Compare two texts and calculate similarity percentage
A text similarity checker compares two pieces of text and gives a percentage showing how alike they are, using the Levenshtein distance — a measure of how many single-character edits (insertions, deletions or substitutions) it takes to turn one string into the other. The fewer edits needed, the more similar the texts, and the tool converts that edit count into an easy-to-read similarity score. It answers questions like "how close are these two versions?" with a number rather than a vague impression.
This is useful wherever near-matches matter: spotting near-duplicate entries in a list, measuring how much a draft changed between revisions, fuzzy-matching names or product titles that are spelled slightly differently, or checking how close a piece of text is to another. Unlike an exact comparison that only says "same or different", Levenshtein distance grades the degree of difference, which is what makes a percentage meaningful. This tool computes the comparison in your browser, so neither text is uploaded.
It is the minimum number of single-character edits — insertions, deletions or substitutions — needed to turn one string into another. "cat" to "cot" is a distance of 1 (one substitution). A smaller distance means more similar text; the tool turns this count into a percentage.
The edit distance is compared to the length of the text, so the count of changes is scaled into a 0–100% similarity score. Two identical texts score 100%, and the percentage falls as more edits are needed, giving an intuitive measure rather than a raw edit count.
Just characters. Levenshtein measures surface-level edit distance, so "big" and "large" score as very different despite meaning the same. It is ideal for catching typos and near-duplicates, but it does not capture semantic similarity the way a meaning-based comparison would.
By default character comparisons treat upper- and lowercase as different, so "Cat" and "cat" register a small difference. Many checkers let you normalise case first if you want to ignore it, which is useful when capitalisation should not count as a real difference.
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