TOON Formatter
Free online JSON to TOON formatter. Convert JSON into Token-Oriented Object Notation (TOON) for more efficient and LLM-friendly data representation.
JSON to TOON Formatter for Token-Saving Prompts
TOON (Token-Oriented Object Notation) is a compact, human-readable data format that encodes your existing JSON model in a way that’s friendlier for Large Language Models.
Instead of sending verbose JSON into your prompt, TOON combines YAML-style indentation for nested objects with CSV-style tabular arrays for uniform object lists—aiming to reduce tokens while keeping the structure explicit.
Use this TOON formatter to convert JSON instantly in your browser, then copy the TOON output into your LLM workflow.
Why TOON?
- Token-efficient structure for LLM prompts
- Deterministic, lossless representation of JSON
- Tabular arrays for uniform objects
- Explicit hints like `[N]` lengths and {fields}
Key Features of a TOON Formatter
TOON is designed as a translation layer from JSON to an LLM-friendly, compact representation.
Token-Efficient Encoding
TOON aims to reduce tokens compared to formatted JSON by using minimal syntax and structure-aware representations.
Lossless JSON Model
Encode JSON data into TOON without changing the data model—intended for deterministic, lossless round-trips.
CSV-Like Tabular Arrays
Uniform arrays of objects can collapse into a table that declares fields once and streams row values line-by-line.
LLM-Friendly Guardrails
TOON adds explicit structure hints such as `[N]` array lengths and `{fields}` headers to improve parsing reliability.
How JSON Gets Converted Into TOON
TOON preserves your JSON structure while expressing it with a compact syntax that helps models follow rows, fields, and nesting.
Example: Uniform Arrays of Objects
JSON input
{
"metrics": [
{ "date": "2025-01-01", "views": 6138, "clicks": 174 },
{ "date": "2025-01-02", "views": 4616, "clicks": 274 }
]
}TOON output (shape)
metrics[2]{date,views,clicks}:
2025-01-01,6138,174
2025-01-02,4616,274When TOON Is Not the Best Choice
TOON shines with tabular eligibility, but other formats can be better for complex, non-uniform JSON.
Deeply nested data
When tabular arrays can’t be formed, JSON compact or other structured representations may reduce tokens more effectively.
Non-uniform arrays
If array items have inconsistent fields, TOON’s table savings can diminish. Consider JSON when your structure varies a lot.
Privacy & Security: Local Conversion
This TOON formatter runs conversion in your browser using client-side JavaScript. Your JSON is not transmitted to a server for formatting.
That makes it a safer choice when you’re preparing prompt data, configuration, or structured content you’d rather keep local.
TOON Formatter — Frequently Asked Questions
Convert JSON to TOON for LLM-friendly, token-efficient prompts