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JSON to TOON Converter

Convert JSON to TOON format instantly and reduce LLM token usage by 30-60%. Lower GPT-4 and Claude API costs with our free, secure, browser-based converter — no signup, no data collection.

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Why Use JSON to TOON Converter?

Save money on LLM API costs, protect your privacy, and optimize your AI workflows with the most efficient data format for ChatGPT, Claude, and other language models.

Reduce Tokens by 30-60%

TOON format eliminates redundant JSON syntax like brackets, braces, and repeated keys — cutting token usage by up to 60% based on official benchmarks.

Lower LLM API Costs

Save significantly on GPT-4, Claude, Gemini, and other LLM API costs. With 46% fewer tokens on average, you'll see immediate cost savings on every API call.

Completely Free Forever

No account required, no credit card, no limits. Convert unlimited JSON to TOON anytime, anywhere — 100% free forever.

Your Data Never Leaves Your Device

All conversion happens locally in your browser. Zero data transmission, zero servers, zero tracking. Your JSON stays private, guaranteed.

Instant Conversion in Milliseconds

Convert even large JSON files in under 100ms. Real-time processing with immediate results — no waiting, no delays.

JSON ↔ TOON Both Ways

Convert JSON to TOON for LLM prompts, then convert back to JSON when needed. Lossless conversion preserves your data structure perfectly.

Token Optimization

What is TOON Format?

Token-Oriented Object Notation: A revolutionary data format that reduces LLM token usage by 30-60% and slashes your API costs

30-60%
Token Reduction
100%
Client-Side
Instant
Conversion

TOON (Token-Oriented Object Notation) is a compact data format specifically designed for Large Language Models. By eliminating JSON's repetitive keys, excessive punctuation, and tokenization inefficiencies, TOON delivers massive token savings while maintaining perfect data clarity.

The Problem with JSON

While JSON excels at data interchange, it's highly inefficient for LLMs due to:

1
Repeated Keys

Array keys repeat for every item, wasting tokens:

{"id": 1, "name": "Alice"}{"id": 2, "name": "Bob"}

→ "id" and "name" appear twice unnecessarily

2
Excessive Punctuation

Brackets, braces, quotes, and commas create massive token overhead

3
Whitespace Bloat

Pretty-printed indentation and newlines increase file size significantly

4
Tokenization Penalties

LLM tokenizers split punctuation into separate tokens, amplifying the inefficiency

⚠️ Result: JSON can double your token count for structured data like user lists, catalogs, and analytics

When Should You Use TOON?

Choose the right format for your use case

Use TOON For

  • Uniform Arrays of Objects

    User lists, product catalogs, analytics data, API responses with consistent structure

  • Large Datasets

    The more rows you have, the greater the savings. 100-item arrays can save thousands of tokens

  • LLM Prompts & Context

    Passing data in ChatGPT, Claude, or Gemini prompts. Maximize context window efficiency

  • Data Pipelines & ETL

    Structured data extraction, transformation, and loading for LLM processing

Stick with JSON

  • Deeply Nested Structures

    Complex hierarchies and deep nesting reduce TOON's efficiency benefits

  • Non-Uniform Data

    Objects with varying fields and inconsistent schemas don't compress well

  • System Interoperability

    When integrating with systems that strictly require standard JSON format

  • Small Datasets

    Tiny objects with fewer than 10 items show minimal token savings

Got Questions? We've Got Answers

Frequently Asked Questions

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