Toon

Compact, human-readable JSON encoding for LLM prompts

EstablishedOpen SourceLow lock-in
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Pricing

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Flat rate

Adoption

→Stable

License

Open Source

Data freshness

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Overview

What is Toon?

Token-Oriented Object Notation (TOON) is a compact and schema-aware encoding of JSON designed to optimize the efficiency of Large Language Model (LLM) prompts. It enhances readability while reducing data size.

Key differentiator

“TOON stands out as a compact, human-readable JSON encoding that optimizes LLM prompts while maintaining readability and schema-awareness.”

Capability profile

Strength Radar

Compact JSON enc…Schema-aware to …Human-readable f…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Compact JSON encoding for efficiency in LLM prompts

Schema-aware to maintain data integrity and readability

Human-readable format for easy debugging and comprehension

Fit analysis

Who is it for?

✓ Best for

Developers working with LLMs who need to optimize prompt size and efficiency

Teams that require human-readable, schema-aware data encoding for debugging purposes

✕ Not a fit for

Projects where the overhead of schema awareness is not justified by the benefits

Scenarios requiring real-time processing where TOON's additional parsing might introduce latency

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Next step

Get Started with Toon

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →