Free Online JSON to TOON Converter
Convert JSON data to TOON (Tokenized Object Notation) format for easy analysis and token counting.
100% Private & Secure✓ Offline Ready✓ Client-Side Only
Your data is processed locally in your browser and is never uploaded to any server.
Paste any valid JSON structure
What is TOON Format?
What is TOON Format?
TOON (Token-Oriented Object Notation) is a specialized format designed to visualize the structure and token distribution of JSON data. It breaks down complex nested structures into a flat, readable list of tokens, making it easier to analyze data depth and complexity.
This format is particularly useful for developers working with large language models (LLMs), as it helps estimate token usage and understand how JSON data will be processed by AI systems.
- Token Visualization: See exactly how JSON is broken into tokens
- Depth Analysis: Understand nesting levels and structure complexity
- LLM Optimization: Estimate token usage for AI models
- Debugging Aid: Quickly spot structural errors in deep JSON
When to Use JSON to TOON
- Token Cost Estimation: Calculate LLM API costs before making requests
- API Response Analysis: Understand the structure of unknown API responses
- Data Structure Visualization: See the schema and depth of complex JSON
- Debugging: Find structural issues in deeply nested data
- LLM Training Prep: Prepare and analyze data for tokenization systems
How to Use
- Paste your JSON data into the input field
- Click "Convert to TOON" to see the tokenized output
- Review the token breakdown with type and depth indicators
- Copy the TOON output or download for later use
💡 Pro Tips
- TOON format shows token type (string, number, array, object, etc.)
- Depth numbers indicate nesting level in the original JSON
- Use this to estimate OpenAI API costs (GPT models charge per token)
- Color coding helps distinguish between different token types
- Large JSON files may produce extensive TOON output
TOON & Tokenization Glossary
- TOON
- Token-Oriented Object Notation - a format that breaks down JSON into individual tokens with type and depth information.
- Token
- A fundamental unit of data in text processing, typically a word, number, punctuation mark, or special character.
- Tokenization
- The process of breaking text or data into smaller units (tokens) for processing by language models or parsers.
- Nesting Depth
- The level of object/array embedding in JSON structure. Higher depth means more complex, nested data.
- LLM (Large Language Model)
- AI models like GPT that process text as tokens and charge based on token count for API usage.
- JSON Schema
- The structure and organization of JSON data, including field types, nesting, and relationships.
What is TOON Format?
What is TOON Format?
TOON (Token-Oriented Object Notation) is a specialized format designed to visualize the structure and token distribution of JSON data. It breaks down complex nested structures into a flat, readable list of tokens, making it easier to analyze data depth and complexity.
This format is particularly useful for developers working with large language models (LLMs), as it helps estimate token usage and understand how JSON data will be processed by AI systems.
- Token Visualization: See exactly how JSON is broken into tokens
- Depth Analysis: Understand nesting levels and structure complexity
- LLM Optimization: Estimate token usage for AI models
- Debugging Aid: Quickly spot structural errors in deep JSON
When to Use JSON to TOON
- Token Cost Estimation: Calculate LLM API costs before making requests
- API Response Analysis: Understand the structure of unknown API responses
- Data Structure Visualization: See the schema and depth of complex JSON
- Debugging: Find structural issues in deeply nested data
- LLM Training Prep: Prepare and analyze data for tokenization systems
How to Use
- Paste your JSON data into the input field
- Click "Convert to TOON" to see the tokenized output
- Review the token breakdown with type and depth indicators
- Copy the TOON output or download for later use
💡 Pro Tips
- TOON format shows token type (string, number, array, object, etc.)
- Depth numbers indicate nesting level in the original JSON
- Use this to estimate OpenAI API costs (GPT models charge per token)
- Color coding helps distinguish between different token types
- Large JSON files may produce extensive TOON output
TOON & Tokenization Glossary
- TOON
- Token-Oriented Object Notation - a format that breaks down JSON into individual tokens with type and depth information.
- Token
- A fundamental unit of data in text processing, typically a word, number, punctuation mark, or special character.
- Tokenization
- The process of breaking text or data into smaller units (tokens) for processing by language models or parsers.
- Nesting Depth
- The level of object/array embedding in JSON structure. Higher depth means more complex, nested data.
- LLM (Large Language Model)
- AI models like GPT that process text as tokens and charge based on token count for API usage.
- JSON Schema
- The structure and organization of JSON data, including field types, nesting, and relationships.