AI DEVELOPMENT WORKSPACE

Token Count Estimator

Get a clearly labeled text heuristic, without a model tokenizer.

Heuristic estimate only. No model tokenizer, chat overhead or context-fit guarantee. Tokenization differs by model.

Input is processed on this site only when you run the tool. The application does not save inputs or results.

WORKBENCH token-estimator Server

input.txt

Ln 1, Col 1UTF-8 bytes1 line

Result result.json

A little clarity goes here.

Run the tool to see your result.

Awaiting a resultJSON
Ctrl ↵

Ready. Run explicitly; typing and pasting do not send requests.

UTF-8 text, at most 65536 bytes per input. Tab leaves the editor. Plain text disables syntax colors. Browser textareas may normalize line endings to LF.

A QUICK WALKTHROUGH

A familiar workflow,
with room to focus.

When to use Token Count Estimator

Get a rough text-size planning hint before checking the exact tokenizer of your intended model.

Read the result

estimatedTokens is ceil(Unicode code points / 4), not a tokenization result. Languages, code, emoji and model conventions can differ substantially; never use this figure as a billing or context-fit guarantee.

SEE IT IN PRACTICE

Worked examples

Sample input. A result you can inspect.

Estimate example

Input

A small fictional prompt.

Expected result

{"method":"ceil(unicodeCodePoints / 4)","estimatedTokens":7,"unicodeCodePoints":25,"utf8Bytes":25,"exact":false,"limitations":"Heuristic only. Tokenization differs by model, language and content. No tokenizer, chat overhead, context-fit or billing guarantee."}

Formats, limits and common errors

Treat estimatedTokens as a rough planning hint only; bytes and code points are different measures.

PHP Unicode regular expressions ↗ (opens in a new tab)

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