JSON Converter
Convert, validate, and format JSON data with ease. Supports minification, beautification, and tree view.
What Is JSON?
JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format that is easy for humans to read and write and easy for machines to parse and generate. Defined in RFC 8259, JSON has become the dominant format for data exchange on the web, largely replacing XML in modern APIs.
JSON supports six data types: strings, numbers, booleans
(true/false), null, objects (key-value pairs),
and arrays (ordered lists). Its simplicity and universality make it the format of choice
for REST APIs, configuration files, NoSQL databases like MongoDB, and inter-service communication.
What This Tool Does
This free JSON converter offers multiple operations in one place:
- Validate — Check whether your JSON is syntactically correct and pinpoint errors.
- Beautify — Format compact JSON with proper indentation for readability.
- Minify — Remove whitespace and line breaks to reduce file size for production use.
- Stringify — Escape and wrap JSON as a string literal, ready for embedding in code.
- Convert to XML — Transform JSON into equivalent XML structure.
- Convert to CSV — Flatten JSON arrays into comma-separated values for spreadsheets.
- Convert to YAML — Convert JSON into human-friendly YAML notation.
- Convert to Base64 — Encode JSON as a Base64 string for safe transport.
How to Use
- Paste your JSON into the input area, or drag and drop a .json file onto the drop zone.
- Click the operation you need — Validate, Beautify, Minify, Stringify, or choose a format from the Convert dropdown.
- View the result in the output area below. Copy it to your clipboard or save it.
Common JSON Use Cases
- API Development: JSON is the standard request and response format for REST and GraphQL APIs.
- Configuration Files: Tools like VS Code, ESLint, Babel, and npm use
.jsonfiles for settings. - Data Storage: NoSQL databases (MongoDB, CouchDB, Firebase) store documents as JSON or BSON.
- Data Exchange: Microservices and front-end/back-end communication rely on JSON payloads.
- Logging: Structured logging formats like JSON Lines make logs machine-parseable.
JSON vs. XML vs. YAML
| Feature | JSON | XML | YAML |
|---|---|---|---|
| Readability | Good | Verbose | Excellent |
| File Size | Compact | Large | Compact |
| Comments | Not supported | Supported | Supported |
| Schema Validation | JSON Schema | XSD / DTD | Limited |
| Common Use | APIs, configs | Enterprise, SOAP | DevOps configs |
Frequently Asked Questions
JSON.parse() converts a JSON string to a JS object; JSON.stringify() does the reverse.