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Data Converter

Convert data between popular formats including JSON, XML, YAML, CSV, and TSV. Universal data transformation tool for developers, data analysts, and system integrators

Category: data
Use Case: API Integration, Data Migration, Format Transformation
Privacy: 100% browser-based

Recommended Settings

Pro Tips

  • Supports bi-directional conversion between all major data formats
  • JSON format is ideal for APIs and web applications
  • XML is commonly used in enterprise systems and legacy applications
  • YAML is human-readable and popular for configuration files
  • CSV/TSV are perfect for spreadsheets and database imports

Most Popular

JSON ↔ XML and CSV ↔ JSON are the most common conversions for API integration

When to Use This Tool

API Integration & Development

Convert between JSON, XML, and YAML formats when integrating different APIs, web services, and microservices. Transform data from legacy XML APIs to modern JSON endpoints, or convert JSON responses to YAML for configuration management.

Data Migration & ETL

Migrate data between systems using different formats. Convert database exports from CSV to JSON for NoSQL databases, transform XML data warehouses to CSV for analysis, or convert legacy data formats to modern standards during system upgrades.

Configuration Management

Transform configuration files between formats for different tools and platforms. Convert JSON configs to YAML for Kubernetes, transform XML settings to JSON for Node.js apps, or migrate YAML CI/CD configs to JSON for different platforms.

Data Analysis & Reporting

Convert API responses to CSV/TSV for spreadsheet analysis, transform JSON datasets to XML for reporting tools, or convert database query results between formats for different business intelligence and analytics platforms.

How It Works

1

Parse input data according to selected format (JSON.parse, XML DOM parser, YAML parser, CSV parser)

2

Validate input structure and detect format-specific errors

3

Convert parsed data to intermediate JavaScript object representation

4

Transform intermediate object to target format with proper encoding

5

Apply format-specific rules (XML escaping, YAML quoting, CSV delimiters)

6

Format output with proper indentation and structure

7

Generate downloadable file with correct MIME type and extension

100% Private

Files never leave your device. All processing happens locally in your browser.

Lightning Fast

Powered by Pure JavaScript for optimal performance on modern browsers.

Secure

No data collection, no tracking, no sign-up required.

Frequently Asked Questions

Which format conversions are supported?

All bi-directional conversions between JSON, XML, YAML, CSV, and TSV are supported. That's 20 different conversion paths! You can convert any supported format to any other format - JSON to XML, CSV to YAML, XML to JSON, etc.

Will complex nested data structures be preserved?

Yes for JSON ↔ XML ↔ YAML conversions which all support nested objects and arrays. CSV/TSV are flat formats, so nested structures will be flattened when converting to CSV/TSV, and array-of-objects structure is created when converting from CSV/TSV.

How does the tool handle data type conversion?

The tool intelligently preserves data types where possible. Numbers, booleans, and null values are detected and converted appropriately for each format. Strings are automatically quoted when needed (YAML keywords, special characters) to prevent parsing errors.

Can I convert large data files?

Yes, but all processing happens in your browser's memory. Files up to several MB work well on modern devices. For very large datasets (100MB+), consider using command-line tools or server-side processing for better performance.

What happens if my input data is invalid?

The tool validates input format and provides clear error messages. If JSON has syntax errors, XML is malformed, or CSV has inconsistent columns, you'll see a specific error message explaining what went wrong and where.

Is this tool suitable for production data pipelines?

This tool is perfect for development, testing, debugging, and one-time conversions. For production pipelines processing data continuously, use server-side libraries and ETL tools designed for automation, error handling, and scale.