New Tool Converts JSON to Markdown to Cut LLM Token Usage by Up to 16%

A new open-source tool called json-to-md converts JSON documents into deterministic, human-readable GitHub Flavored Markdown, targeting developers building AI agents and LLM-based applications. The tool runs across multiple environments including browsers, Node.js, Go, and the command line, with TypeScript and Go implementations producing byte-identical output. The core motivation is token efficiency: feeding raw JSON to large language models wastes tokens on structural punctuation like braces, quotes, and colons that the model does not need to parse content. A tiktoken measurement of a real document showed a reduction from 13,869 tokens in JSON to 11,612 in Markdown, roughly a 16% saving, with some reports citing reductions of up to 2x for deeply nested data. Beyond token savings, Markdown output is easier for humans to read, diff, and edit, and concatenates more cleanly than stringified JSON in agent memory logs and RAG pipelines.