Data formats
YAML/TOML-Konverter
Validate and translate configs instantly. Paste once, get well-formed JSON, YAML, and TOML representations without leaking secrets.
🧪
Schema-less validation
Instant parse feedback.
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Offline friendly
Everything stays local.
Parser error
Detected: — · Root type: — · Keys: —
JSON
Await conversion.
YAML
Await conversion.
TOML
Await conversion.
Syntax Differences
| Feature | JSON | YAML | TOML |
|---|---|---|---|
| Comments | ❌ None | # comment | # comment |
| Strings | "double only" | bare or "quoted" | "basic" or 'literal' |
| Arrays | [1, 2] | - 1 (newline each) | [1, 2] |
| Nesting | {"a":{"b":1}} | Indentation | [a.b] sections |
When to Use
| JSON | APIs, data exchange, package.json, tsconfig.json |
| YAML | Config files, Kubernetes manifests, CI/CD pipelines, Docker Compose |
| TOML | Simple configs — Cargo.toml, pyproject.toml, Hugo |
YAML vs TOML vs JSON Compared
JSON is the most widely used format for data exchange due to its simplicity and native support in JavaScript. YAML (YAML Ain't Markup Language) is a human-friendly data serialization standard that uses indentation to represent structure, making it popular for complex configuration files. TOML (Tom's Obvious, Minimal Language) is designed to be easy to read and write due to its obvious semantics and is often used for project configuration. While JSON is strict and compact, YAML and TOML prioritize human readability and ease of manual editing.
How to Use This Tool
Paste your configuration data (JSON, YAML, or TOML) into the source text area on the left. The tool will automatically detect the source format, or you can select it manually from the dropdown. Click Validate only to check for syntax errors without performing a conversion. Click one of the conversion buttons (to JSON, to YAML, to TOML) to translate your data into that format. View the results in the output panels on the right and click Copy to save them to your clipboard.
Common Use Cases
Infrastructure as Code to convert between JSON and YAML when working with Kubernetes manifests, Docker Compose files, or AWS CloudFormation templates. Project configuration to migrate settings between package.json (JSON) and pyproject.toml or Cargo.toml (TOML). API prototyping to quickly visualize how a complex data structure looks in different formats. Legacy migration to translate old configuration files into modern formats while ensuring data integrity.
Pro Tips
Use YAML for CI/CD pipelines where readability of complex nested structures is essential for maintainability. Prefer TOML for application-level configuration files to provide a clean interface for end-users who might need to edit them manually. When converting from YAML to JSON, be aware of YAML type coercion issues (where NO can be interpreted as false) and ensure your data types are preserved correctly.