
JSON → TOON Converte
Cut LLM token costs by converting JSON to TOON format
What it does
JSON → TOON Converter transforms JSON into TOON (Token-Oriented Object Notation), a compact format designed for LLM workflows. It reduces token usage by removing JSON verbosity like repeated keys and brackets. Use it to optimize prompts, AI agents, RAG payloads, and API calls. Runs fully in browser with no signup or backend.
Does the same job
all alternatives →

- AJAgents.json – OpenAPI Specification for LLMs2025 · github.com · ▲212
Hey HN, we’re building an open specification that lets agents discover and invoke APIs with natural language, built on the OpenAPI standard. agents.json clearly defines the contract between LLMs and API as a standard that's open, observable, and replicable. Here’s a walkthrough of how it works: https://youtu.be/kby2Wdt2Dtk?si=59xGCDy48Zzwr7ND. There’s 2 parts to this: 1. An agents.json file describes how to link API calls together into outcome-based tools for LLMs. This file sits alongside an OpenAPI file. 2. The agents.json SDK loads agents.json files as tools for an LLM that…
- IDISON – Data format that uses 30-70% fewer tokens than JSON for LLMsDec 2025 · github.com · ▲7
ISON (Interchange Simple Object Notation) - a data format optimized for LLMs and Agentic AI. The problem: JSON wastes tokens. Curly braces, quotes, colons, commas - all eat into your context window. ISON uses tabular patterns that LLMs already understand from training data: JSON (87 tokens): { "users": [ {"id": 1, "name": "Alice", "email": "[email protected]"}, {"id": 2, "name": "Bob", "email": "[email protected]"} ] } ISON (34 tokens): table.users id:int name:string email 1 Alice [email protected] 2 Bob [email protected] Features: - 30-70% token reduction - Type annotations - References between…
- CJCTON: JSON-compatible, token-efficient text format for LLM promptsNov 2025 · github.com · ▲13
- ATA tool to Convert JSON schemas into TypeScript Deno classes2023 · github.com · ▲43
Hello all To preface this is just something I've been making as a learning exercise, so all feedback is appreciated. This is a tool that converts JSON schemas into TypeScript utility classes for use in Deno. Automatic Type Generation: Typescript interfaces for the compressed and uncompressed versions of your data. Compression & Decompression: Compress and decompress your data. Validation: Built-in data validation using Ajv ensures your data adheres to the schema. Reusability: Once generated, the utility classes can be used in other Deno projects. It currently only supports a subset of JSON…
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