Levenshtein Distance API

POST https://api.findutils.com/api/tools/levenshtein-distance/execute

Compute the Levenshtein edit distance between two strings (minimum single-character insertions, deletions, or substitutions to transform A into B). Also returns a normalised similarity in [0, 1].

Try it

Request body

application/json

a

string required

First string.
b

string required

Second string.

Example arguments

Verified

{
  "a": "kitten",
  "b": "sitting"
}

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curl -X POST https://api.findutils.com/api/tools/levenshtein-distance/execute \
  -H "Content-Type: application/json" \
  -d '{
    "a": "kitten",
    "b": "sitting"
  }'

const response = await fetch('https://api.findutils.com/api/tools/levenshtein-distance/execute', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({"a":"kitten","b":"sitting"}),
});
const data = await response.json();

import requests

response = requests.post(
    "https://api.findutils.com/api/tools/levenshtein-distance/execute",
    json={"a":"kitten","b":"sitting"},
)
data = response.json()

$ch = curl_init('https://api.findutils.com/api/tools/levenshtein-distance/execute');
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => ['Content-Type: application/json'],
    CURLOPT_POSTFIELDS => '{"a":"kitten","b":"sitting"}',
    CURLOPT_RETURNTRANSFER => true,
]);
$data = json_decode(curl_exec($ch), true);

Also an MCP tool

Call levenshtein_distance from Claude, Cursor or any MCP client. Same arguments, same output.

https://mcp.findutils.com

MCP reference

Rate limit: 60 a minute, per IP
Auth: None
REST id: levenshtein-distance
MCP name: levenshtein_distance
Category: Text
Machine-readable: openapi.json · markdown.md

Request body

Example arguments

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