Enter or edit JSON data on the left, and the converted TOON format result will be automatically displayed on the right.
Our JSON TOON converter provides powerful bidirectional conversion functionality, allowing you to easily convert between JSON and TOON formats. Supports multiple delimiter options (comma, Tab, pipe), customizable indentation, length marker display, and real-time Token statistics and savings percentage, so you can clearly see the conversion results. All conversions happen locally in your browser, protecting your data privacy.
Token Efficient TOON Format
Save 30-60% on LLM tokens with TOON format compared to JSON while maintaining readability. Perfect for JSON to TOON conversion, especially for use in LLM prompts.
Privacy First Converter
All JSON to TOON conversions happen locally in your browser. Your data never leaves your device with our secure JSON TOON converter.
Blazing Fast TOON Conversion
Instant JSON to TOON conversion with real-time TOON format output as you type. No server delays with our fast converter.
{
"array": [
1,
2,
3
],
"boolean": true,
"color": "gold",
"null": null,
"number": 123,
"object": {
"a": "b",
"c": "d"
},
"string": "Hello World"
}載入中...
What is TOON format?
TOON (Token-Oriented Object Notation) is a data serialization format designed specifically for LLM prompts. It reduces token usage by 30-60% compared to JSON while maintaining readability and structure. The TOON format uses a tabular format for arrays and minimal TOON syntax for objects, making JSON to TOON conversion highly efficient.
How much can I save with TOON?
TOON typically saves 30-60% on LLM tokens compared to JSON. For large datasets or API responses, this can translate to significant cost savings when using APIs like GPT-4 or Claude. The exact savings depend on your data structure.
Is TOON compatible with all LLMs?
Yes, TOON works with all major LLMs including GPT-4, Claude, Gemini, and LLaMA. Since TOON is a text format, any LLM can read and understand it. Most modern LLMs can parse TOON format with simple instructions in your prompt.