cd ../tools
$ Entropy Analyzer
Calculate Shannon entropy and analyze the randomness of text data. Useful for evaluating passwords, encryption keys, and compressed data.
100% Client-Side - Your data never leaves your browser
entropy_input.sh
$ entropy_results
Shannon Entropy
bits/char
Total Entropy
bits
Length
characters
Unique Chars
characters
Randomness Level
$ character_frequency
$ cat entropy_info.md
What is Entropy?
Shannon entropy measures the average amount of information (in bits) per character. Higher entropy indicates more randomness and unpredictability.
Entropy Scale (bits/char)
- 0 - 2: Very low (repetitive/predictable)
- 2 - 4: Low to moderate
- 4 - 6: Good randomness
- 6 - 8: High randomness (encrypted/random data)
Use Cases
- • Password strength analysis
- • Detecting encryption or compression
- • Evaluating random number generators
- • Malware analysis (packed/encrypted code)
Note
High entropy alone doesn't guarantee security. A truly random 8-character password has high entropy per character but may still be brute-forceable. Consider total entropy (length × entropy per char).