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Counts occurrences of each character in the input text. Results are typically sorted by frequency (descending) or character code. Used in cryptanalysis, linguistics, and text quality assessment.
Frequency = count(char) / total_chars × 100%; Entropy = -Σ p(x) × log2(p(x))Analysis groups characters into: letters (with case distinction), digits, whitespace, punctuation, and special/control characters. Unicode-aware analysis handles multi-byte characters correctly.
Updated: July 2026
Verify that a text sample follows expected English letter frequency (E≈12.7%, T≈9.1%).
→ E: 12.5%, T: 9.2%, A: 8.1% — matches English frequency profile
Find unexpected characters or control bytes that indicate encoding corruption.
→ Flags non-ASCII bytes, replacement characters (U+FFFD), or null bytes
In UTF-8, one character may be 1-4 bytes. Counting bytes gives wrong frequencies for non-ASCII text. Always decode to Unicode characters before counting.
When analyzing letter frequency for cryptanalysis or linguistics, exclude spaces and punctuation from the total. Report letter frequency as percentage of letters only.
Analyze character frequency in any text. Count letter and symbol distribution for cryptography hints, linguistics, and data profiling. Free browser tool. It applies the frequency analysis (Frequency = count(char) / total_chars × 100%; Entropy = -Σ p(x) × log2(p(x))). For example: analyze letter distribution in english text — Verify that a text sample follows expected English letter frequency (E≈12.7%, T≈9.1%).