JSON to TOON Converter
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Convert JSON to TOON format – the AI-native data format that reduces token usage by 30-60%.
30-60% Token Reduction
Same data, fewer tokens, lower AI costs
Key Features
AI-Optimized Format
TOON is designed specifically for LLMs like ChatGPT and Claude. It reduces token count while maintaining perfect data fidelity.
Tabular Arrays
Arrays of objects are converted to a compact tabular format with headers declared once, similar to CSV but with explicit structure.
Bidirectional Conversion
Convert JSON to TOON and TOON back to JSON losslessly. Your data structure is preserved exactly.
100% Client-Side
All conversion happens in your browser. Your data never leaves your device, ensuring complete privacy and security.
Why TOON is Better Than JSON for AI
Token Economy
LLMs charge per token. JSON wastes tokens on repetitive syntax:
{"name": "John"} = 7 tokensname: John = 3 tokensBetter LLM Parsing
TOON's explicit structure helps AI understand data better:
- Explicit array length declarations
- Clear field headers
- Reduced ambiguity in nested structures
| Aspect | JSON | TOON |
|---|---|---|
| Token Count | 100% (baseline) | 40-70% |
| API Costs | Higher | 30-60% savings |
| Human Readability | Good | Excellent (YAML-like) |
| LLM Parse Accuracy | Variable | Improved |
| Use Case | Web APIs, Config | AI/LLM Applications |
TOON and AI: The Perfect Match
TOON (Token-Oriented Object Notation) was created specifically to address the challenges of using structured data with Large Language Models. Here's why it matters:
Lower API Costs
Every token costs money. TOON reduces your ChatGPT and Claude API bills by 30-60% on data-heavy prompts.
Better Accuracy
TOON's explicit structure (array lengths, field headers) reduces parsing errors and improves model responses.
Lossless Conversion
TOON preserves the complete JSON data model. Convert back and forth without losing any information.
When to use TOON: Use TOON whenever you're sending structured data to AI models – whether it's user profiles, product catalogs, or any tabular data. The token savings compound quickly with larger datasets and frequent API calls.
