Two structures, not two spellings
JSON has objects, arrays, strings, numbers, booleans and null. XML has named elements, attributes, text nodes and an ordered document tree. There is no universal, lossless rule that maps every JSON value to every XML document. A converter must choose how to represent a root name, attributes and repeated children. MultiVerto uses a single-property JSON object as the XML document root. The property name becomes an element name. A special @attributes object contains attributes, while repeated children are written from arrays. These are conventions of this tool, not names defined by the XML standard. Know the intended schema before applying the mapping to production data.
Follow an order record
Use the embedded example: an order object has @attributes with id equal to the string 7, an item array containing pen and book, and count equal to the number 2. The JSON-to-XML tool creates one order root, an id attribute, two item elements and a count element. The XML-to-JSON tool can read that simple document back. It groups repeated item elements into an array and stores the attribute under @attributes. However, element text is read as text: the count that began as JSON number 2 comes back as string 2. The visible digit matches, but the type does not. Compare parsed data structures, not just how the page looks.
- JSON: count is number 2; item is an array
- XML: count is element text; two item elements
- Back to JSON: count is string 2; inspect the schema
Where information changes
Attributes and child elements are distinct in XML, whereas a JSON object uses properties unless a mapping convention sets some aside. Repeated names can become arrays, but a single occurrence may become a scalar; this can surprise code expecting a stable array. JSON null, numeric precision and booleans need explicit schema decisions because XML text alone cannot tell them apart. Ordering may also matter to an XML consumer even if an application treats JSON object members as unordered. MultiVerto deliberately rejects XML documents mixing meaningful text with child elements, and it does not support every XML construct. It is suited to straightforward records, not arbitrary documents with complex mixed content.
Design the mapping before converting
When integrating two services, obtain an example document and the receiving schema. Decide whether a field belongs in an attribute or child element and how arrays should be represented. Specify how the receiver interprets number, boolean, empty string and missing field. If the source is XML, inspect namespaces and mixed content before using a lightweight mapper; a specialist XML parser may be necessary. If the source is JSON, ensure the root is one named object and keys are valid XML element names for this tool. Run a small representative case through both directions, then test the result in the actual receiving system rather than assuming visual similarity implies compatibility.
Check a round trip with purpose
Copy the example output to the linked XML-to-JSON converter and compare the reconstructed data with the original JSON. Focus on type, repeated elements, attribute placement and empty values. Change the item array to one element and check whether downstream software still expects an array. Try a count with a leading zero only if your schema permits it; text and number semantics differ. Keep the original alongside the converted artifact for audit. Formatting the XML can make nesting easier to inspect, but formatting does not correct a mapping error. A successful parse proves syntax is acceptable to a parser; it does not prove that the document expresses the business meaning expected by another application.