📊 Text Analysis Tool
Professional text statistics, frequency analysis, and readability scoring for cryptanalysis and linguistics
Repeated Sequences (3+ characters)
Text frequency analysis is essential for cryptanalysis, particularly for breaking substitution ciphers like Caesar cipher, Vigenère cipher, and other classical encryption methods. By analyzing letter frequency patterns and comparing them to known language statistics, cryptanalysts can identify probable plaintext letters and break encrypted messages. It's also used in linguistics, natural language processing, and content analysis.
Readability scores measure how easy text is to understand. The Flesch Reading Ease score ranges from 0-100, with higher scores indicating easier text. The Flesch-Kincaid Grade Level indicates the U.S. school grade needed to understand the text. These scores analyze factors like sentence length, word length, and syllable count to determine complexity.
In English text, the most frequent letters are: E (12.7%), T (9.1%), A (8.2%), O (7.5%), I (7.0%), N (6.7%), S (6.3%), H (6.1%), R (6.0%). The least common are: Q, J, X, Z. This frequency distribution is crucial for breaking substitution ciphers through frequency analysis.
Repeated patterns in ciphertext often indicate repeated words or phrases in the original plaintext. For example, in a Vigenère cipher, if you find the same sequence appearing multiple times at regular intervals, the distance between repetitions can reveal the key length. Pattern analysis is fundamental to cryptanalysis of polyalphabetic and transposition ciphers.
Yes, this text analysis tool works with any language using the Latin alphabet. However, readability scores are calibrated for English text. For accurate cryptanalysis of other languages, you should compare letter frequencies against the known frequency distribution of that specific language (e.g., French, Spanish, German).
Character count includes all characters: letters, numbers, punctuation, spaces, and special symbols. Letter count only includes alphabetic characters (A-Z, a-z). For cryptanalysis, letter count is more important because most classical ciphers only encrypt letters, leaving other characters unchanged.