TOML to JSON Converter Online
Convert TOML configuration files to JSON format instantly. Transform Cargo.toml, pyproject.toml, and other TOML configs into JSON.
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About TOML to JSON Converter
TOML is the configuration format of choice for Rust (Cargo.toml), Python (pyproject.toml), Hugo, Deno, and many modern developer tools. Our TOML to JSON converter parses any valid TOML v1.0 file and transforms it into clean, properly structured JSON — perfect for programmatic processing, API integration, CI/CD pipelines, or converting between configuration ecosystems. Everything runs client-side in your browser, so your configuration files never leave your device.
How to Use TOML to JSON Converter
Paste or Upload TOML
Paste your TOML configuration directly into the editor, or drag and drop a .toml file (such as Cargo.toml, pyproject.toml, or config.toml) from your filesystem.
Review the Parsed Output
The converter instantly parses your TOML and displays the equivalent JSON in the output panel. Tables become nested objects, arrays of tables become arrays, and all TOML data types are accurately mapped.
Copy or Download JSON
Click the copy button to grab the JSON output to your clipboard, or download it as a .json file. The output is pretty-printed with 2-space indentation for readability.
Common Use Cases
Parse Cargo.toml for Dependency Analysis
Convert Rust Cargo.toml files to JSON for programmatic dependency analysis, version checking, automated security auditing, or integration with custom build tools and CI pipelines.
Process pyproject.toml for Python Tooling
Transform Python pyproject.toml files to JSON for tooling scripts, CI/CD processing, migrating between package managers (pip, poetry, uv), or generating dependency reports.
Hugo & Static Site Configuration
Convert Hugo config.toml to JSON for processing in build scripts, comparing configurations across environments, or migrating to a different static site generator that uses JSON config.
Cross-Format Migration
Convert TOML configs to JSON as an intermediate step for migrating to YAML, or for applications and platforms that only accept JSON configuration files.
Deno Configuration Processing
Parse Deno configuration files and workspace TOML settings into JSON for automated project scaffolding, monorepo management, or integration with other JavaScript tooling.
Infrastructure as Code
Convert TOML-based configuration (such as Netlify netlify.toml or Terraform config) to JSON for processing by infrastructure automation scripts and deployment pipelines.
Why Use Our TOML to JSON Converter?
Config Processing - Parse Cargo.toml, pyproject.toml, and deno.json into JSON for programmatic tooling and automation scripts
Full TOML v1.0 Support - Handles tables, arrays of tables, inline tables, multiline strings, and all native TOML data types correctly
Lossless Conversion - Every TOML value is accurately represented in JSON with correct type mapping, including integers, floats, booleans, and date-times
Zero Setup Required - No installation, no CLI tools, no dependencies
just paste and convert instantly in your browser
Privacy-First - Your configuration files never leave your device; all parsing happens client-side with zero server requests
Developer-Friendly Output - Pretty-printed JSON with proper indentation that is ready to use in scripts, APIs, or other tools
Key Features
Full TOML v1.0 syntax support
Tables and deeply nested tables
Arrays of tables ([[section]])
Inline tables and inline arrays
Date, time, and date-time type preservation as ISO 8601 strings
Multiline basic and literal string support
Integer and float precision handling
File upload with drag & drop
Pretty-printed JSON output with 2-space indentation
One-click copy to clipboard and .json download
100% Client-Side Processing
Your data never leaves your browser
All processing happens in your browser using JavaScript. Your data is never sent to our servers or any third party. Safe for sensitive data, API keys, and production configs.
Frequently Asked Questions
Quick answers to common questions about toml to json converter
TOML tables ([section]) become nested JSON objects. For example, [package] with name = "myapp" and version = "1.0" becomes {"package": {"name": "myapp", "version": "1.0"}}. Dotted keys like [database.primary] create nested objects: {"database": {"primary": {...}}}. This mapping preserves the hierarchical structure of your TOML configuration exactly.
TOML arrays of tables ([[array]]) are converted to JSON arrays of objects. Each [[array]] section becomes an element in the JSON array. For example, two [[products]] sections with different fields become [{"name": "Widget"}, {"name": "Gadget"}] under the "products" key. This is the correct semantic mapping that preserves TOML's intent.
No. TOML comments (# comment) are discarded during conversion because JSON does not have a comment syntax. The data values themselves are preserved exactly. If you need to keep comments as documentation, consider adding them as separate string fields in your JSON, or keep the original TOML as the source of truth.
TOML natively supports date, time, and date-time types. These are converted to ISO 8601 strings in JSON. For example, a TOML date 2024-01-15 becomes the string "2024-01-15", a TOML datetime 2024-01-15T10:30:00Z becomes "2024-01-15T10:30:00Z", and local times like 08:30:00 become "08:30:00". JSON does not have native date types, so string representation is the standard approach.
Yes. The converter handles TOML files of any reasonable size. Since all processing happens in your browser, performance depends on your device, but files up to several megabytes convert in under a second on modern hardware. For extremely large files, the parser streams the content efficiently.
TOML multiline basic strings (triple-quoted) and multiline literal strings are converted to regular JSON strings with newline characters (\n) embedded. TOML's line-ending backslash trimming is applied before conversion, so the JSON output reflects the actual string content as TOML intends it.
TOML is designed to be human-readable and writable, with support for comments, date types, and a cleaner syntax for nested structures. JSON is more universal and machine-readable, supported by virtually every programming language and API. TOML is preferred for config files that humans edit directly; JSON is preferred for data interchange and programmatic consumption. This converter bridges the gap between both worlds.
Yes! Use our JSON to TOML converter to go in the reverse direction. Note that round-tripping may not preserve comments or specific TOML formatting choices (like inline vs standard tables), but all data values will be preserved accurately.
Learn More
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