diff --git a/Dynamic-Programming/EditDistance.js b/Dynamic-Programming/EditDistance.js
new file mode 100644
index 0000000000..ac554d8b56
--- /dev/null
+++ b/Dynamic-Programming/EditDistance.js
@@ -0,0 +1,61 @@
+/*
+Wikipedia -> https://en.wikipedia.org/wiki/Edit_distance
+
+Q. -> Given two strings `word1` and `word2`. You can perform these operations on any of the string to make both strings similar.
+ - Insert
+ - Remove
+ - Replace
+Find the minimum operation cost required to make both same. Each operation cost is 1.
+
+Algorithm details ->
+time complexity - O(n*m)
+space complexity - O(n*m)
+*/
+
+const minimumEditDistance = (word1, word2) => {
+ const n = word1.length
+ const m = word2.length
+ const dp = new Array(m + 1).fill(0).map(item => [])
+
+ /*
+ fill dp matrix with default values -
+ - first row is filled considering no elements in word2.
+ - first column filled considering no elements in word1.
+ */
+
+ for (let i = 0; i < n + 1; i++) {
+ dp[0][i] = i
+ }
+
+ for (let i = 0; i < m + 1; i++) {
+ dp[i][0] = i
+ }
+
+ /*
+ indexing is 1 based for dp matrix as we defined some known values at first row and first column/
+ */
+
+ for (let i = 1; i < m + 1; i++) {
+ for (let j = 1; j < n + 1; j++) {
+ const letter1 = word1[j - 1]
+ const letter2 = word2[i - 1]
+
+ if (letter1 === letter2) {
+ dp[i][j] = dp[i - 1][j - 1]
+ } else {
+ dp[i][j] = Math.min(dp[i - 1][j], dp[i - 1][j - 1], dp[i][j - 1]) + 1
+ }
+ }
+ }
+
+ return dp[m][n]
+}
+
+const main = () => {
+ console.log(minimumEditDistance('horse', 'ros'))
+ console.log(minimumEditDistance('cat', 'cut'))
+ console.log(minimumEditDistance('', 'abc'))
+ console.log(minimumEditDistance('google', 'glgool'))
+}
+
+main()
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