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TOML to JSON

Parse a TOML file into JSON in one click: tables, arrays of tables, inline arrays, inline tables, dotted keys, comments and typed values. All client-side.

TOML Input
Waiting for input
JSON Output
[table] and dotted keys build nested objects, [[table]] appends array elements, and inline arrays and inline tables become JSON arrays and objects.

About TOML to JSON

TOML is the configuration format of Cargo, poetry, pip and a generation of tooling — and JSON is the lingua franca every API and store speaks. When a .toml file has to feed a JSON consumer, you need a real parse: tables to objects, [[headers]] to arrays, values to their native types, not a text patchwork.

Convert TOML to JSON parses standard TOML into a clean JSON document. Tables, arrays of tables, dotted keys, inline arrays and inline tables are all resolved, comments are stripped, and values keep their types.

Features

  • Full table support: [table], [nested.table] and dotted-key forms build nested JSON.
  • Arrays of tables: Every [[customers]] header appends an element to the array.
  • Inline values: Inline arrays and inline tables parse into JSON arrays and objects.
  • String forms: Basic ("...") and literal ('...') strings with escapes and Unicode.
  • Typed scalars: Integers, floats and booleans become native JSON values.
  • Comment stripping: Full-line and inline # comments are ignored.
  • Pretty output: The result is formatted, readable JSON.
  • Private: All processing happens in your browser; nothing is uploaded.

How to Use

  1. Paste your TOML file into the input pane.
  2. Review the live JSON — tables and arrays are resolved automatically.
  3. Check numbers and booleans are typed as expected.
  4. Copy or download the JSON document.

Examples

Example 1 — Cargo tooling. A developer converts a Cargo.toml into JSON to drive a custom build pipeline, with dependencies and features mapping cleanly onto arrays and tables.

Example 2 — Config store. A platform team migrates .toml configs into a JSON-backed store, parsing each file and committing the result after review.

Example 3 — Audit. An engineer converts pyproject.toml to JSON to inspect the effective configuration as a tree, catching a mistyped table path that was invisible in the flat file.

Example 4 — Round-trip editing. A developer converts TOML to JSON, edits it, and converts back with the companion tool.

Benefits

  • Real parsing: Tables, arrays and types come out as actual JSON structures.
  • Standards-faithful: Handles the common TOML 1.0 surface correctly.
  • Clean output: Comments vanish and values keep their types.
  • Zero data movement: The file is parsed locally and never uploaded.
  • Instant results: Live output updates with every keystroke.

Frequently Asked Questions

What TOML syntax is supported?
Tables ([server] and [server.limits]), arrays of tables ([[customers]]), dotted keys (server.host = 1), inline arrays ([1, 2, "x"]), inline tables ({ port = 5432 }), basic and literal strings, integers, floats, booleans and # comments.
How are tables mapped?
[server] becomes a nested object, [server.limits] nests one level deeper, and [[customers]] appends each occurrence as an element of the customers array. The full path is resolved automatically.
What about dotted keys?
TOML 1.0 dotted keys like a.b.c = 1 are treated exactly like the equivalent table structure: {"a":{"b":{"c":1}}}. Both forms produce identical JSON.
Are values typed?
Yes — that is the point of parsing rather than string conversion. Integers and floats become numbers, true/false become booleans, quoted values become strings, and arrays and inline tables become their JSON counterparts.
Are comments preserved?
No. Comment lines and inline # comments are stripped during parsing, matching the behavior of standard TOML loaders. Only real values end up in the JSON.
Is my TOML uploaded anywhere?
No. Parsing happens entirely in your browser. Nothing is uploaded, stored or logged.