Text Similarity Checker
Paste two texts and get an instant similarity percentage — overall and broken down by characters, words and lines.
How to check the similarity of two texts
- 1
Paste both texts
Put the first version on the left and the second on the right — sentences, paragraphs, articles or whole documents.
- 2
Click “Check similarity”
You get one overall percentage plus three detailed scores: character, word and line similarity. The score updates live while you edit.
- 3
Interpret the score
100% means identical. Above 90% is a light edit, 70–90% a substantial rewrite of the same text, and below 40% the texts share little content.

Read the full guide: How Text Similarity Is Measured: The Dice Coefficient Explained
A transparent similarity score, not a black box
The score is a Dice coefficient: the tool computes the longest common subsequences between the two texts at character, word and line level, and reports how much of the combined content they share. 100% means the texts are identical; 0% means they have nothing in common. The headline number is the character-level score — the most sensitive of the three.
The three levels answer different questions. Character similarity notices tiny edits (a fixed typo barely moves it). Word similarity tracks rephrasing — swapped, added or removed words. Line similarity tells you how much of the document structure survived, which is useful for code, CSV data and configuration files.
Typical uses: measuring how much a rewrite actually changed, detecting near-duplicate pages or product descriptions, comparing a translation revision against the previous version, or checking whether a submitted text is a light paraphrase of a known source. Note this compares the two texts you provide — it does not search the web like a plagiarism scanner.
Use the options to make the score fairer: “Ignore whitespace” discounts formatting-only changes, and “Ignore case” treats capitalization changes as identical. As with every tool on this site, the computation runs entirely in your browser.
FAQ
Text similarity — frequently asked questions
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