Hamming Distance Calculator

Calculate the Hamming distance between two strings, visualize differences, and analyze sequence similarity for binary data, DNA sequences, and text.

Sequence Input

Length: 0

Length: 0

Quick Examples:

Sequence Comparison

Enter sequences to see comparison
Enter sequences to see comparison
Differences will be highlighted here

Distance Visualization

About Hamming Distance

What is Hamming Distance?

The Hamming distance between two strings of equal length is the number of positions at which the corresponding symbols are different. It measures the minimum number of substitutions required to change one string into another, or the minimum number of errors that could have transformed one string into the other.

Applications

Error Detection

Used in telecommunications and data storage to detect and correct transmission errors.

Bioinformatics

Comparing DNA sequences, protein sequences, and measuring genetic similarity.

Cryptography

Analyzing cipher strength and measuring randomness in cryptographic systems.

Machine Learning

Feature comparison, similarity metrics, and clustering algorithms.

Quality Control

Comparing expected vs actual outputs in manufacturing and testing.

Image Processing

Comparing binary images and measuring pixel-level differences.

Key Properties

  • Symmetry: d(x,y) = d(y,x)
  • Non-negativity: d(x,y) ≥ 0
  • Identity: d(x,x) = 0
  • Triangle Inequality: d(x,z) ≤ d(x,y) + d(y,z)
  • Range: 0 ≤ d(x,y) ≤ length of strings

How to Use This Calculator

  1. Select the appropriate data type for your sequences
  2. Enter two sequences of equal length
  3. Click "Calculate Hamming Distance" to analyze
  4. Review the visual comparison and detailed breakdown
  5. Examine position-by-position analysis
  6. Export results for documentation or further analysis

Example Calculations

Binary Example:
Sequence 1: 1011101
Sequence 2: 1001001
Hamming Distance: 2 (positions 3 and 5 differ)
DNA Example:
Sequence 1: ATCGATCG
Sequence 2: ATGGATGG
Hamming Distance: 3 (positions 3, 6, and 8 differ)
Text Example:
Sequence 1: "karolin"
Sequence 2: "kathrin"
Hamming Distance: 3 (positions 2, 5, and 6 differ)

Related Concepts

  • Edit Distance (Levenshtein): Allows insertions and deletions, not just substitutions
  • Jaccard Distance: Measures dissimilarity between sets
  • Cosine Distance: Measures angle between vectors in high-dimensional space
  • Manhattan Distance: Sum of absolute differences between coordinates
  • Euclidean Distance: Straight-line distance in multidimensional space