TOON (Tree Object Notation) is a minimalist data format that uses indentation instead of punctuation to define structure, making it token-efficient for LLMs.

Will LLMs understand it?

Yes! Modern LLMs (GPT-4, Claude 3, Llama 3) are highly capable of understanding indented structures (like Python/YAML) and often perform better with less syntactic noise.

How much does it save?

Savings typically range from 30% to over 50%, depending on the density of keys and syntax in your original JSON. Arrays of objects see the highest reduction.

JSON to TOON Converter

JSON to TOON Converter Overview

Optimize JSON for LLMs (30-60% Token Reduction)

The JSON to TOON (Tree Object Notation) Converter is a specialized prompt engineering tool designed to reduce token usage when passing structured data to Large Language Models (LLMs) like GPT-4, Claude, and Gemini. By stripping away redundant JSON syntax—such as quotes (""), commas (,), and brackets ({})—while preserving the hierarchical structure, TOON formatting can reduce token count by 30-60%. This allows developers and prompt engineers to fit significantly more context into limited windows, save on API costs, and improve model focus on the actual data content.

How to Use JSON to TOON Converter

Paste your standard JSON object or array into the input
Click "Convert to TOON" to optimize the format
Check the "Token Savings" panel to see the reduction
Copy the TOON output and paste it into your LLM prompt

Frequently Asked Questions

What is TOON?: TOON (Tree Object Notation) is a minimalist data format that uses indentation instead of punctuation to define structure, making it token-efficient for LLMs.
Will LLMs understand it?: Yes! Modern LLMs (GPT-4, Claude 3, Llama 3) are highly capable of understanding indented structures (like Python/YAML) and often perform better with less syntactic noise.
How much does it save?: Savings typically range from 30% to over 50%, depending on the density of keys and syntax in your original JSON. Arrays of objects see the highest reduction.

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