Text Similarity Checker | Compare Strings & Calculate Levenshtein Distance
Calculate the similarity between two text inputs using algorithms like Levenshtein distance.
How to Use This Tool
- 1
Paste the original text into the first box.
- 2
Paste the comparison text into the second box.
- 3
Click 'Compare Texts' to see the similarity score.
- 4
Review the detailed metrics to understand the differences.
Use Cases & Examples
Plagiarism Detection
Check if rewording or paraphrasing is too close to the original source.
Code & Data Deduplication
Identify duplicate database entries or similar code snippets.
Translation Quality Check
Compare machine translation output with a reference translation.
Similarity Algorithms Explained
Levenshtein Distance: The minimum number of single-character edits (insertions, deletions, or substitutions) required to change one word into the other.
Jaccard Similarity: Measures similarity between finite sample sets, defined as the size of the intersection divided by the size of the union of the sample sets.
The tool combines these metrics to give a comprehensive similarity score.
Frequently Asked Questions
Q.What is Levenshtein Distance?
A. It is a metric for measuring the difference between two sequences. Informally, it's the minimum number of single-character edits required to change one word into the other.
Q.Is this case-sensitive?
A. Yes, by default 'Apple' and 'apple' are considered different. You can manually normalize text if needed before comparison.
Q.Is there a limit to text length?
A. Since it runs in your browser, the limit depends on your device's memory. For very large texts (MBs), it might be slower.
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