Developer Utilities & LLM Token Compression
Format, validate, compare, and convert data structures in your browser. Slash prompt token consumption by 35% to 50% for ChatGPT, Claude, and Gemini with Token-Oriented Object Notation (TOON).
Developer Tool Directory
Explore high-performance client-side tools designed for speed, privacy, and LLM optimization.
JSON Formatter & Beautifier
EssentialFormat, minify, and inspect JSON payloads with 2, 4, or 8 space indentations and real-time syntax error line highlighting.
TOON Studio & Token Compressor
LLM SaverToken-Oriented Object Notation generator that reduces JSON token count by 35% to 50% for ChatGPT, Claude, and Gemini prompts.
Official TOON Studio
TabularEncode repetitive datasets, lists, and database rows into tabular TOON format with schema headers for maximum prompt compression.
JSON Diff Checker
CompareSide-by-side visual difference tool for JSON, XML, and YAML structures with color-coded additions, deletions, and modifications.
XML Studio & Validator
XMLFormat, minify, and validate XML documents with structural linting, tag mismatch error detection, and indentation customization.
JSONPath Evaluator
QueryTest, debug, and evaluate complex JSONPath expressions against nested JSON payloads to filter and extract matching nodes instantly.
Multi-Format Converter
ConvertBi-directional conversion between JSON, YAML, CSV, and XML formats in a single click with accurate array and type mapping.
JSON & XML Tree Viewer
InspectInteractive collapsible tree diagram representation of nested JSON and XML data with fast search, expand-all, and node navigation.
JSON Schema Validator
AjvValidate JSON instances against Draft-07 and Draft 2020-12 specifications with exact validation error path indicators.
String Escaper & Encoder
EncodeEncode and decode Base64, URL percent-encoding, Hexadecimal (base-16), HTML code entities, and programming string escape sequences.
Mock Data Generator
GenerateGenerate realistic dummy datasets for Users, Products, Orders, and Logs in JSON, XML, YAML, CSV, or TOON format.
Why Use TOON (Token-Oriented Object Notation) for LLM Prompts?
Standard JSON structures carry heavy token overhead due to repeated structural syntax (curly braces, quotes, and colons). TOON notation strips non-essential syntax while maintaining strict schema readability for LLMs like GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro.
| Payload Type | Raw JSON Tokens | TOON Tokens | Token Savings (%) |
|---|---|---|---|
| 10 User Records (Small) | ~380 tokens | ~220 tokens | ~42% |
| 50 Product Objects (Medium) | ~2,850 tokens | ~1,590 tokens | ~44% |
| 200 Data Rows (Large) | ~12,400 tokens | ~6,450 tokens | ~48% |
100% In-Browser Execution & Privacy Guarantee
Developer security and corporate data privacy are paramount. Every operation on JSON-TOON Toolkit runs 100% in your local browser using client-side JavaScript and dedicated Web Workers. No payloads, API tokens, database rows, or customer records ever leave your machine or get transmitted to any remote server.
Frequently Asked Questions
Is my data sent to an external server?
No. All formatting, linting, minification, and TOON conversions run locally within your browser using client-side JavaScript. No data is logged, stored, or transmitted.
What is the difference between 2-space and 4-space JSON indentation?
2-space indentation saves vertical and horizontal screen space, making it common in API payloads and microservices. 4-space indentation offers clearer visual distinction in deeply nested objects.
Which LLMs understand TOON format?
Leading frontier models including OpenAI GPT-4o / GPT-4 Turbo, Anthropic Claude 3.5 Sonnet / Haiku, and Google Gemini 1.5 Pro / Flash parse TOON notation natively due to its intuitive type-prefixed syntax.