TOML has become the configuration format of choice for a wave of developer tools: Rust's Cargo.toml, Python's pyproject.toml, Hugo site configs, and Netlify deployment files all use it. If your settings currently exist as JSON, this converter rewrites them as tidy TOML tables and key-value pairs in real time.
It is especially handy for Python developers moving legacy setup metadata into pyproject.toml, and for anyone migrating a static site to Hugo who needs an existing JSON config expressed as config.toml. The section-header style of TOML often makes long configuration files easier to scan than deeply nested JSON.
Nothing you type or load here is uploaded anywhere. The parsing and TOML generation happen inside your browser's own JavaScript engine, meaning your project configuration stays on your machine the whole time.
TOML has no null type, so a JSON null cannot be represented directly. Remove those keys or replace the nulls with an empty string, zero, or another sentinel value before converting.
They become tables introduced by bracketed section headers, and arrays of objects become arrays of tables using double brackets. This mirrors how Cargo and pyproject files organize grouped settings.
Yes. TOML natively supports strings, integers, floats, booleans, arrays, and tables, so typed values from JSON keep their types instead of being coerced to text.