Code Beautify / MULTIVERTO
Map a JSON object with one root to XML elements.
Apply each text tool to the previous result.
01 / Guide
Parses a documented input subset and writes the corresponding output representation.
For complex syntax or production assets, verify the output with the destination application and a dedicated parser or build tool.
02 / Example
{"person":{"name":"Ada","message":"Hello"}}<person>
<name>Ada</name>
<message>Hello</message>
</person>03 / Guide
Map a JSON object with one root to XML elements. Parses a documented input subset and writes the corresponding output representation. The JSON input must have exactly one outer key to name the XML root. Child arrays produce repeated XML elements, and @attributes supplies attributes. Review generated element names, since JSON keys that are legal there are not always legal XML names.
An XML document is an ordered tree of elements and attributes, while a JSON object is a collection of named values. This converter uses a declared convention: one outer JSON key becomes the XML root; an @attributes object becomes attributes; a #text field becomes text; arrays become repeated child elements. In the reverse direction, repeated child names become arrays and plain element text becomes a JSON string. Numbers do not retain their numeric type after passing through XML text. Mixed text and children, declarations, comments, CDATA and document types are outside this simple mapping. Use a schema-aware transformer when exact XML semantics matter.
A change of data format is a mapping between two information models, not merely a change of punctuation. Begin with a tiny representative record that includes a non-ASCII value, a missing field or a nested value when relevant. Run the conversion and inspect how keys, ordering, numbers, null values, arrays and repeated items appear. Some target formats have no native equivalent for a source feature; the individual guide states the supported mapping. Feed the result to the intended receiver and, if possible, convert it back to compare the meaningful fields. For a bulk migration or an external contract, use a full parser and a schema test, because a plausible-looking sample does not establish complete interoperability.
Keep the original next to the output and test a small known example before handling a large document. Compare meaningful content, not only file size or the number of lines. Check names, quoted strings, non-ASCII characters, line endings and any repeated fields after the transformation. A syntactically readable result does not validate a schema, prove that code executes, or establish that data is safe to publish. This site processes the entered text in the browser and displays the result as text, but the copy you paste into another application will follow that application’s rules. If the tool rejects an input, do not remove unexplained characters merely to get an output: identify which construct is outside the supported subset and use a dedicated parser when necessary.