Letter Frequency Analyzer
Paste any text and see a per-character histogram: count, percentage, and a bar per row. Toggle which character classes to include (letters / digits / whitespace / punctuation / other Unicode). Case-folding optional. When letters are enabled, a side-by-side comparison against the standard English letter distribution (E 12.7%, T 9.1%, A 8.2%…) is shown — handy for classical cryptanalysis, language identification, font coverage planning, or just nerd curiosity.
Paste text above to see the character histogram.
How to use
- Paste your text in the top panel.
- Toggle which character classes you want to count (letters / digits / whitespace / punctuation / other).
- Read the histogram and the English-frequency comparison. Copy CSV for further analysis.
Frequently asked questions
- What does the English comparison reveal?
- Plaintext English follows a very stable letter distribution (E dominates, then T, A, O, I, N, S, H, R). If your text matches, it's likely English plaintext. If a substitution cipher is applied, the bars get scrambled but the SHAPE survives — that's the whole basis of classical cryptanalysis.
- Does it handle Unicode?
- Yes. Characters are split as code points (so emoji and CJK count as one each), and the 'other' bucket captures anything outside letters/digits/whitespace/punctuation. The English comparison only reads ASCII a-z though.
- How are whitespace and control chars shown?
- Space appears as ␠, tab as ⇥, newline as ↵, carriage return as ⏎. Other non-printable code points show as U+XXXX.
- Why is my distribution flat?
- Random text, encrypted ciphertext, base64, and hex all flatten the curve compared to natural language. A flat letter distribution is itself a strong signal that the text isn't English prose.
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