JSON to TOML Converter Online

JSON is great for APIs, but it's a poor fit for hand-edited config files: no comments, no datetime type, and no concept of sections. TOML was designed to fix those gaps. This tool gives you a quick path from a JSON config snippet (often easier to generate or copy from documentation) to a TOML file you can drop straight into Cargo.toml, pyproject.toml, or config.toml.

How to convert JSON to TOML — 4 steps

1. Paste JSON. Drop your JSON object into the input panel. Click Load Sample for a realistic config example.
2. Click Convert. The tool walks the JSON tree, splits nested objects into sections, and emits idiomatic TOML.
3. Review the output. Verify [section] headers, dotted keys, datetimes, and array-of-tables match your expectations.
4. Copy the TOML. Paste straight into Cargo.toml, pyproject.toml, or any TOML-based configuration file.

Sample input and output

{
  "title": "Example",
  "owner": { "name": "Tom" },
  "database": {
    "enabled": true,
    "ports": [8000, 8001]
  }
}

title = "Example"

[owner]
name = "Tom"

[database]
enabled = true
ports = [8000, 8001]

Common use cases

• check_circleAuthoring a Cargo.toml from a JSON snippet generated by a script
• check_circleMigrating a JSON config file (e.g. tsconfig-style) to TOML for a Rust or Python project
• check_circleGenerating pyproject.toml metadata blocks from a JSON template
• check_circleConverting Hugo or Zola JSON front-matter to TOML front-matter
• check_circleTranslating JSON-based service definitions to TOML for tools that prefer it
• check_circleProducing example TOML snippets for blog posts, README files, or documentation
• check_circleRound-tripping config between TOML-first and JSON-first tooling
• check_circleQuickly previewing what a JSON object would look like as TOML

JSON vs TOML — quick comparison

JSON is strict, terse, and machine-friendly — perfect for APIs but painful for humans (no comments, no trailing commas, no datetime type). TOML is its inverse: explicit, quote-light, comment-friendly, and section-based, optimised for hand-edited configuration. The conversion is mostly mechanical, but the structural choices TOML offers (sections vs inline tables, array-of-tables vs inline arrays) can make a TOML file dramatically more readable than the equivalent JSON. The converter picks the idiomatic form by default: nested objects expand to sections, while small arrays of scalars stay inline.