ToolNestr

Keyword Extractor

Paste any text to extract single keywords, 2-word phrases, and 3-word phrases sorted by frequency.

Reviewed by the ToolNestr Editorial Team — July 2026

Text to extract keywords from
0 words, 0 unique

How keyword extraction works

The keyword extractor uses n-gram analysis to break text into single words (unigrams), two-word sequences (bigrams), and three-word sequences (trigrams). The pipeline: (1) lowercase and strip punctuation, (2) split by whitespace, (3) filter out a built-in list of ~150 English stop words (e.g., "the", "is", "and"), (4) slide a window of size 1, 2, or 3 across the remaining tokens, (5) count frequency of each n-gram in a hash map, and (6) sort descending by count.

For example, from the phrase "best SEO tools for content marketing" after stop word removal, the unigrams are [best, seo, tools, content, marketing]; bigrams are [best seo, seo tools, tools content, content marketing]; trigrams are [best seo tools, seo tools content, tools content marketing]. Each n-gram receives a frequency count and a visual bar scaled to the max frequency for easy comparison.

Worked example

Text: "SEO tools help with SEO analysis. Use SEO tools for better rankings."

Unigrams: seo(2), tools(2), help(1), analysis(1), use(1), better(1), rankings(1)
Bigrams: seo tools(2), tools help(1), help seo(1), seo analysis(1), use seo(1), tools better(1), better rankings(1)
Trigrams: seo tools help(1), tools help seo(1), help seo analysis(1), use seo tools(1), seo tools better(1), tools better rankings(1)

Extraction use cases

How keyword extraction is used across different industries.

SEO content optimization40%
Competitor analysis25%
Topic research20%
Academic15%
📰

SEO Content Writer

Identifies target keywords and checks that content covers the right topics and phrases for search visibility.

📋

Blog Editor

Analyzes submitted articles to ensure the main topics match the editorial brief and keyword targets.

🔍

Market Researcher

Analyzes competitor content to identify keyword gaps and opportunities for new content creation.

🎓

Student

Extracts key terms from academic papers and articles to quickly understand the core topics and themes.

CategoryExamples of stop words
Articlesa, an, the
Prepositionsin, on, at, for, by, with, to, from
Conjunctionsand, but, or, nor, yet, so
PronounsI, you, he, she, it, we, they, me, him, her
Common verbsis, are, was, were, be, been, have, has, do, does

How to use the Keyword Extractor

1

Paste text

Copy and paste the text you want to analyze into the input area. Any length works.

2

Extract keywords

Click Extract keywords to process the text and identify the most frequent words and phrases.

3

Browse by type

Switch between single words, 2-word phrases, and 3-word phrases to explore different levels of keyword detail.

Tips for keyword extraction

Check bigrams and trigrams too

Single words can be misleading. Two-word and three-word phrases often reveal the true topics and context of your content.

Use extracted keywords for meta tags

The most frequent phrases from your content should inform your meta keywords, headings, and page titles.

Compare against competitors

Run competitor content through the extractor and compare the keyword profile. Missing keywords may be content opportunities.

What is keyword extraction

Keyword extraction is a text analysis technique that identifies the most important words and phrases in a document. It helps content creators understand the main topics covered, optimize for search engines, and ensure content aligns with target keywords.

Unigrams vs bigrams vs trigrams

Unigrams (single words) give a broad overview but can be ambiguous. Bigrams (two-word phrases) add context — "coffee" becomes "coffee shop". Trigrams (three-word phrases) provide even more specificity, like "specialty coffee shop". Using all three gives a complete keyword picture.

Stop words

Stop words are common words that carry little meaning, such as "the", "is", "and", and "of". Removing them before analysis ensures that extracted keywords focus on meaningful, content-bearing terms.

Applications in SEO

Keyword extraction powers SEO in several ways: identifying primary and secondary keywords, checking keyword density, discovering content gaps, analyzing competitor strategy, and optimizing existing pages for better search performance.

Frequently asked questions

What is keyword extraction?

It identifies the most frequently occurring words and phrases in a text, helping you understand the main topics and themes.

What are unigrams, bigrams, and trigrams?

Unigrams are single words, bigrams are two-word phrases, and trigrams are three-word phrases. The extractor finds the most frequent of each.

Are stop words removed?

Yes. Common English stop words like "the", "is", "and", "of" are automatically excluded to show meaningful keywords only.

Can I see the frequency count for each keyword?

Yes. Each keyword shows its occurrence count and a visual frequency bar for easy comparison.

Is my text sent to a server?

No. All extraction happens in your browser. Nothing is uploaded or stored.

Does it handle large texts?

Yes. The extractor can process large texts efficiently, but very large documents may cause brief browser lag.

How many keywords does it show?

It shows the top keywords for each n-gram type. The number depends on the length of your text and frequency distribution.

What is keyword extraction used for?

SEO content optimization, competitor analysis, topic research, academic text analysis, and identifying content gaps.

Does it handle non-English text?

The stop word list is English-specific. For other languages, some common words may not be filtered.

Is punctuation removed?

Yes. Punctuation is stripped so that "SEO," and "SEO" are counted as the same word.

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