String Similarity Checker
Measure how similar two strings are, and see the edit distance between them.
How close are two pieces of text
This measures the similarity between two strings — how alike they are — often expressed as an edit distance, the number of single-character changes needed to turn one into the other. It is the machinery behind fuzzy matching, spell-checking suggestions, deduplicating near-identical entries, and spotting typos, and it lets you quantify a closeness that is otherwise just a hunch.
Enter two strings and see their similarity and edit distance.
Where fuzzy matching earns its keep
Exact matching fails constantly in real data, where the same thing is written slightly differently — a misspelled name, extra whitespace, a swapped letter. Similarity scoring is how you catch those: two entries that are ninety-five percent alike are almost certainly the same record with a typo. It is invaluable for cleaning data, matching user input against a list forgivingly, or suggesting a correction. Seeing the actual score turns fuzzy into something you can set a threshold on and act upon.
Common questions
What is edit distance?
The number of single-character insertions, deletions or substitutions needed to turn one string into the other — a measure of how different they are.
What is string similarity used for?
Fuzzy matching, spell-check suggestions, deduplicating near-identical records, and catching typos in data.
Is my text uploaded?
No. The comparison happens in your browser.