Supports: key=value pairs, [sections], nested sections, strings, numbers, booleans, and arrays
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Copy TOML from Cargo.toml, pyproject.toml, or any config file and paste into the input field. The tool handles tables, arrays, nested sections, and all TOML data types.
The converter validates TOML syntax in real-time. Invalid TOML triggers error messages showing exactly what's wrong and where, helping you fix syntax issues quickly.
See your TOML instantly converted to JSON format with proper nesting, quoted keys, and 2-space indentation. Arrays, tables, and inline tables map cleanly to JSON structures.
Click Copy to grab JSON for use in JavaScript applications, or Download as .json file for APIs, databases, or configuration systems that require JSON input.
Understanding TOML to JSON conversion
TOML (Tom's Obvious Minimal Language) to JSON conversion transforms human-friendly configuration format into JavaScript Object Notation for use in web applications, APIs, and JSON-based tools. TOML is designed specifically for config files with clean syntax optimized for humans, while JSON serves as the universal data exchange format for web services and JavaScript applications.
TOML dominates the Rust ecosystem (Cargo.toml package manifests), Python modern tooling (pyproject.toml for Poetry, Black, pytest), and configuration management where clarity matters. JSON dominates web APIs, browser JavaScript, NoSQL databases, and programmatic data exchange. Converting between them enables config-driven applications to consume TOML user configs while processing them as JSON internally.
Rust and Python projects use TOML for package configuration (Cargo.toml, pyproject.toml), but build tools and CI/CD pipelines often require JSON input. Convert TOML configs to JSON for processing with JavaScript tools, importing into MongoDB or Firestore, sending to REST APIs that accept JSON, or using with configuration management systems expecting JSON.
Web applications that allow user-provided configuration files can accept TOML (easier for users to write) and convert to JSON internally for processing. TOML's readable syntax makes it ideal for user-facing configs, while JSON's ubiquity makes it ideal for programmatic processing.
TOML:
[database]
host = "localhost"
port = 5432
[database.credentials]
username = "admin"
password = "secret"
JSON:
{
"database": {
"host": "localhost",
"port": 5432,
"credentials": {
"username": "admin",
"password": "secret"
}
}
}
TOML uses [section] headers for nesting instead of braces. Keys don't need quotes. Strings use quotes but numbers/booleans don't. Comments are allowed (#). JSON requires strict quoting, braces for nesting, no comments.
Readability: Section headers ([database], [server]) mirror .ini file structure familiar to developers. No visual noise from braces and commas.
Comments support: TOML allows # comments inline and on dedicated lines. JSON has no comment support (technically invalid, though some parsers allow //).
Type safety: TOML enforces data types at parse time. Dates, datetimes, and integers are distinct types. JSON treats everything as strings, numbers, or booleans with no datetime support.
Multi-line strings: TOML supports triple-quoted strings ('''multi-line text''') preserving formatting without escape characters. JSON requires \n escapes.
Arrays of tables: TOML's [[array.of.tables]] syntax cleanly represents repeated config sections (multiple [[database]] entries). JSON requires arrays of objects which is less readable.
Rust ecosystem: Cargo.toml for package manifests, dependencies, build configuration.
Python modern tooling: pyproject.toml for Poetry dependency management, Black formatter config, pytest settings, Ruff linter config.
Configuration files: Application configs, deployment settings, feature flags where human editing is common.
Hugo static site generator: Hugo config files (config.toml) for site configuration.
This tool handles all TOML features: tables, inline tables, arrays, arrays of tables, datetimes, multi-line strings, and comments (which are stripped in JSON output since JSON doesn't support comments). All processing happens client-side - your config data never leaves your browser.
How developers use TOML to JSON conversion
Parse Rust package manifests (Cargo.toml) into JSON for custom build scripts, dependency analyzers, or CI/CD tools that process package metadata. Convert Cargo.toml to JSON to extract dependencies programmatically.
Extract Python project configuration from pyproject.toml (Poetry, Black, pytest configs) into JSON for processing by JavaScript build tools, documentation generators, or custom scripts.
Convert TOML configuration files to JSON for storage in NoSQL databases. TOML provides clean syntax for users to define configs, then convert to JSON for database insertion.
Allow users to write application configs in TOML (easier syntax) while your Node.js app consumes them as JSON. Convert TOML to JSON at runtime or during build process for compatibility with JSON-based config libraries.
Master TOML parsing and JSON generation
This tool provides instant TOML to JSON conversion with full TOML v1.0 spec support, validation, and error reporting. All processing happens client-side using JavaScript TOML parsers - no server uploads.
Paste valid TOML into the input field. The tool parses and validates TOML syntax, then converts to formatted JSON with 2-space indentation. Supports all TOML features: tables, inline tables, arrays, arrays of tables, strings, integers, floats, booleans, datetimes, and multi-line strings.
Invalid TOML triggers detailed error messages indicating the problem and line number. Common errors: unquoted strings with spaces, missing = in key-value pairs, unclosed quotes, invalid section headers. Fix errors in TOML before conversion completes.
TOML allows # comments which JSON doesn't support. Comments are automatically stripped during conversion. If you need to preserve comments as documentation, manually add them as JSON string values or separate documentation file.
TOML has native datetime types (2024-01-15T10:30:00Z). These convert to ISO 8601 string format in JSON since JSON has no datetime type. Parse these strings as Date objects in JavaScript: new Date(jsonValue).
TOML's [[section]] syntax creates arrays of table objects. For example:
[[database]]
host = "db1"
[[database]]
host = "db2"
Converts to JSON array:
{
"database": [
{ "host": "db1" },
{ "host": "db2" }
]
}
TOML inline tables {key = "value", key2 = "value2"} convert directly to JSON objects {"key": "value", "key2": "value2"}. Both represent same structure with different syntax.
Everything you need to know
Your data never leaves your browser
Your TOML data never leaves your browser. This converter operates entirely client-side using JavaScript TOML parsing libraries. Zero server uploads, zero data transmission, zero logging.
Safe for converting sensitive configurations, package manifests with proprietary dependencies, API credentials, infrastructure settings, or any confidential TOML data. Use with confidence for Cargo.toml, pyproject.toml, or production configs.
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