Universal Data Converter

Convert between JSON, YAML, TOML, XML, and CSV formats

Converted YAML will appear here

Format Comparison

JSON

Best for APIs, JavaScript apps, wide compatibility

YAML

Best for config files, Kubernetes, CI/CD pipelines

TOML

Best for Rust, Python config, clear syntax

What is Universal Data Converter?

A Universal Data Converter transforms data between different serialization formats such as JSON, YAML, TOML, XML, and CSV. Each format has its own strengths: JSON is the standard for web APIs and JavaScript applications, YAML is popular for configuration files in Kubernetes and CI/CD pipelines, TOML is used in Rust and Python projects, XML is common in enterprise systems and SOAP APIs, and CSV is the universal tabular format for spreadsheets and data analysis. Converting between them allows you to work with data in the format that best suits your use case — for example, converting a YAML config to JSON for an API payload, or transforming a JSON API response to CSV for analysis in Excel.

How to Use

  1. Select the input format (the format of your source data) from the buttons on the left side of the format panel.
  2. Select the output format (the format you want to convert to) from the buttons on the right side.
  3. Paste your data into the input field on the left side — the converter will attempt to parse it according to your selected input format.
  4. Click 'Convert' to transform the data, or use 'Swap' to reverse the conversion direction and convert back.
  5. Copy the converted output using the 'Copy Output' button for use in your project.

Why Use This Tool?

Convert between 5 popular data formats in a single tool — no need for separate converters or command-line utilities
Browser-based processing keeps your data private — nothing is sent to a server, making it safe for sensitive configuration files
Swap button lets you quickly reverse the conversion direction for round-trip testing
Configurable options for indentation, CSV delimiters, and XML root elements to match your project's style
Instant preview of converted output as you work, with clear error messages for invalid input

Tips & Best Practices

  • When converting from JSON to CSV, nested objects are serialized as JSON strings within cells — consider flattening your data first for cleaner CSV output
  • YAML is a superset of JSON, so any valid JSON is also valid YAML — this makes JSON-to-YAML conversion always safe
  • TOML is best for flat configuration structures — deeply nested data may not convert cleanly because TOML requires explicit section headers for each nesting level
  • Use the indent size option to control formatting of the output — 2 spaces is standard for YAML and JSON, while 4 spaces is common for XML

Frequently Asked Questions

What formats are supported for conversion?

The converter supports JSON, YAML, TOML, XML, and CSV. You can convert from any of these formats to any other. The parser handles the input format and the serializer produces the output format, so all 20 combinations are supported.

How are nested objects handled in CSV conversion?

CSV is a flat tabular format, so nested objects and arrays cannot be directly represented. When converting to CSV, nested objects are serialized as JSON strings within the corresponding cell. When converting from CSV, all values are treated as strings unless they can be parsed as numbers or booleans.

Is my data sent to any server during conversion?

No. All parsing and conversion happens entirely in your browser using JavaScript. Your data never leaves your device, ensuring complete privacy. This also means conversions are instant with no network latency.

When should I NOT use this converter?

Avoid this converter for very large files (over 10MB) as browser-based processing may be slow. Also avoid it when you need lossless round-trip conversion between formats — some format-specific features like YAML anchors, XML attributes, or TOML datetime types don't have direct equivalents in other formats and will be lost or simplified during conversion.

Why does my XML conversion look different?

XML uses a tree structure with element names, attributes, and text content, while JSON uses key-value pairs and arrays. The converter maps JSON objects to XML elements and JSON arrays to repeated elements, but this mapping is not always one-to-one. Attributes in XML have no direct JSON equivalent and may be lost during XML-to-JSON conversion.

Real-world Examples

Converting a Kubernetes YAML Config to JSON

A Kubernetes deployment YAML needs to be submitted as JSON to a custom API. The converter handles the transformation while preserving the nested structure.

Input
apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
spec:
  replicas: 3
Output
{
  "apiVersion": "apps/v1",
  "kind": "Deployment",
  "metadata": {
    "name": "my-app"
  },
  "spec": {
    "replicas": 3
  }
}

Converting a JSON API Response to CSV

A REST API returns an array of user objects. Converting to CSV makes it easy to open in Excel or Google Sheets for analysis.

Input
[{"name":"Alice","age":30,"city":"NYC"},{"name":"Bob","age":25,"city":"LA"}]
Output
name,age,city
Alice,30,NYC
Bob,25,LA

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