NT Nano TextUtils
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Text Similarity & Fuzzy Matcher

Determine how similar two texts are using advanced distance algorithms (Levenshtein, Jaccard, Cosine). It gives you a percentage score (0% to 100%) indicating how close the match is. This is effectively a 'fuzzy search' or lightweight plagiarism detector to see if content has been copied or slightly rewritten.

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Text Comparison 1

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Text Comparison 2

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Similarity Percentage

Similarity Percentage

Text 1
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Text 2
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words 1
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words 2
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Similarity
100%
Very similar

Statistics

Text 1
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Text 2
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Operations
0 Operations
Minimum number of single-character edits needed
How this tool works Documentation & SEO

Determine how similar two texts are using advanced distance algorithms (Levenshtein, Jaccard, Cosine). It gives you a percentage score (0% to 100%) indicating how close the match is. This is effectively a 'fuzzy search' or lightweight plagiarism detector to see if content has been copied or slightly rewritten.

Check similarity percentage between two texts. Detect plagiarism and duplicate content with fuzzy matching algorithms.

Teachers checking for plagiarism
SEO Writers avoiding duplicate content penalties
Developers implementing fuzzy search
Trademark attorneys checking brand similarity
Key features
  • Percentage-based score (0-100%)
  • Levenshtein Distance calculation
  • Jaccard Index analysis
  • Visual heat map of matches
  • Ignore case/whitespace options
Frequently Asked Questions FAQ
What is a 'Good' similarity score?
It depends. For plagiarism detection, you want 0%. For search relevance, you want high scores (>80%). A score of 100% means the texts are identical.
How does it calculate it?
It measures the 'Edit Distance'—the number of single-character edits (insertions, deletions, substitutions) required to change Text A into Text B.