TOON ↔ JSON Converter

Convert between Token-Oriented Object Notation and JSON

TOON (Token-Oriented Object Notation) is a compact format designed for LLMs that reduces token usage by up to 60%. This tool converts between TOON's efficient row-based syntax and standard JSON, helping you save API costs and improve prompt efficiency.

JSON Tokens
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TOON Tokens
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Saved
0.0%

TOON Input

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JSON Output

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Understanding TOON Format

TOON (Token-Oriented Object Notation) represents a breakthrough in data serialization for the AI era. While traditional formats like JSON and XML were built for general computing, TOON is laser-focused on token efficiency—crucial when every token affects cost and performance in LLM applications.

By reimagining how we structure data for AI consumption, TOON achieves remarkable compression without sacrificing readability. It combines the best aspects of CSV's compactness with YAML's flexibility, creating a format that both humans and AI models can easily understand.

Traditional JSON

[
  {
    "id": 1,
    "name": "Alice",
    "role": "admin"
  },
  {
    "id": 2,
    "name": "Bob",
    "role": "user"
  }
]

~59 tokens • Verbose

Optimized TOON

users[2]{id,name,role}:
1,Alice,admin
2,Bob,user

~24 tokens • 59% savings! ✨

Why Choose TOON?

Maximum Token Efficiency

Cut token consumption by up to 50% versus JSON, lowering API costs and maximizing context window utilization.

Intelligent Table Format

Represents uniform object arrays using CSV-style rows with single-declaration headers, perfect for database records.

Self-Explanatory Structure

Built-in length indicators [N] and field headers {field1,field2} make data organization instantly clear.

AI-Native Design

LLMs parse and generate TOON naturally without training, treating it like familiar YAML or CSV formats.

Flexible Nesting

Handles complex hierarchies with YAML-inspired indentation while maintaining exceptional readability.

Production Ready

Battle-tested format that remains human-readable for debugging while optimized for machine processing.

Perfect For AI Applications

LLM Prompts & Responses

Minimize token usage when sending structured data to AI models, fitting more information within context limits.

AI-Powered APIs

Return database queries and tabular data in a format that reduces processing costs for AI consumers.

RAG Systems

Store and retrieve structured information efficiently in Retrieval-Augmented Generation pipelines.

Configuration Files

Define AI system parameters and settings using a compact, token-conscious format.

Start Saving Tokens Today

Transform your JSON data into token-efficient TOON format instantly. See real-time token savings and optimize your LLM applications for better performance and lower costs.

💡 Pro Tip: TOON shines brightest with uniform tabular data—the more consistent your structure, the greater your savings!

Frequently Asked Questions