JSON to TOML Converter

Convert JSON to TOON format instantly and reduce LLM token usage by 30-60%. Free online converter optimized for ChatGPT, Claude, and Gemini. Save API costs today.

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TOML and JSON examples

What is JSON?

JSON (JavaScript Object Notation) is a lightweight data-interchange format that is easy for humans to read and write while being machine-readable. It uses key-value pairs to represent data and is widely used in web applications for transmitting data between servers and clients. JSON supports various data types such as strings, numbers, booleans, arrays, objects, and null.

    Key Features of JSON:

  • Data is represented as key-value pairs
  • Keys must be strings enclosed in double quotes
  • Arrays are enclosed in square brackets [], while objects are enclosed in curly braces {}
  • No support for comments
  • Designed to be language-independent but closely resembles JavaScript syntax
{
  "name": "John Doe",
  "age": 30,
  "skills": [
    "Python",
    "JavaScript",
    "DevOps"
  ],
  "address": {
    "street": "123 Main St",
    "city": "Springfield",
    "zip_code": 12345
  }
}
What is TOML?

TOML (Tom's Obvious, Minimal Language) is a minimal configuration file format designed to be easy to read and write due to its simple and clear semantics. Created by Tom Preston-Werner, TOML aims to be a more human-friendly alternative to formats like JSON and YAML for configuration files. It maps unambiguously to a hash table and is used by many projects including Cargo (Rust's package manager), Poetry (Python dependency manager), and various other tools.

Key Features of TOML:

  • Simple key-value pairs for basic configuration
  • Supports comments using #
  • Tables (sections) defined using [table_name]
  • Arrays defined with square brackets []
  • Strong typing with clear date/time formats
  • Nested structures using dot notation or table headers
name: John Doe
age: 30
skills[3]: Python,JavaScript,DevOps
address:
  street: 123 Main St
  city: Springfield
  zip_code: 12345

Frequently Asked Questions

TOON (Token-Oriented Object Notation) is a data format specifically designed to reduce token consumption in Large Language Model applications. Converting JSON to TOON typically saves up to 60% (average 40%) tokens by eliminating redundant syntax like braces, brackets, and excessive quotes while maintaining data structure through indentation. Since LLM API costs are based on token consumption, TOON conversion can significantly reduce expenses for AI applications, chatbots, RAG systems, and data-heavy LLM workflows.
Simply paste or type your JSON data into the input field. The converter automatically transforms it to TOON format in real-time as you type-no button clicks needed for conversion. You'll instantly see the token count comparison showing your savings. Click the 'Copy to clipboard' button to copy the TOON output for use in your LLM prompts or API calls. If your JSON contains syntax errors, an error message will appear with details about the issue.
Independent benchmarks show JSON to TOON conversion achieves up to 60% (average 40%) token reduction depending on your data structure. Arrays of uniform objects see the highest savings-often 50-60% reduction. Since LLM providers charge based on token consumption, reducing tokens by up to 60% (average 40%) translates directly to proportional cost savings. Applications making thousands of LLM API calls daily can reduce monthly costs by 40-50% through TOON conversion.
Yes, all major LLMs including GPT-5, Claude, Gemini, and other models understand TOON format natively. TOON uses simple, readable syntax similar to YAML with CSV-style tables, which LLMs already handle well. Benchmarks show LLMs achieve 86.6% accuracy with TOON compared to 83.2% with JSON, meaning converting JSON to TOON not only saves tokens but can actually improve model comprehension and response accuracy.
Absolutely. All JSON to TOON conversion happens entirely in your browser using JavaScript-no data is sent to external servers or stored anywhere. This client-side architecture ensures complete privacy and security for sensitive data including API keys, personal information, or proprietary business data. Your JSON never leaves your device, making the converter safe for confidential projects.
TOON excels with arrays of uniform objects (like user lists, product catalogs, analytics data, database exports) where it achieves 50-60% token reduction. Nested structures and configuration files also benefit with 30-40% savings. Pure tabular data converts efficiently to TOON's CSV-style format. The converter handles all valid JSON, though deeply nested non-uniform structures may see smaller gains. The tool shows real-time token counts so you can see exact savings for your specific data.

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