Text Shannon Entropy Analyzer
Inspect empirical token frequencies and zero-order Shannon entropy for graphemes, words or UTF-8 bytes.
Ready. Explore the example or use the input controls to begin.
Scope and practical limits
Up to 20,000 input UTF-16 units. Empirical frequency model only; not password strength, cryptographic entropy or a compression guarantee. Word segmentation depends on browser language data.
The tool processes your work in the browser. The website’s advertising and analytics follow its privacy and consent settings. Projects are not saved automatically. Media workspaces export their files directly rather than storing them in project JSON.
Using Text Shannon Entropy Analyzer
Inspect empirical token frequencies and zero-order Shannon entropy for graphemes, words or UTF-8 bytes.
- Load the example or enter text. Choose segmentation and transformation rules explicitly.
- Inspect output and original-position or frequency audits. Review any formatting changes or limitations.
- Copy or download text and audit data; save a project to retain editable input and settings.
Example
Equal frequencies of a and b give one bit per token; one repeated symbol gives zero.
Questions & answers
Which limits and conventions apply?
Up to 20,000 input UTF-16 units. Empirical frequency model only; not password strength, cryptographic entropy or a compression guarantee. Word segmentation depends on browser language data.
Can the output differ between browsers?
Language segmentation and grapheme boundaries use the browser Intl.Segmenter implementation. Use the same browser/version when you need reproducible segmentation. Visual glyph width depends on fonts.
Is my work saved automatically?
No. Save a project or download your result before leaving. Processing is local; site ads and analytics follow the website consent and privacy settings.
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