Convert JSON to TOON Format Instantly
Reduce LLM token costs by 30-60% with Token-Oriented Object Notation
Input (JSON)
Output (TOON)
Why Use TOON Format?
Reduce Token Costs
Save 30-60% on LLM API costs by using fewer tokens for the same data structure.
Better Readability
Tabular format for arrays makes data easier to read for both humans and AI.
Lossless Conversion
Perfect round-trip conversion between JSON and TOON without any data loss.
Optimized for LLMs
Designed specifically for AI models with explicit structure and minimal syntax.
How TOON Format Works
Nested Objects (YAML-style)
JSON:
{
"user": {
"name": "Alice",
"age": 30
}
}TOON:
user: name: Alice age: 30
Simple Arrays
JSON:
{
"tags": ["web", "api", "data"]
}TOON:
tags[3]: web,api,data
Uniform Arrays (Tabular)
JSON:
{
"users": [
{"id": 1, "name": "Alice"},
{"id": 2, "name": "Bob"}
]
}TOON:
users[2]{id,name}:
1,Alice
2,BobCalculate Your Potential Savings
See how much you could save by switching to TOON format
Perfect For
ChatGPT & OpenAI APIs
Reduce token costs when sending large datasets to GPT-4, GPT-3.5, and other OpenAI models.
Learn more →RAG Applications
Optimize context windows in Retrieval-Augmented Generation systems with compact data formatting.
Learn more →Prompt Engineering
Fit more examples and context into your prompts without exceeding token limits.
Coming soonClaude Projects
Maximize context utilization in Claude with efficient data representation.
Coming soonData Transfer
Reduce bandwidth and storage costs when transferring data to AI systems.
Coming soonFine-tuning Datasets
Prepare training data in a format that's both human-readable and token-efficient.
Coming soonTOON vs Other Formats
| Feature | TOON | JSON | YAML | CSV |
|---|---|---|---|---|
| Token Efficiency | Excellent | Good | Moderate | Good |
| Nested Objects | ✓ | ✓ | ✓ | ✗ |
| Tabular Arrays | ✓ | ✗ | ✗ | ✓ |
| LLM Optimized | ✓ | Partial | Partial | ✗ |
| Avg. Token Savings | 30-60% | Baseline | -10% | Limited |
Frequently Asked Questions
What is TOON format?
TOON (Token-Oriented Object Notation) is a data format designed specifically for language models. It combines the best features of JSON, YAML, and CSV to create a compact, human-readable format that minimizes token usage while maintaining full data structure support.
How much can I save with TOON?
On average, TOON format reduces token count by 30-60% compared to equivalent JSON structures. For large datasets with uniform arrays, savings can be even higher. The exact savings depend on your data structure – more uniform data typically sees greater reductions.
Is TOON conversion lossless?
Yes! TOON is designed for perfect round-trip conversion. You can convert JSON to TOON and back to JSON without any data loss. All data types, nested structures, and values are preserved exactly.
Which LLMs work best with TOON?
TOON works with all major language models including GPT-4, GPT-3.5, Claude, Gemini, and Llama. The format is designed to be universally readable by any LLM that can understand structured data. Many models actually parse TOON more accurately than JSON due to its tabular representation.
Can I use TOON in production?
Absolutely! TOON is production-ready and already used by companies to reduce their LLM API costs. Our converter is fast, reliable, and handles edge cases properly. We recommend testing with your specific use case first, but TOON is stable and well-suited for production environments.
What Developers Are Saying
"TOON cut our ChatGPT API costs by 45% without changing our application logic. The tabular format is also much easier for the model to parse correctly."
"Finally, a format that's optimized for LLMs! We're using TOON for all our RAG applications now. The token savings are real and significant."
"The converter works flawlessly. We process thousands of conversions daily with zero issues. Highly recommend for anyone working with LLMs at scale."
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Start converting your JSON to TOON format today and see immediate token savings.
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