Trie

This figure demonstrates how a Trie (prefix tree) stores words by shared character prefixes instead of full string repetition. Users may load different lexical domains (simple words, VIN strings, genetics terms, emotional vocabulary), insert them into the trie, and observe how branching compresses memory usage by merging common prefixes. Beneath the visualization, the interface displays both the raw string memory cost and the trie’s node-based memory footprint, revealing how the trie grows more efficient as shared prefixes increase.