Text entropy (bits)
Lower entropy means more repetition—per UTF-8 byte distribution.
Client2.845 bits per byte
Nearby workflows on Toolcore
- Shannon entropy — Bits of entropy per symbol for pasted text—password/passphrase analysis. for the next text or markup step in your edit loop.
- Character frequency — Count 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 table — Count a–z letter frequencies as percentages—cryptanalysis starter. for the next text or markup step in your edit loop.
- Word frequency list — List 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.
More tools
Related utilities you can open in another tab—mostly client-side.
Shannon entropy
ClientBits of entropy per symbol for pasted text—password/passphrase analysis.
Character frequency
ClientCount how often each character appears—sorted table with Unicode code points; local only.
Letter frequency table
ClientCount a–z letter frequencies as percentages—cryptanalysis starter.
Word frequency list
ClientList word counts sorted by frequency—paste text for a local corpus snapshot.