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Reduce LLM Costs by 40%
Strategies for enterprise cost reduction...
Read Article →Reduce your API costs and optimize context window usage with our advanced data converter.
Support for JSON, XML, YAML, CSV to TOON conversion
Real-time calculation of token savings across major LLMs
Export results in Excel, CSV, JSON, or text formats
All conversions happen client-side, no data stored on servers
No registration required, unlimited conversions
One-click copy functionality for quick usage
| LLM Model | Price / 1M | Original Cost | TOON Cost | Savings (₹) | Savings % |
|---|
* Savings % reflects the reduction in token count. Since all models charge per token, the percentage saved is consistent across all pricing tiers.
TOON (Token-Optimized Object Notation) is a data format designed specifically to reduce token usage in Large Language Models while maintaining human readability and data structure.
Savings typically range from 30% to 50% depending on the structure of your data. Highly repetitive JSON structures often see the highest savings.
TOON is a data format that can be used as input for any LLM, including GPT-4, Claude, Gemini, and Llama. It's optimized to be understood by these models with fewer tokens.
Yes, absolutely. All conversions happen client-side in your browser. Your data is never sent to our servers or any third party.
Yes, since the processing is local, file size limits depend mainly on your browser's memory. Files up to 50MB usually process without issues.
Yes, TOON is most effective with arrays of objects, reducing repetitive keys by converting them into a schema-optimized header format.
No, TOON is a distinct format. You must convert it back to JSON if you need to use it in systems that strictly require valid JSON.
We are working on an API and SDK. For now, you can implement the TOON serialization logic in your middleware before sending data to LLMs.