What is Hamming distance?

Hamming distance is a metric that measures the minimum number of substitutions required to change one string into another, or the number of errors that transformed one string into the other. Named after Richard Hamming, it's particularly useful in information theory, coding theory, and error detection. The key requirement is that both strings must be of equal length.

Tool description

This calculator computes the Hamming distance between two strings of equal length. It counts how many positions have different characters and provides a similarity percentage. The tool is useful for comparing binary data, detecting errors in transmitted data, and analyzing string similarity.

Examples

Example 1: Simple text comparison

  • String 1: hello
  • String 2: hallo
  • Hamming Distance: 1 (only the 'e' vs 'a' differs)

Example 2: Binary strings

  • String 1: 10101010
  • String 2: 11001011
  • Hamming Distance: 3 (positions 2, 5, and 8 differ)

Example 3: DNA sequences

  • String 1: AGCTTAGC
  • String 2: AGCTTGGC
  • Hamming Distance: 1 (position 6 differs: A vs G)

Features

  • Real-time Hamming distance calculation
  • Automatic similarity percentage calculation
  • Error detection for strings of different lengths
  • Support for any character set (text, binary, DNA sequences)
  • Clear visualization of comparison results

Use cases

  • Error detection in data transmission: Verify if transmitted data matches the original by calculating the number of bit errors
  • DNA sequence comparison: Compare genetic sequences to identify mutations or variations between samples
  • Code similarity analysis: Measure similarity between fixed-length codes, identifiers, or hash values
  • Quality control in manufacturing: Compare product serial numbers or barcodes to detect discrepancies
  • Biometric verification: Compare binary representations of fingerprints or other biometric data