Overview
Text Similarity Calculator uses the Levenshtein algorithm to quantify character-level difference between two texts, helping you judge whether content is close or duplicated.
Core Features
- Calculates similarity percentage, edit distance, max length, and operation count in real time.
- Supports Chinese, English, and mixed text comparison with instant updates.
- Shows visual similarity level through a progress bar.
- Fits dedup checks, revision reviews, and data-quality workflows.
Use Cases
- Detect duplicate or near-duplicate paragraphs in content workflows.
- Run initial plagiarism similarity checks for drafts and reports.
- Compare revision differences across product documentation versions.
- Identify near-matching records during data-cleaning tasks.
How to Use
- Paste two texts into the left and right input boxes.
- Review live similarity, edit distance, and operation count.
- Use the progress bar to quickly gauge closeness.
- Decide whether to deduplicate, revise, or manually review.
How It Works
Edit Distance (Levenshtein)
The minimum number of single-character edits (insertions, deletions, substitutions) to transform one text into another.
Similarity Formula
Similarity = (1 - Edit Distance / Max Length) x 100%
Use Cases
Deduplication, plagiarism precheck, version comparison, fuzzy matching, and data cleanup.
FAQ
What does a larger edit distance mean?
It means the texts are more different and require more character edits to match.
What is similarity for two empty texts?
It is treated as 100%, because there is no difference between them.
Is my data uploaded to a server?
No. All calculations run locally in your browser.