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Huffman Coding Compression Ratio & Entropy Calculator

Estimate Shannon entropy and Huffman compression ratio for a symbol set versus fixed-length encoding.

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Technology & Computing

Compression ratio

1.2

Fixed-length encoding size

3,750 bytes

Huffman-coded estimated size

3,125 bytes

Space saving

16.6667%

Huffman coding approaches the entropy limit for symbol-by-symbol coding; actual results depend on how closely code lengths match true probabilities.

Formula and working

Entropy (bits/symbol) = −Σ p×log2(p); Fixed-length bits = ceil(log2(symbol count)); Compression ratio = fixed bits ÷ entropy

  1. 1

    Collect the inputs

    Number of distinct symbols = 8; Measured/estimated entropy (bits/symbol) = 2.5; Total symbols in the message = 10,000

  2. 2

    Apply the formula

    Entropy (bits/symbol) = −Σ p×log2(p); Fixed-length bits = ceil(log2(symbol count)); Compression ratio = fixed bits ÷ entropy

  3. 3

    Result

    Compression ratio = 1.2

Frequently asked questions

Important limitation

This is an educational estimate based only on the values and formula shown. Verify current rates, rules, units, and professional standards before relying on the result. It is not personalized financial or investment advice.

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