JSON to TOON Converter
Convert JSON to TOON format (primary) or YAML/TOML/XML. Reduce LLM token usage by 30-60% with TOON. Validate and format JSON data.
TOON: The "Cost-Saving" Format for LLMs
TOON (Token-Oriented Object Notation) is a data format specifically engineered for the era of Generative AI. While JSON is the web standard, it is "verbose"—repeating keys for every object in an array. This verbosity costs money when feeding data to models like GPT-4 or Claude.
Benchmark: JSON vs. TOON
Scenario: A list of 50 users (id, name, email, role).
~2,500 Tokens
~1,100 Tokens
When to use TOON?
- RAG Applications: When retrieving context from a vector DB to feed into an LLM prompt.
- Large Datasets: Processing CSVs or logs where structure is repetitive.
- High-Throughput APIs: Reducing bandwidth for mobile clients.
Frequently Asked Questions
Can LLMs read TOON natively?
Yes. Modern models like GPT-4, Claude 3.5 Sonnet, and Llama 3 are smart enough to understand the schema-first structure of TOON without specific training. It reads like a compact table.
Can I convert TOON back to JSON?
Currently, this tool is a one-way optimizer (JSON -> TOON) to prepare data for prompts. However, writing a parser to convert TOON back to JSON is simple since it follows a deterministic structure.
Is this standard compression like GZIP?
No. GZIP compresses files for storage or network transfer, but the LLM must decompress it to read it (using tokens). TOON compresses the semantic structure so the LLM reads fewer tokens directly.
Does it work with nested JSON?
TOON is most efficient for "Uniform Arrays" (lists of similar objects). While it supports nesting, the savings diminish if every object has a completely unique structure.
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