
For over two decades, JSON has been the backbone of web APIs, mobile apps, and server-client communication. Its simplicity, readability, and universality made it the go-to format for developers worldwide. But as artificial intelligence reshapes technology, a new contender has emerged: TOON (Token-Oriented Object Notation). TOON is specifically designed for AI systems, promising efficiency and cost savings in token-heavy environments like LLMs.
JSON stands for JavaScript Object Notation. Human-readable and easy to debug. Widely supported across programming languages.
Perfect for APIs and web applications.
Limitations:
Verbose syntax with braces, quotes, and repeated keys.
Token-heavy, which increases costs when interacting with LLMs.
Example JSON snippet:
{
"user": "Alice",
"age": 25,
"location": "New York"
}
TOON stands for Token-Oriented Object Notation. Built for AI-native communication, TOON reduces token usage while preserving structure. Strips down JSON’s syntax.
Uses indentation and shorthand to cut token count by 30–60%.
Optimized for machine-to-machine communication.
Limitations:
Less human-friendly compared to JSON.
Still new, with limited adoption outside AI-focused projects.
Example TOON snippet:
user: Alice
age: 25
location: New York
| Feature | JSON | TOON |
| Readability | Human-friendly, widely understood | Machine-friendly, concise |
| Token Efficiency | Verbose, higher token usage | 30–60% fewer tokens |
| Adoption | Universal across web & APIs | Emerging, AI-focused |
| Best Use Case | Web apps, APIs, client-server data | AI/LLM communication, token-sensitive apps |
Cost Savings: Fewer tokens mean lower expenses when running LLM-powered apps.
Performance Boost: Reduced verbosity speeds up parsing and processing.
AI-Native Design: Unlike JSON, TOON is built with AI-first principles, making it ideal for the next generation of intelligent systems.
JSON isn’t going anywhere—it remains the universal language of web data. But in the AI era, TOON is carving out a niche by offering token-efficient, machine-optimized communication. Developers working with LLMs should keep a close eye on TOON, as it may become the new standard for AI-native data formats.