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Text Similarity Checker

LOCAL · Browser-Only

Compare two texts and calculate similarity percentage

Text A

Text B

OptionsIgnore caseIgnore extra whitespace

Enter text in both fields to see similarity analysis.

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What is Text Similarity Checker?

Free online text similarity checker to compare two blocks of text and calculate how similar they are using multiple algorithms.

See Levenshtein distance, Jaccard similarity, cosine similarity, and a combined percentage score. Highlights matching and differing words. Great for plagiarism checking, content comparison, and document versioning. All processing runs in your browser. No signup required.

How to Use Text Similarity Checker

1Paste the first text into the left input area
2Paste the second text into the right input area
3View the similarity percentage and algorithm breakdown
4Review highlighted matching and differing words

Frequently Asked Questions

How is text similarity calculated?

The tool uses multiple algorithms: Levenshtein distance measures character-level edits needed, Jaccard similarity compares word overlap between sets, and cosine similarity measures directional similarity of word frequency vectors. The combined score averages these methods.

Can I use this for plagiarism detection?

It provides a basic similarity score that can indicate copied content, but it's not a full plagiarism detector. It compares the two texts you provide directly - it doesn't search the web for matches.

Is there a text length limit?

No artificial limit. Since processing is local, very long texts (100,000+ characters) may be slower on older devices but will still work.

How do I compare two essays for how similar they are?

Paste one essay into the left box and the other into the right box. The tool returns a combined similarity percentage plus a per-algorithm breakdown, and highlights the matching and differing words so you can see exactly where they overlap.

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Keep reading: HTML Cheat Sheet and http headers reference. Doing this in code instead? See the text processing endpoints.

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