Overview

Format Converter is a universal data transformation tool that seamlessly converts structured data between JSON, YAML, TOML, and XML formats. Whether you're working with configuration files, API responses, or data interchange, this tool automatically detects the source format and converts it to your desired target format with proper syntax and structure preservation.

How to Use

Paste Your Data
Enter or paste your structured data in any format (JSON, YAML, TOML, or XML). The tool automatically detects the source format - no need to specify it.
Select Target Format
Choose your desired output format from the format selector. The tool supports JSON, YAML, TOML, and XML. For XML output, you can optionally specify a custom root element name.
Get Instant Results
The conversion happens automatically. The result shows the converted data with proper formatting, indentation, and syntax for the target format. Copy the result with one click.

Use Cases

Configuration File Migration

Convert configuration files when migrating between different tools or frameworks. For example, convert Docker Compose YAML to JSON for programmatic manipulation, or transform package.json to YAML for better readability.

API Response Transformation

Transform API responses between different formats for integration with various systems. Convert JSON REST API responses to XML for SOAP services, or transform XML data to JSON for modern JavaScript applications.

Data Format Standardization

Standardize data formats across your organization. Convert legacy XML configurations to modern YAML or TOML formats that are more human-readable and easier to maintain.

Documentation and Examples

Generate documentation examples in multiple formats. Create API documentation that shows request/response examples in both JSON and XML to support different client preferences.

Cross-Platform Compatibility

Ensure data compatibility across different programming languages and platforms. Convert between formats that are natively supported by different ecosystems (JSON for JavaScript, YAML for Ruby/Python, TOML for Rust).

Frequently Asked Questions

What's the difference between YAML and TOML?

YAML is more flexible and supports complex nested structures with minimal syntax, making it popular for configuration files (Kubernetes, Docker Compose). TOML is more explicit and stricter, designed to be unambiguous and easy to parse, favored by Rust projects (Cargo.toml) and Python tools (pyproject.toml).

Will my data structure be preserved during conversion?

Yes, the tool preserves your data structure, including nested objects, arrays, and primitive types. However, format-specific features may be lost (e.g., YAML anchors/aliases, XML attributes in some cases, TOML table arrays). Comments are generally not preserved across formats.

Why would I convert JSON to YAML?

YAML is more human-readable and requires less syntax (no curly braces or quotes for most strings). It's preferred for configuration files that humans frequently edit, like CI/CD pipelines (GitHub Actions, GitLab CI), infrastructure-as-code (Ansible, Kubernetes), and application configs.

Can I convert XML with attributes?

XML attributes are converted to object properties with an @ prefix (e.g., <item id="1"> becomes {item: {"@id": "1"}}). This is a common convention for representing XML attributes in JSON-like formats. When converting back to XML, these properties are restored as attributes.

Which format is best for my use case?

JSON: Best for APIs and web applications (universal support). YAML: Best for human-editable configs (CI/CD, containers). TOML: Best for structured configs needing strict validation (Rust, Python tools). XML: Best for legacy systems, SOAP APIs, and document markup (RSS, SVG).

Concept Notes

Trade-offs across data formats

Format shifts are structural, not lossless: JSON ignores comments, YAML anchors/aliases are often dropped, and XML attributes may flatten into keys. XML also mandates a single root and stores values as strings, so reconverting may require restoring types. Treat conversions as a readability or interoperability aid rather than a perfect round trip.