String Shannon Entropy Calculator
String Shannon Entropy Calculator: Calculates character frequency probabilities p(i) and evaluates Shannon entropy formula H = -Σ p(i) log2 p(i).
About this string shannon entropy calculator
Calculates character frequency probabilities p(i) and evaluates Shannon entropy formula H = -Σ p(i) log2 p(i) Transforms and validates developer data structures locally, preventing confidential payload exposure during data wrangling.
Syntax parsing & data transformation logic
Counts Unicode code points and their frequencies, computes empirical Shannon entropy per character, multiplies by length, and returns length, unique count and entropy values as JSON.
Worked conversion & output example
Scenario: Use the local tool with a concrete sample.
Sample input:
Processing: For two A and two B characters, each probability is 1/2; H = -Σ p(i) log2 p(i) = 1 bit per character. This statistic does not classify a secret or estimate guess resistance.
Illustrative output:
Syntax constraints & input size limits
This is empirical text-symbol entropy, not password strength or unpredictable randomness. Repeated or short samples bias the estimate, and the result does not model an attacker or generator.
Data conversions and formatting in String Shannon Entropy Calculator reflect standard structured syntax. Verify parsed outputs against your target runtime before deployment.
Local client execution boundary
Data parsing and transformations in String Shannon Entropy Calculator execute in the local browser tab without remote data transmission.
Data format specifications & language standards
Data interchange formats and language grammar specifications:
- Standard Browser Web API / Algorithm Implementation (No single external RFC/ISO standard)
String Shannon Entropy Calculator verification · Audit standards
How to use it
- Enter text to measure character-frequency entropy.
- Count Unicode code points, form empirical character frequencies and compute Shannon bits per character.
- Read length, unique characters, bits per character and estimated total bits as JSON.
Frequently asked questions
How does String Entropy Calculator count text?+
It iterates Unicode code points with the spread operator, counts each distinct character, then calculates Shannon entropy from each observed frequency divided by the total character count.
Can you show an input and its result?+
For aab, the page reports length 3, unique 2, entropyBitsPerCharacter 0.9183, and totalEntropyBits 2.7549. Both numeric values are rounded to four decimal places.
Which entropy interpretation is outside this calculator?+
It does not estimate password cracking cost, recognize language, classify secrets, model character alphabets, or compare an input against breach data. It only measures the supplied character distribution.
What input boundary does the entropy result use?+
The length and frequencies use JavaScript iterable characters rather than UTF-16 indexing. An empty input returns zeros, while repeated and visually similar Unicode characters remain distinct according to the runtime iteration.