JSON to XML Converter Online - Bidirectional

JSON to XML: Bridging Modern APIs and Legacy Systems

Modern APIs speak JSON. The systems your data needs to reach — SOAP payment gateways, electronic invoicing platforms running UBL or cXML, government data exchanges, RSS feed consumers, Maven POM configurations, .NET application settings — still expect well-formed XML. You can write an XSLT stylesheet from scratch, deploy a transformation middleware service, or maintain a dedicated adapter layer whose sole job is format conversion. Or you can paste JSON here, get clean XML back, and spend your energy on the problem you were actually hired to solve.

The real friction in JSON-to-XML translation is not the mapping algorithm. It is the structural decisions that have no universally correct answer. Should {"id": "123"} produce <id>123</id> or <item id="123" />? Should arrays generate repeated sibling elements or a wrapped container node? Will special characters like ampersands in your data silently break the XML output without any warning? Do namespace prefixes survive the conversion round-trip? This converter handles all of these decisions predictably — precise control where you need it, sensible defaults everywhere else.

How to Use

The input field auto-detects your format without any manual switching. Drop a JSON object, a JSON array, or any valid XML document, and the converter selects the right conversion direction automatically. Click JSON to XML to generate nested XML elements from structured JSON data, or XML to JSON to parse an XML string into a JavaScript-style object you can inspect and manipulate programmatically. The bidirectional design supports round-trip validation workflows: convert one way, examine the output, switch back, adjust your input, and repeat until the structure is exactly what you need.

During JSON-to-XML conversion, JSON objects become nested XML elements with property names serving as tag names. Arrays produce repeated sibling elements — {"tags":["urgent","review"]} becomes <tags>urgent</tags><tags>review</tags>. This is the most natural mapping for XML consumers that expect repeating child elements at the same hierarchical level, and it avoids the structural ambiguity that wrapper container elements introduce.

For cases where attribute-based encoding is essential — common in SOAP messages, HTML fragments, and many configuration formats — prefix a JSON key with the @ character. The key "@id":"42" produces <item id="42"> instead of <id>42</id>. This follows the xml2js convention adopted by thousands of Node.js projects and gives you exact control over which values become elements and which become attributes, without requiring XSLT post-processing or manual attribute insertion.

All five XML-significant characters are properly escaped during conversion. Ampersands become &, less-than signs become <, greater-than become >, and double quotes inside attribute values are correctly encoded. A data value containing AT&T & Verizon in your input produces AT&T & Verizon in the output — standard, well-formed XML that any standards-compliant parser — libxml2, Apache Xerces, or browser-native DOMParser — will handle without errors. Namespace prefixes in element names, such as soap:Envelope, are preserved as-is throughout the conversion round-trip.

Real-World Scenarios

SOAP gateway integration. A developer needs to send a JSON order payload to a legacy payment processor that only accepts SOAP envelopes with specific namespace declarations. They paste the JSON into the tool, convert to XML in one click, then manually wrap the output inside the gateway's required <soap:Envelope> and <soap:Body> elements. No ESB deployment, no adapter microservice to maintain and monitor, no middleware layer at all.

RSS feed generation. A content team manages podcast metadata as JSON objects in their CMS, but distribution platforms — Apple Podcasts, Spotify, Google Podcasts — expect RSS 2.0 XML feeds. The team builds the channel structure with episode items, enclosure URLs, and publication dates as clean JSON objects, converts the entire feed to XML in one click, and uploads the result. CDATA wrapping and angle bracket escaping happen automatically inside the converter instead of being debugged manually line by line.

Build configuration pipeline. A DevOps engineer maintains project configuration settings as version-controlled JSON for readability and consistency across multiple projects. At build time, a CI pipeline step converts the JSON to Maven pom.xml or .NET app.config format. The source of truth stays human-readable JSON that any developer can understand at a glance; the build system receives exactly the XML it expects.

What Converts Cleanly (and What to Watch For)

The converter preserves structural fidelity at any nesting depth. XML comments and CDATA sections present in input XML are preserved in the JSON output as #comment and #cdata-section properties for inspection. If your target XML output requires explicit xmlns namespace declarations on the root element, add those manually after conversion — namespace bindings are an XML document-level concern that raw JSON data structures do not encode or carry forward.

XML mixed content — text content interleaved with child elements, common in XHTML and document-oriented formats like DocBook — is an uncommon edge case that may need manual review after conversion. For the overwhelming majority of structured data conversions (API payloads, configuration files, data interchange formats), the generated output is immediately ready to use without any editing.

When converting in the opposite direction — XML to JSON — the parser handles attributes, text content, and nested elements according to the same xml2js convention. XML attributes become @-prefixed JSON keys, text content becomes #text properties, and repeated child elements at the same level automatically become JSON arrays. This bidirectional consistency means you never need to memorize two different mapping rules; the same mental model applies in both directions.

Very large documents — JSON arrays containing tens of thousands of deeply nested objects — can be processed successfully, but browser memory sets a practical ceiling since both JSON.parse and DOMParser must load the entire data structure into RAM before transformation can begin. For streaming XML generation at massive scale, use command-line tools like xmlstarlet or Python's xml.etree.ElementTree — they are purpose-built for handling datasets where a browser-based converter hits its memory ceiling.

Privacy

Every step of the conversion — format auto-detection, JSON parsing, recursive tree walking, and XML serialization — executes entirely inside your browser using the native DOMParser API and JavaScript. Your data, including API responses containing authentication tokens, staging environment payloads, and internal configuration files with deployment-specific secrets, never leaves your device. No server round-trip, no upload, no logging.