analysis tasks.
Understanding the Results
Reading the Table
Rank: Position in frequency order (1 = most common)
N-gram: The word sequence found
Count: Number of times the sequence appears
What the Counts Mean
High frequency n-grams: Core topics, important concepts, potential keywords
Medium frequency: Supporting topics, related concepts
Low frequency (count: 1-2): Unique phrases, less relevant for patterns
For SEO: Look for 2-3 word phrases with 3+ occurrences as potential keywords
N-gram Generator vs Word Frequency
| Feature | N-gram Generator | Word Frequency |
|---|---|---|
| Focus | Multi-word sequences | Individual words |
| Best For | Phrase discovery, keyword research | Vocabulary statistics |
| Output | Phrase count | Word count & percentage |
| Use Case | SEO, NLP, content analysis | Writing, readability, statistics |
| Granularity | Word sequence level | Single word level |
Best Practices
For SEO Research:
- Use bigrams and trigrams for long-tail keywords
- Look for phrases with 3+ occurrences
- Analyze competitor pages for phrase patterns
- Combine with word frequency for complete analysis
For NLP & Data Science:
- Use n-grams as features for classification
- Longer texts provide better pattern detection
- Consider removing stop words for cleaner results
- Export results for further processing
For Content Analysis:
- Compare n-grams across different documents
- Identify brand-specific phrase patterns
- Track phrase evolution over time
- Use for consistency checking
General Tips:
- Minimum 500 words for meaningful bigram analysis
- Minimum 1000 words for trigram/4-gram analysis
- Longer n-grams require more text for patterns
- Adjust max results based on text length
Frequently Asked Questions
What is an n-gram?
An n-gram is a sequence of n consecutive words from text. For example, in “natural language processing,” the bigrams are “natural language” and “language processing.” N-grams help identify common phrases and word patterns.
Which n-gram size should I use?
For SEO: Use bigrams (2) or trigrams (3) to find long-tail keywords. For NLP: Start with bigrams, then experiment with 3-5. For linguistics: Try all sizes to see different pattern levels. For beginners: Start with bigrams - they’re most practical.
How many words do I need for good results?
Bigrams: Minimum 300-500 words
Trigrams: Minimum 1000 words
4-grams: Minimum 2000 words
5-grams: Minimum 3000+ words
Longer n-grams require more text to show meaningful patterns. Short texts may show mostly unique n-grams.
Does it automatically remove stop words?
No, the tool includes all words. This is intentional because phrases like “out of the box” or “on the other hand” are meaningful n-grams despite containing stop words. You’ll see natural phrases as they appear in text.
Can I use this for multiple languages?
Yes! The generator works with 100+ languages including English, Spanish, French, German, Chinese, Japanese, Arabic, Ukrainian, and more. It properly handles Unicode characters and non-Latin scripts.
How is this different from keyword density?
N-gram analysis shows all multi-word phrases and their frequency, while keyword density focuses on specific target keywords. Use n-grams to discover which phrases naturally occur; use keyword density to track specific terms you’re targeting.
What’s a good n-gram frequency for SEO?
For SEO target phrases, aim for 2-4 occurrences in a 1000-word article (0.2-0.4% density). More natural phrases will appear 3-10 times. If an n-gram appears 20+ times in short text, it may be overused.
Why do I see short phrases repeated?
High-frequency short n-grams often indicate: (1) Main topic/focus of the text, (2) Potential keyword phrases, (3) Common expressions in your writing, (4) Brand names or technical terms. These are usually the most interesting results!
Can I export results for further analysis?
Yes! Use the copy or download buttons to export the complete n-gram frequency table. The exported report includes rank, n-gram text, and count for all results. Perfect for importing into spreadsheets or analysis tools.
Is my text data private?
Absolutely. All analysis happens entirely in your browser using JavaScript. Your text never leaves your device, and we don’t log, track, or collect any data. The tool works completely offline after initial load.