Markov Chain Text Generator

Generate random text based on input text patterns using Markov chains

N-gram Order

Higher = more coherent but less creative (1-5)

Output Length (chars)

Input Text (Training Data)

Generated Output

How it works

Markov Chain: A statistical model that predicts the next word based on the previous N words (N-gram).

N-gram = 1: Each word depends only on the previous word. More random.

N-gram = 2: Each word depends on the previous 2 words. Balanced.

N-gram = 3-5: More coherent but requires more input text. May repeat phrases.

Tip: Use larger input texts (500+ words) for better results. The algorithm learns patterns from your text and generates new combinations.