Free JSON to TOML Converter Online

What is a JSON to TOML converter?

A JSON to TOML converter rewrites a JSON object as a TOML document, the configuration format defined by TOML v1.0.0. JSON nests everything in braces, while TOML uses named sections such as [database], so the same data becomes easier to read and comment in a config file.

All processing happens in your browser. Your JSON is never uploaded, which matters when a config file holds internal host names or credentials. For the reverse direction and related formats, TestMu AI also offers a TOML to YAML converter and a JSON to YAML converter.

How does JSON to TOML conversion work?

The converter parses your text with RFC 8259 JSON rules, then walks the resulting tree and maps each shape onto its TOML equivalent.

• Plain values become key = value pairs, with numbers written as integers or floats and booleans as true or false.
• Nested objects become table headers, so a JSON key path of database.server is written as [database] followed by server.
• Arrays of objects become an array of tables, the double bracket [[product]] form, repeated once per element.
• Arrays of plain values stay inline, written as ports = [8001, 8002, 8003].
• Key order is preserved, except that plain values are emitted before any table header. A key written after a section header would otherwise be read as part of that section.

How do you convert JSON to TOML online?

• Paste your JSON: Paste or type a JSON object into the input box, upload a .json file, or load the sample configuration to see the format.
• Choose how nulls are handled: TOML has no null type, so pick whether a null becomes an omitted key, an empty string, or a reported error.
• Convert to TOML: Select Convert to TOML, or leave auto update on and the output refreshes as you type.
• Copy or download the result: Copy the TOML to your clipboard or download it as a .toml file ready for Cargo, pyproject, or Hugo.

Here is the sample configuration above, shown as JSON and as the TOML this tool produces.

{ "database": { "ports": [8001, 8002] },
  "product": [ { "name": "hammer", "sku": 738594937 } ] }

[database]
ports = [8001, 8002]

[[product]]
name = "hammer"
sku = 738594937

Why does TOML have no null value?

TOML v1.0.0 defines ten value types, and none of them is null. The format treats an absent setting as a key that is simply not written, so there is no way to store null inside an array either. JSON has no such restriction, which makes null the one shape that cannot cross over unchanged.

Rather than dropping nulls silently, this converter asks you to choose. Omit the key matches how TOML expresses an unset value and is the default.

Use an empty string keeps the key present when a downstream parser expects it. Report an error is useful in a review workflow, where a null means the source data needs fixing before the config ships.

When should you use TOML instead of JSON?

• Files people edit by hand: TOML allows comments and trailing commas, which JSON does not, so reviewers can explain a setting inline.
• Toolchains that expect it: Rust reads Cargo.toml, Python packaging reads pyproject.toml, and Hugo and Netlify both accept TOML config.
• Flat sections over deep nesting: named tables read better than four levels of braces when a human is scanning for one key.
• Test and CI configuration: converting a JSON fixture to TOML lets you keep one source of truth for environment settings you feed into a suite on the TestMu AI Test Manager.

Keep JSON where machines exchange data over an API, and use TOML where a person maintains the file. If you are generating those config files as part of an automated suite, the KaneAI test agent can author and maintain the tests that consume them. To inspect a payload before converting it, use the JSON parser or the JSON to XML converter.

Frequently Asked Questions