Multi-Format Playground
Compare JSON, TOON, YAML, and XML formats side by side
📊 Token Comparison
JSON Input
TOON Output
Compare Data Formats for LLM Optimization
Our multi-format playground allows you to compare JSON, TOON, YAML, and XML formats side by side with real-time token analysis. See exactly how much each format costs in terms of LLM tokens and choose the most efficient encoding for your use case. All token counts use the GPT-5 tokenizer (o200k_base) for accurate LLM cost estimation.
Format Comparison Guide
📊 TOON Format (Best for LLMs)
Typically saves 30-60% tokens compared to JSON. Optimized specifically for Large Language Models with tabular data structures. Best choice for uniform arrays, API responses, and structured datasets sent to GPT-4, Claude, or other AI models.
🔧 JSON Format (Universal Standard)
The universal data interchange format. While not the most token-efficient, JSON is widely supported and human-readable. Good baseline for comparison and essential for standard web APIs and JavaScript applications.
📝 YAML Format (Human-Readable)
More compact than JSON due to minimal syntax overhead. Popular for configuration files and readable data serialization. Typically saves 20-40% tokens versus JSON but still less efficient than TOON for LLM applications.
🏷️ XML Format (Enterprise Standard)
Most verbose format due to opening and closing tags. Generally uses 20-50% more tokens than JSON. Suitable for enterprise systems requiring strict schema validation but inefficient for LLM token optimization.
How to Use the Playground
- Load one of the pre-configured example datasets or paste your own JSON data
- View the token comparison chart showing savings percentage for each format
- Click on format tabs (JSON, TOON, YAML, XML) to see the converted output
- Compare the token counts and choose the most efficient format for your LLM application
- Use the insights to optimize your API payloads and reduce AI costs