JSON to TOON Converter

Convert JSON data to TOON format and reduce your LLM token usage by up to 60%

JSON Input
Paste your JSON data here
TOON Output
Converted TOON output
Use in Your Code
Integrate this conversion into your application with our NPM package

1. Install the package

npm install @toonparse/core

2. Use in your code

import { toToon } from '@toonparse/core';

const data = {
  users: [
    { id: 1, name: 'Alice', role: 'admin' },
    { id: 2, name: 'Bob', role: 'user' }
  ]
};

const toon = toToon(data);
console.log(toon);
// users[2]{id,name,role}:
//   1,Alice,admin
//   2,Bob,user

💡 The @toonparse/core package includes token counting, format comparison, and eligibility checking utilities.

Why Convert JSON to TOON?

TOON (Token-Oriented Object Notation) is specifically designed for LLM prompts. When you convert JSON to TOON, you get:

  • 30-60% fewer tokens on uniform array data
  • Better LLM comprehension with explicit structure
  • Lower API costs for ChatGPT, Claude, and other LLMs
  • Lossless conversion - all data is preserved

When to Use TOON vs JSON

Use TOON when:

  • Sending data in LLM prompts (ChatGPT, Claude, GPT-4, etc.)
  • Working with uniform arrays of objects (like database results)
  • Token costs are a concern
  • You need explicit validation (array lengths, field names)

Keep using JSON when:

  • Deeply nested or non-uniform structures
  • API responses that will be parsed by code
  • Standard web development (REST APIs, configs, etc.)

Example Comparison

JSON (Verbose)

{
  "users": [
    {
      "id": 1,
      "name": "Alice",
      "role": "admin"
    },
    {
      "id": 2,
      "name": "Bob",
      "role": "user"
    }
  ]
}

~50 tokens

TOON (Compact)

users[2]{id,name,role}:
  1,Alice,admin
  2,Bob,user

~20 tokens (60% savings)