
JSON to TOON Converter
Reduce your LLM token usage by 30% to 60% on average
If you’re building with Large Language Models, you know that context is currency. Every token you waste on syntax is a token you can't use for reasoning, history, or creativity.
We’ve all been defaulting to JSON because it’s the standard of the web. But have you ever looked at a 50-item list in JSON inside a prompt? It’s a sea of repetitive keys ("name", "id", etc.), curly braces, and quotes. That is a "Syntax Tax", and you are paying for it with every single API call.
I built a tool to convert JSON to TOON to help developers visualize a better way.
This free tool instantly converts your JSON payloads into TOON (Token-Oriented Object Notation). TOON is a format built specifically for the AI era. It uses a "Sparse Tree, Dense List" philosophy - keeping the clean hierarchy of YAML for metadata but switching to CSV-style tables for arrays.
The result?
1. Massive Savings: You can reduce token usage by 30-50% for list-heavy data.
2. Better Performance: Benchmarks show LLMs often retrieve data more accurately from TOON because the signal-to-noise ratio is much higher.
You don't need to rewrite your backend to test it. Just paste your data into the app and see the compression for yourself. It’s ideal for optimizing RAG payloads, shrinking few-shot examples, or just cleaning up your debug logs.
I’d love to hear your take. Is token efficiency a priority for you right now, or do you prefer sticking to JSON regardless of the cost?
Give the tool a try and let me know what you think!
About
I built the JSON to TOON Converter to bridge the gap between current standards and AI optimization. The goal is to provide developers with a friction-free way to visualize the significant efficiency of the TOON format.

Comment