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.
Text Comparison 1
Text Comparison 2
Similarity Percentage
Similarity Percentage
Analysis
Who Uses This Tool
- • 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
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.
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