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JSON to TOON Converter

Convert JSON to TOON to use fewer tokens in LLM prompts and API payloads.

Import File

Maximum file size: 5.00 MB | Accepted format: .json
Delimiter:
Switch to TOON → JSON

Convert JSON to TOON (Token-Oriented Object Notation), a compact data format designed to reduce token usage in Large Language Models (LLMs) by up to 50%. TOON maintains data structure while using fewer tokens than JSON, making it ideal for AI applications, prompt engineering, and reducing API costs when working with LLMs.

What is JSON to TOON Converter?

TOON (Token-Oriented Object Notation) is a data serialization format optimized for LLM token efficiency. It uses a more compact syntax than JSON while preserving the same data structure and meaning. TOON eliminates unnecessary characters like quotes around keys, uses shorter delimiters, and employs token-efficient representations, resulting in significant token savings when used in AI prompts and API calls.

Common Use Cases

  • LLM prompt optimization - reduce token usage in AI prompts by up to 50%
  • API cost reduction - lower token costs when sending data to LLM APIs
  • Prompt engineering - use TOON for more efficient data representation in prompts
  • AI application development - optimize data formats for LLM interactions
  • Token budget management - stay within token limits for LLM requests
  • Data serialization - use TOON as an alternative to JSON for LLM contexts
  • Cost optimization - reduce expenses when working with token-based AI services

How It Works

The JSON to TOON converter analyzes JSON structure and transforms it into TOON format. It removes unnecessary quotes around keys, uses shorter delimiters (colons and commas are more token-efficient), eliminates redundant whitespace, and employs compact representations for common patterns. The conversion maintains data integrity while significantly reducing the character count, which directly translates to fewer tokens in LLM processing.

Examples

JSON to TOON conversion

Input:
{"name":"John","age":30,"city":"New York"}
Output:
name:John,age:30,city:New York

Nested structure

Input:
{"user":{"name":"John","settings":{"theme":"dark"}}}
Output:
user:{name:John,settings:{theme:dark}}

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