TOON Studio
Convert JSON to TOON (Token-Oriented Object Notation). Reduce prompt token usage by 35% to 50% for ChatGPT, Claude, and LLM context windows.
Why Use TOON (Token-Oriented Object Notation) for LLM Prompts?
Standard JSON structures carry heavy token overhead due to repeated structural syntax (curly braces, quotes, and colons). TOON notation strips non-essential syntax while maintaining strict schema readability for LLMs like GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro.
| Payload Type | Raw JSON Tokens | TOON Tokens | Token Savings (%) |
|---|---|---|---|
| 10 User Records (Small) | ~380 tokens | ~220 tokens | ~42% |
| 50 Product Objects (Medium) | ~2,850 tokens | ~1,590 tokens | ~44% |
| 200 Data Rows (Large) | ~12,400 tokens | ~6,450 tokens | ~48% |
How TOON Saves LLM Tokens in Production
Traditional JSON uses extensive double quotes, brackets, and colons that consume precious tokens in AI contexts. TOON strips these characters, prefixing keys and values with shorthand type markers like str::, int::, float::, bool::, null::, arr::, and obj::. For large JSON data objects, standard formats waste up to 50% of the token context window on syntactic overhead. Converting data to TOON notation provides identical semantic context to the AI model while reclaiming critical context length for responses.