JSON to XML
Convert JSON data to XML format online.
How to use this tool
- 1Paste your JSON.
- 2Click Convert.
- 3Copy or download the XML.
About JSON to XML
JSON to XML maps a JSON structure into XML you can copy or download — useful when a legacy integration still speaks XML.
Modern services emit JSON; older enterprise APIs want XML. Converting locally keeps payloads off public converters.
Paste your JSON. Click Convert. Copy or download the XML. Processing stays in your browser.
Use it for adapter prototyping and support reproductions. Invalid XML names from JSON keys need sanitizing.
JSON keys that are invalid XML names need cleanup. Arrays and attributes have multiple mapping conventions. Check the root element your consumer expects.
Clear the fields when you are done, especially on a shared machine.
Code examples
JavaScript
function jsonToXml(obj, tag = "root") {
if (typeof obj !== "object") return `<${tag}>${obj}</${tag}>`;
const inner = Object.entries(obj)
.map(([k, v]) => jsonToXml(v, k))
.join("");
return `<${tag}>${inner}</${tag}>`;
}Python (xmltodict)
import json, xmltodict
obj = json.loads(json_string)
xml_str = xmltodict.unparse({"root": obj}, pretty=True)Frequently asked questions
Different tools use different definitions and parsers, so small gaps are common. JSON to XML applies recursive object-to-XML string building with one consistent browser-side rule set. Hidden characters, stricter syntax, or a different tokenizer usually explain the mismatch. Reduce the input to a minimal sample, then add pieces back until the difference appears. Match the rule your destination actually enforces.
Treat the error as a signal that this environment is stricter or configured differently. Browser APIs reject malformed structures early instead of guessing. Convert to a boring intermediate when it helps—plain UTF-8 text, PNG, WAV, or an unlocked PDF—then retry. If the intermediate works, the original encoding was the problem. Keep that minimal sample for the next regression check.
Runtimes disagree even when feature names match. Locales, parser strictness, codec builds, and library versions differ between your browser and CI. Export the exact bytes from JSON to XML, hash them, and compare in the pipeline. Align normalization steps so both systems see the same input. Use the browser result as a reference artifact, then make CI match it.
Desktop apps win on deep feature sets, batch farms, and specialized hardware paths. JSON to XML wins on zero install, private local processing, and speed for the everyday job on this page. Choose desktop software for multi-hour editorial work or exotic edge formats. Choose this tool when you need a correct result quickly without uploading. Many people do a quick pass here first, then open the heavy suite only if an edge case demands it.
Prefer JSON to XML whenever the input is personal, unpublished, customer-owned, or under NDA, because the core transform stays in your browser via recursive object-to-XML string building. Cloud services can still help for formats your browser truly cannot decode, but you must trust their retention policy. Strip secrets before any upload. Privacy is usually the reason to stay local—not a longer marketing checklist.
Start from the best original input you still have. Change only what the destination requires. Prefer lossless intermediates when you must convert twice. Because the tool is local, iterate in small steps: tweak one setting, re-run, compare. Spot-check a short sample before batching anything important.
No account is required for normal use. The core json to xml transform runs in your browser on your device using recursive object-to-XML string building. You get on-screen output, a copy action, or a download without a mandatory ToolBrigade upload for that step. Keep your browser updated. A few lookup utilities may call public reference APIs for live fields only—they still do not need your private documents.
Lighter text, code, calculator, and many image jobs work on modern phones. Large video encodes and huge PDFs are happier on a plugged-in laptop with more RAM. Fully client-side flows can continue offline once scripts are cached; live lookups still need network. If a run seems stuck, try a smaller sample, free memory by closing tabs, and confirm the input is not truncated. Prove the path on a short fixture before blaming the algorithm.