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Text entropy (bits)

Lower entropy means more repetition—per UTF-8 byte distribution.

Client
2.845 bits per byte

Nearby workflows on Toolcore

  • Shannon entropyBits of entropy per symbol for pasted text—password/passphrase analysis. for the next text or markup step in your edit loop.
  • Character frequencyCount how often each character appears—sorted table with Unicode code points; local only. for the next text or markup step in your edit loop.
  • Letter frequency tableCount a–z letter frequencies as percentages—cryptanalysis starter. for the next text or markup step in your edit loop.
  • Word frequency listList word counts sorted by frequency—paste text for a local corpus snapshot. for the next text or markup step in your edit loop.

Common use cases

  • Text entropy (bits) for quick local checks without uploading data.
  • Copy results into tickets, docs, or classroom notes.

Common mistakes to avoid

  • Unexpected input shape

    See the intro and how-to notes for accepted formats.

FAQ

Is processing local?

Yes—this runs entirely in your browser.

Agent prefill?

Use q or qb for the main text field when supported.

Related utilities you can open in another tab—mostly client-side.