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| TOON |
Token-Oriented Object Notation |
A compact, human-readable encoding of the JSON data model for LLM prompts. |
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TOON Logo |
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Get Started |
/guide/getting-started |
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Benchmarks |
/guide/benchmarks |
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CLI |
/cli/ |
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Spec v2.0 |
/reference/spec |
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| Token-Efficient & Accurate |
📊 |
TOON reaches 74% accuracy (vs JSON's 70%) while using ~40% fewer tokens in mixed-structure benchmarks across 4 models. |
/guide/benchmarks |
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| JSON Data Model |
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Encodes the same objects, arrays, and primitives as JSON with deterministic, lossless round-trips. |
/guide/format-overview |
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| LLM-Friendly Guardrails |
🛤️ |
Explicit [N] lengths and {fields} headers give models a clear schema to follow, improving parsing reliability. |
/guide/format-overview#arrays |
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| Minimal Syntax |
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Uses indentation instead of braces and minimizes quoting, giving YAML-like readability with CSV-style compactness. |
/guide/format-overview#arrays |
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| Tabular Arrays |
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Uniform arrays of objects collapse into tables that declare fields once and stream row values line by line. |
/guide/format-overview#arrays |
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| Multi-Language Ecosystem |
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Spec-driven implementations in TypeScript, Python, Go, Rust, .NET, and other languages. |
/ecosystem/implementations |
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