Approximate String Matching is a technique used in computer science to find strings that are similar but not identical. This is particularly useful in applications like spell checking, DNA sequencing, and searching for information in large databases. The goal is to identify matches that may have minor differences, such as typos or variations in spelling. Algorithms for Approximate String Matching, such as the Levenshtein distance or Hamming distance, measure how many edits (insertions, deletions, or substitutions) are needed to transform one string into another. These methods help improve search accuracy and enhance user experience in various software applications.