A prefix tree growing word by word — shared prefixes stored once, word-ends marked, and every insert costing only the word's length.
Tip: use samples, upload, copy, download, and send-to actions inside the workspace where available.
Trie Visualizer is a free, browser-based tool that helps you tidy up and standardize messy datasets. A prefix tree growing word by word — shared prefixes stored once, word-ends marked, and every insert costing only the word's length. It's built for speed and privacy: Everything runs locally in your browser — your data is never uploaded to a server. No sign-up, no installs, and no daily limits.
Clean obvious quality problems before analysis, imports, dashboards, or automation.
Review the preview, copy or download the result, and keep everything local in your browser.
Binary Search Tree Visualizer: Insert, delete, search, and traverse a BST, AVL tree (animated rotations with balance factors), or min-heap — every comparison narrated, every pointer move animated.
Open toolSegment Tree Visualizer: Build, range-query, and update animated on a real tree — ranges tile into O(log n) blocks and updates touch only the root path.
Open toolBoyer-Moore Visualizer: Right-to-left matching with the bad-character rule animated — watch mismatches teach the pattern how far to jump, skipping text wholesale.
Open tool1 node(s) · shared prefixes stored once
1Trie (prefix tree) for {ababdabacdababcabab}: one node per character, shared prefixes stored once. Green nodes mark word endings.
insert(word):walk existing children per charcreate nodes only where missingmark the final node as a word endlookup cost ignores dictionary size
One node per character, shared prefixes stored once — the structure behind autocomplete, spell-checkers, and IP routing tables.
