AI

Token Boundary Visualizer

See how a prompt is tokenized with color-coded token boundaries.

All tools

This is an approximation showing typical BPE-style token boundaries. Counts will differ slightly from official tokenizers.

Text

Approx 28 tokens · 99 chars

The quick brown fox jumps over the lazy dog. Tokenization is approximate real tokenizers use BPE.

Frequently asked questions

Why does visualizing token boundaries matter?
Seeing where tokens split reveals waste - leading spaces, unusual capitalization, or rare unicode can balloon counts. It also explains why some prompt edits change cost or behavior unexpectedly.
Why does " hello" tokenize differently from "hello"?
BPE tokenizers treat the leading space as part of the token, so " hello" and "hello" are typically two different token IDs. This is why mid-sentence words are cheaper than line-start words.
Will the visualization match the provider's tokenizer exactly?
It approximates the target family's tokenizer but may diverge on rare scripts, emoji sequences, or recent vocabulary updates. Treat boundaries as indicative, not authoritative.