Reduce your LLM token usage by 30% to 60% on average
Click to view full sizeThe website provides a tool for converting JSON data to a format called TOON, focusing on privacy and efficiency. This in-browser converter ensures user data privacy as all operations occur locally without any network transmission. It aims to reduce costs associated with large language models (LLMs) by 30-60%, leveraging TOON’s token-efficient format. The site highlights JSON’s verbosity, lack of schema enforcement, syntactic rigidity, and inefficient tokenization as challenges that TOON addresses. TOON offers a more human-readable and universally compatible data serialization format, supporting models like GPT-4 and Claude. The tool allows effortless, lossless conversions between JSON and TOON, with straightforward integration into applications. The conversion process is simple: paste JSON data, execute the conversion, and copy or download the result. The site also includes informative resources on TOON and its application in prompt engineering with LLMs.
JSON wastes LLM tokens and is error-prone in prompts
In-browser converter to switch JSON↔TOON locally to cut tokens
Developers using LLMs with JSON data
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