What TOON compresses well
Repeated object keys are lifted into one header line, then each row keeps only values. That makes it useful as a JSON compressor for arrays of objects, API payloads, product catalogs, logs, and prompt-ready JSON.
Convert JSON to TOON serialization format and reduce LLM tokens by 30-60%. Lower GPT token costs and Claude API costs with our free browser-based converter.
Compact notation with table blocks for repeated object arrays.
Repeated object keys are lifted into one header line, then each row keeps only values. That makes it useful as a JSON compressor for arrays of objects, API payloads, product catalogs, logs, and prompt-ready JSON.
The page uses a simple approximate token estimate based on text length, then shows an example cost comparison at $30 per million tokens for AI prompts, LLM payloads, and structured JSON requests.
Switch to TOON -> JSON to reverse the converter output and verify structure before you move it into prompts, docs, examples, or JSON optimization workflows.
The goal is structural compression, not semantic compression. The generated TOON keeps enough information for this tool to reconstruct the original JSON shape.
No. TOON helps most when many objects reuse the same keys. Very small JSON or highly irregular nested structures may see smaller gains.
Yes, that is the main idea. The banner gives an approximate reduction estimate so you can compare source and TOON payload size quickly.
It is useful for developers, prompt engineers, API users, and anyone trying to compress JSON for ChatGPT, Claude, Gemini, or other language model workflows.
People may look for this as a JSON compressor, prompt token reducer, JSON prompt optimizer, JSON array compressor, TOON converter, TOON parser, or TOON to JSON converter.