Entropy Calculator
Measure the randomness and unpredictability of text, passwords, and cryptographic keys
📊 Entropy Analysis
⚖️ Entropy Comparison
📚 Understanding Entropy
Shannon Entropy: Measures the average information content per character. Higher values indicate more randomness.
Formula: H = -Σ(p(x) × log₂(p(x)))
Where p(x) is the probability of character x
Entropy Ranges:
• 0-2 bits: Very low (repetitive text)
• 2-4 bits: Low (natural language)
• 4-6 bits: Medium (mixed content)
• 6-8 bits: High (random-like)
• 8+ bits: Maximum (truly random)
🎯 Practical Applications
Cryptography: Measuring key randomness and strength
Password Security: Evaluating password complexity
Data Compression: Estimating compression potential
Random Number Testing: Validating RNG quality
Information Theory: Quantifying information content