JSON Converter
Convert JSON to CSV, XML, YAML, TypeScript interfaces, and more formats.
🔄 Converter Features
📚 Conversion Guides
Conversion Options
JSON Input
Paste your JSON data here
CSV Output
🔄 Supported Formats
💡 Conversion Tips
Try These Examples
Click any example to load it, then convert to different formats
User List (flat)
Simple array of objects — ideal for CSV conversion
[
{
"id": 1,
"name": "Alice Johnson",
"email": "alice@example.com",
"age": 28,
"role": "admin"
}...Nested Config
Nested objects — try converting to YAML for readability
{
"app": {
"name": "MyApp",
"version": "2.1.0",
"debug": false
},
"database": {
"host": "localhost...API Response
Typical REST API response — generate TypeScript interfaces
{
"status": "success",
"data": {
"user": {
"id": 123,
"name": "Alice",
"email": "alice@example...📚 Complete JSON Conversion Guide
Why Convert JSON to Other Formats?
JSON is the dominant data interchange format for web APIs and modern applications, but not every system speaks JSON. Spreadsheet applications need CSV, legacy enterprise systems expect XML, DevOps tools prefer YAML for configuration, and TypeScript projects need type definitions. Converting between these formats is a daily task for developers, data analysts, and system administrators.
JSON to CSV Conversion
CSV (Comma-Separated Values) is the universal format for tabular data. Spreadsheet applications like Excel, Google Sheets, and LibreOffice all support CSV import natively.
When to Convert JSON to CSV
- Data analysis: Export API data to spreadsheets for pivot tables, charts, and formulas.
- Reporting: Generate reports that non-technical stakeholders can open in Excel.
- Database import: Many databases support bulk CSV import but not direct JSON import.
- Data sharing: CSV is universally understood — no special tools needed to view it.
Limitations to Watch For
- Nested data gets flattened: CSV is inherently flat (rows and columns). Nested JSON objects become stringified or lost.
- Arrays of objects work best: A JSON array where each object has the same keys maps perfectly to CSV rows and columns.
- Data type information is lost: CSV stores everything as text. Numbers, booleans, and null values lose their type identity.
// JSON input (array of objects)
[
{"name": "Alice", "age": 30, "city": "NYC"},
{"name": "Bob", "age": 25, "city": "LA"}
]
// CSV output
name,age,city
Alice,30,NYC
Bob,25,LAJSON to XML Conversion
XML (eXtensible Markup Language) remains widely used in enterprise systems, SOAP APIs, RSS feeds, and document formats like SVG and XHTML.
When to Convert JSON to XML
- SOAP APIs: Many enterprise and government APIs still require XML request/response bodies.
- Configuration files: Java (Maven pom.xml, Spring beans), .NET (web.config), and Android use XML configs.
- Document standards: RSS, Atom, SVG, and XHTML are all XML-based formats.
- Data exchange: Industries like healthcare (HL7), finance (FIX), and government often mandate XML.
Key Differences from JSON
- Attributes vs. elements: XML supports both attributes and child elements; JSON only has key-value pairs. Our converter maps JSON keys to XML elements.
- Verbosity: XML is significantly more verbose than JSON due to opening and closing tags.
- Arrays: JSON arrays become repeated XML elements with the same tag name.
JSON to YAML Conversion
YAML ("YAML Ain't Markup Language") is a human-friendly data serialization format widely used for configuration files.
When to Convert JSON to YAML
- Kubernetes and Docker: Kubernetes manifests, Docker Compose files, and Helm charts use YAML.
- CI/CD pipelines: GitHub Actions, GitLab CI, CircleCI, and Travis CI all use YAML configuration.
- Application config: Ruby on Rails, Spring Boot, Ansible, and many frameworks prefer YAML for settings.
- Human editing: YAML supports comments and is easier to read and write by hand than JSON.
YAML Advantages Over JSON
- Comments: YAML supports
#comments; JSON does not allow comments at all. - No brackets or braces: YAML uses indentation to denote structure, reducing visual clutter.
- Multi-line strings: YAML has native support for multi-line text blocks using
|or>syntax. - Anchors and aliases: YAML can reference and reuse data within the same document.
JSON to TypeScript Interfaces
TypeScript interfaces provide compile-time type safety for JSON data. Generating interfaces from sample JSON eliminates manual type definition and ensures your types match your actual data structure.
When to Generate TypeScript Interfaces
- New API integrations: When you start consuming a new API, generate interfaces from sample responses to get type safety immediately.
- Rapid prototyping: Generate types from mock data to build type-safe code before the API is finalized.
- Documentation: TypeScript interfaces serve as self-documenting type specifications.
// JSON input
{"id": 1, "name": "Alice", "active": true}
// Generated TypeScript
export interface JsonData {
id: number;
name: string;
active: boolean;
}Conversion Best Practices
- Validate first: Always validate your JSON before converting. Invalid JSON will produce incorrect or empty output.
- Flatten before CSV: If your JSON has nested objects, consider flattening the structure before converting to CSV for better column mapping.
- Check special characters: Ensure strings with commas, quotes, or newlines are properly escaped in CSV output.
- Verify XML element names: JSON keys that start with numbers or contain special characters may produce invalid XML element names.
- Review generated types: Auto-generated TypeScript interfaces should be reviewed — optional fields may be marked as required if your sample data included them.
- Preserve encoding: Always use UTF-8 encoding when saving converted output to prevent character corruption.
🔗 Related Tools & Resources
Explore these related JSON tools and guides