Reduce LLM Token Usage by 30-60%

Convert JSON to TOON format - a compact, human-readable encoding optimized for Large Language Models

30-60%
Token Savings
73.9%
LLM Accuracy
100%
JSON Compatible
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JSON ↔ TOON Converter

Instantly convert between JSON and TOON formats with real-time token counting

✓

Format Validator

Validate TOON syntax and catch errors like array length mismatches

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Token Counter

Compare token usage across JSON, YAML, XML, and TOON formats

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Interactive Playground

Experiment with TOON syntax using pre-loaded example datasets

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Schema Generator

Automatically generate optimal TOON structure from your data

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API Access

Integrate TOON conversion into your workflow via REST API

See the Difference

JSON (126 tokens)
{
  "users": [
    {
      "id": 1,
      "name": "Alice",
      "role": "admin"
    },
    {
      "id": 2,
      "name": "Bob",
      "role": "user"
    }
  ]
}
TOON (49 tokens) - 61% savings
users[2]{id,name,role}:
  1,Alice,admin
  2,Bob,user

Why Choose TOON Format?

💰 Save Money on LLM API Costs

Reduce token consumption by 30-60% when working with GPT-4, Claude, or other Large Language Models. Lower token counts mean lower API costs and faster processing times for your AI applications.

🎯 Better LLM Accuracy

TOON format achieves 73.9% LLM accuracy compared to JSON's 69.7%. The compact, structured format helps AI models understand and process data more effectively, leading to better results.

âš¡ Fully Compatible with JSON

TOON is 100% compatible with the JSON data model. Convert between formats seamlessly without losing any information. Perfect for existing JSON-based workflows and APIs.

🚀 Optimized for Tabular Data

TOON excels with uniform arrays and tabular data structures. Employee records, user lists, time-series data, and API responses see the biggest token savings with TOON's efficient encoding.

Perfect for AI & Data Applications

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AI Chatbots & Assistants

Reduce context window usage and lower costs for GPT-4, Claude, and custom LLM applications

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Data Analytics

Send large datasets to LLMs for analysis while staying within token limits

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API Optimization

Optimize API payloads for machine learning models and AI services

Real-World Success Stories

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E-commerce Product Recommendations

AI-powered shopping assistant

An online retailer processes 1,000 product recommendation requests daily using GPT-4. Their catalog contains 500 products with details like name, price, category, and features.

Before (JSON)
6,000 tokens/request
$180/day
After (TOON)
2,400 tokens/request
$72/day
60%Token Savings
$3,240/month saved
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Business Intelligence Dashboard

Automated insights generation

A SaaS company sends daily analytics data (user activity, revenue, metrics) to Claude for automated insight generation. Dataset: 200 records with 12 fields each.

Before (JSON)
4,200 tokens/report
Daily reports
After (TOON)
1,680 tokens/report
Same quality
60%Cost Reduction
Faster insights
+4.2% accuracy
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Customer Support Chatbot

AI-powered help desk

A tech company uses GPT-4 for their support chatbot, sending order history and user data in each conversation context. Average: 50 orders per customer query.

Before (JSON)
2,800 tokens
Context limited
After (TOON)
1,120 tokens
2.5x more data
60%Space Saved
Better context
Improved responses
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Research Data Analysis

Scientific dataset processing

A research lab analyzes experimental results using LLMs. Dataset: 1,000 data points with timestamp, measurements, and metadata fields per experiment.

Before (JSON)
12,450 tokens
Truncated data
After (TOON)
4,980 tokens
Full dataset
60%Token Reduction
Complete analysis
No truncation

How to Use TOON Kit

1

Paste Your JSON Data

Copy your JSON data and paste it into the converter. You can also load one of our 6 pre-configured example datasets to see TOON in action.

2

Convert to TOON Format

Click the convert button and watch your JSON transform into compact TOON format. See real-time token count comparison and savings percentage.

3

Copy or Download

Use the copy button to quickly paste into your LLM prompt, or download as a .toon file for later use. Start saving on token costs immediately!

How TOON Reduces Tokens

TOON (Token-Oriented Object Notation) is a data encoding format designed specifically for Large Language Models. Instead of repeating property names for every object in an array like JSON does, TOON declares field names once and then provides just the values in a tabular format.

For example, a JSON array with 1000 user objects repeats "id", "name", and "role" 1000 times. TOON declares these fields once in the header: users[1000]{id,name,role}:and then lists only the values. This simple change reduces tokens by 30-60% while maintaining complete data fidelity.

Our free online converter makes it easy to transform your JSON data into TOON format. Just paste your JSON, click convert, and see the token savings instantly. Use our playground to compare TOON with JSON, YAML, and XML side by side, or integrate TOON conversion into your workflow using our REST API.