JSON ⇄ TOML Converter

Bidirectional conversion with validation, indentation control, and smart examples

JSON → TOML

TOML → JSON

JSON Input0 Bytes

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TOML Output

0 Bytes

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Features

Bidirectional

Convert JSON to TOML or TOML to JSON seamlessly

Real-time Validation

Instant syntax checking as you type

Monaco Editor

VS Code-powered editing with syntax highlighting

Indentation Control

Choose 2, 4, or 8 spaces for JSON output

Client-Side

100% browser-based, your data never leaves

Export

Download converted files with one click

Developer Tools

What is a JSON ⇄ TOML Converter?

A JSON ⇄ TOML converter transforms data between JSON (JavaScript Object Notation) and TOML (Tom's Obvious, Minimal Language). JSON is the lingua franca of web APIs and machine configs, while TOML offers a more human-readable format beloved by ecosystems like Rust (Cargo.toml), Python (pyproject.toml), and Deno.

This converter runs entirely in your browser—no data is transmitted to any server. Whether you're migrating configuration files, debugging API responses, or bridging polyglot toolchains, you can convert seamlessly while keeping sensitive data private.

How to Use

Choose Direction

Select JSON→TOML or TOML→JSON

Paste or Upload

Enter your data or load a file

Convert & Export

Click Convert, then copy or download

Common Use Cases

Config Management

Convert between human-friendly TOML configs and machine-readable JSON for CI/CD pipelines, Terraform, and Kubernetes.

Package Manifests

Work with Cargo.toml, pyproject.toml, deno.json, and other ecosystem-specific configuration formats.

Feature Flags

Maintain feature flags in readable TOML, export to JSON for LaunchDarkly, Unleash, or custom services.

ML Pipelines

Define hyperparameters in TOML for research, export JSON for Kubeflow, MLflow, or custom orchestrators.

Long-form Guides

Deep dives covering platform ops, ML pipelines, security, and more

Guide

Config bridge guide for JSON → TOML

Convert configs to TOML safely with type fidelity, comments guidance, and environment parity.

8 min read1,800 wordsConfigDevOpsInfra

Parity considerations

JSON lacks comments; TOML adds them. Document what becomes comments vs values.

Advanced Topics

Types: arrays, tables, inline tables; preserve numbers.
Dates: ISO8601 to TOML datetime; note timezones.
Env overlays: map JSON envs to TOML profiles.
Validation: reparse TOML; assert parity.

Reviewer Playbook

Compare keys and types across formats.
Ensure comments are non-authoritative.
Hash both files; store in change request.

Onboarding Labs

Convert app config; deploy to staging.
Add profile overlays; validate precedence.
Document migration checklist.

Metrics

Config drift reductions.
Rollback speed improvements.
Audit clarity on config intent.

Final Thoughts

Treat TOML as a human-friendly view of the same truth, not a divergence.

FAQ

Is my data secure?

Yes. Everything runs in your browser—no data is sent to any server. Powered by @iarna/toml.

What TOML features are supported?

Full TOML v1.0 spec including nested tables, arrays, inline tables, and all primitive types.

Can I convert large files?

Yes. The converter handles large files efficiently. For very large configs, consider splitting into modules.

Why choose TOML over JSON?

TOML supports comments, is more readable for humans, and has native datetime types. JSON is better for APIs and machine consumption.