XConvert
Downloads
Pricing

Convert XML to JSON Online

Upload an XML file and convert it to a JSON file quickly in your browser for easy use in apps, APIs, and data workflows.

Read Only

How to Convert XML to JSON Online

  1. Upload Your XML File: Drag and drop an .xml file, click "Add Files," or paste raw XML directly into the input panel. The tool accepts well-formed XML with attributes, namespaces, CDATA sections, mixed content, and deeply nested elements. Batch upload of multiple files is supported.
  2. Choose JSON Output: JSON is preselected as the target format. The converter runs in your browser using client-side JavaScript — no XML payloads are uploaded to any server, which matters for SOAP responses, healthcare HL7, or financial FpML that you cannot share with third parties.
  3. Set Indentation and Output (Optional): Pick 2-space, 3-space, or 4-space indentation for pretty-printed JSON, or compact single-line output for minimum byte size. Newer browsers preserve insertion order in objects, so JSON keys come out in the same order as your XML elements.
  4. Convert and Download: Click "Convert." Copy the JSON to your clipboard with one click or download it as a .json file. Need the reverse direction? Use JSON to XML. For other transformations, see XML to YAML or JSON to CSV.

Why Convert XML to JSON?

XML dominated data interchange through the 2000s — SOAP web services, enterprise integration, HL7 healthcare, FpML finance, SVG graphics, RSS feeds, and OOXML documents all use it. JSON took over the API layer from the mid-2010s onward because it parses natively in JavaScript, has typed primitives (number, boolean, null) that XML lacks, and produces 30–50% smaller payloads for the same data. Most modernization projects start with an XML-to-JSON conversion step.

  • REST API modernization — Replacing a SOAP service with a REST/JSON endpoint usually means translating the existing XML response shape into JSON one element at a time. Getting the attribute handling right at the boundary saves weeks of downstream client refactoring.
  • Mobile and frontend consumption — iOS (Swift Codable), Android (Kotlin kotlinx.serialization), and every JS framework (React, Vue, Angular) ship JSON parsers in their standard library. XML requires extra dependencies and roughly 2–3x the parsing time on phone hardware.
  • Document database loading — MongoDB, DynamoDB, Couchbase, Firestore, and Elasticsearch all store JSON or BSON natively. Loading XML data warehouses or XML-typed columns into these stores requires conversion first.
  • Data analysis with Python or pandas — pandas.read_json() and Polars handle JSON in one line; XML needs xml.etree.ElementTree plus manual flattening. Converting upstream lets data scientists skip the boilerplate.
  • Configuration and CI/CD — Tools like Terraform, GitHub Actions, Helm, and most cloud SDKs read JSON or YAML, not XML. Legacy Ant/Maven XML configs often get converted to JSON to feed newer pipelines.
  • Public-data reuse — Many government feeds (NWS weather, SEC EDGAR, USGS earthquakes) still publish XML. Converting to JSON makes them consumable by dashboards, notebooks, and JavaScript visualizations without bespoke parsers.

XML vs JSON — Format Comparison

Property XML JSON
Year standardized W3C Rec 1998 (XML 1.0) ECMA-404 (2013), RFC 8259 (2017)
Syntax Nested tagged elements Key-value pairs and arrays
Native data types All values are strings string, number, boolean, null, object, array
Attributes on elements Yes No native concept
Namespaces Full URI-based namespaces Not supported
Comments <!-- ... --> supported Not in the spec (JSON5/JSONC extend it)
Mixed content (text + child elements) Supported No clean representation
CDATA sections Supported Plain string
Schema language XSD, DTD, RelaxNG JSON Schema
Typical payload size Larger (tags repeated, no native ints) 30–50% smaller for the same data
MIME type application/xml, text/xml application/json
Primary use today SOAP, SVG, RSS, Office Open XML, legacy enterprise REST APIs, configs, NoSQL, mobile, web

Attribute and Namespace Handling — Quick Guide

XML-to-JSON conversion is intrinsically lossy because XML has features JSON cannot express directly. The table below summarizes how each tricky XML construct is typically represented in JSON.

XML construct Common JSON representation Notes
Element with text only — <title>Hello</title> "title": "Hello" Cleanest case
Repeated siblings — <item>A</item><item>B</item> "item": ["A", "B"] Single occurrence becomes a string, not a 1-element array — known inconsistency
Attribute — <price currency="USD">29.99</price> "price": {"@currency": "USD", "#text": "29.99"} @ prefix is the de-facto convention (Spark, Newtonsoft, xml2js); #text holds the body
Namespace prefix — <soap:Body> "soap:Body": {...} Preserve to avoid collisions; strip for cleaner keys when there is only one namespace
CDATA — <![CDATA[<script>...</script>]]> "key": "<script>...</script>" Wrapper drops; content preserved verbatim
Mixed content — <p>Hello <b>world</b></p> {"p": {"#text": ["Hello ", ""], "b": "world"}} No canonical mapping; positional info often lost
Comments — <!-- ... --> Dropped JSON has no comment syntax (JSONC/JSON5 do, but not standard JSON)
Processing instructions — <?xml-stylesheet ... ?> Dropped Same as comments
DTD / XSD references Dropped Schemas are not embedded; validate with JSON Schema separately
Boolean / number values String "true" or "42" unless type-coerced Some tools accept a _type hint to coerce to native types

Frequently Asked Questions

Why did my XML attributes disappear in the JSON output?

Most converters discard attributes by default to keep output keys clean. To preserve them, choose a mode that maps attributes to keys prefixed with @ (the convention used by xml2js, Spark, Newtonsoft, and the Badgerfish convention). For example, <user id="5">Alice</user> then becomes {"user": {"@id": "5", "#text": "Alice"}} rather than the lossy {"user": "Alice"}. If your XML relies on attributes (SVG, XHTML, SOAP, Atom), always enable attribute preservation.

How are XML namespaces converted to JSON?

JSON has no concept of namespaces, so namespace-qualified element names like <soap:Body> are either kept as literal keys ("soap:Body") or stripped to just the local name ("Body"). Stripping is convenient for single-namespace documents but causes silent key collisions when two namespaces define the same local name — for example, an XHTML <title> and an Atom <title> would overwrite each other. Preserve prefixes when working with SOAP envelopes, multi-vocabulary feeds, or anything from a WSDL-defined service.

Why does a single repeated element become a string instead of a one-element array?

This is the most common XML-to-JSON gotcha. <users><user>Alice</user></users> produces {"users": {"user": "Alice"}} — a string — while <users><user>Alice</user><user>Bob</user></users> produces {"users": {"user": ["Alice", "Bob"]}} — an array. The conversion is consistent given the XML, but downstream code that expects users.user.map(...) will crash on the single-element case. Either force specific elements to always be arrays (most production converters support this), or write client code that normalizes with Array.isArray(x) ? x : [x] before iterating.

Will the JSON values be typed as numbers and booleans, or strings?

By default, all XML text values are strings, because XML itself has no type system — <count>42</count> and <count>"42"</count> are indistinguishable. To get {"count": 42} rather than {"count": "42"}, the converter has to guess types or be told via a schema. Some tools support an inline _type hint or a JSON Schema annotation. If type safety matters, validate the JSON with a schema and coerce explicitly rather than relying on the converter to guess.

What happens to XML comments and processing instructions?

They are dropped. Standard JSON has no syntax for either, so converters silently strip <!-- ... --> comments and <?xml-stylesheet ... ?> style processing instructions. If your XML uses comments to carry configuration hints, version notes, or developer documentation, extract them with a separate pass before converting. JSON5 and JSONC support comments, but consumers expecting standard JSON will reject them.

How does the converter handle CDATA sections?

CDATA wrappers are stripped and their content is emitted as a plain JSON string. <script><![CDATA[if (a < b) { return true; }]]></script> becomes {"script": "if (a < b) { return true; }"}. The < and & inside CDATA are JSON-escaped automatically — JSON string escaping handles them safely. The explicit "do not parse as markup" signal is lost, which only matters if a downstream consumer was specifically looking for it (rare).

Can the conversion be lossless and reversible?

Not without a convention. JSON cannot represent every XML construct natively, so any round trip XML → JSON → XML depends on the mapping conventions used. Conventions like Badgerfish and JsonML are designed for round-trip fidelity, but they produce verbose JSON that does not look like idiomatic data ("attribute namespaces become arrays of arrays"). For most real projects the goal is one-way: take the data fields out of XML and represent them naturally in JSON, accepting that comments, processing instructions, and exact whitespace will not survive.

Can I convert large XML files like database exports or government feeds?

Yes — the conversion happens in your browser, so the practical ceiling is your device's RAM. Most modern laptops handle 50–100 MB of XML without trouble; phones get sluggish above ~20 MB. For multi-gigabyte files (full Wikipedia dumps, SEC EDGAR archives, OpenStreetMap planet files), use a streaming command-line tool like xq, jq with xml2json, or a SAX/StAX parser in code — loading the whole tree into memory will fail regardless of converter.

Is my XML data uploaded anywhere when I use this tool?

No. The XML-to-JSON converter runs entirely client-side in your browser using JavaScript. Your file is read into memory locally, parsed, and the JSON is built and rendered without any network request carrying your content. This matters for SOAP envelopes containing PII, HL7 healthcare messages under HIPAA, FpML or FIX financial data, or anything else where uploading to a third-party server is not an option.

What is the difference between this and JSON to XML?

Direction. Use this page to take XML data and produce JSON for use in modern REST APIs, mobile apps, or NoSQL stores. Use JSON to XML for the reverse — for example, when an existing JSON API needs to feed a SOAP service or a legacy XML-based enterprise system. Round-tripping XML → JSON → XML may not return the byte-identical original because of comment loss, namespace handling, and attribute representation, so test the round trip if it matters.

Related Generate tools
Hash Generator
Related Convert tools
Convert Json To XmlConvert Xml To YamlConvert Yaml To JsonConvert Json To YamlConvert Yaml To XmlConvert Html To Markdown

Image Tools

Image CompressorCompress JPEGCompress PNGCompress GIFCompress WebPImage ConverterJPG ConverterImage Resizer

Video Tools

Video CompressorCompress MP4MP4 to GIFVideo to GIFVideo ConverterMP4 ConverterVideo Cutter

Audio Tools

Audio CompressorCompress MP3Compress WAVAudio ConverterMP3 ConverterFLAC to MP3Audio Cutter

Document Tools

Compress PDFMerge Images to PDFSplit PDFPDF to JPGUnzip FilesRAR Extractor
© 2026 XConvert.com. All Rights Reserved.
About UsPrivacy PolicyTerms of ServiceContactHelp Us Grow