XML to JSON Converter
About XML to JSON Conversion
The XML to JSON Converter transforms XML (Extensible Markup Language) documents into JSON (JavaScript Object Notation) format. This is useful when working with APIs, databases, or applications that prefer JSON over XML.
How It Works:
The converter parses your XML and creates a JSON representation:
- XML elements become JSON objects
- Attributes are stored in an '@attributes' object
- Text content is stored as '#text' property
- CDATA sections are preserved as '#cdata'
- Repeated elements become arrays
- Pretty print option formats JSON for readability
Common Uses:
- Convert API responses from XML to JSON
- Transform configuration files
- Migrate data between systems
- Parse RSS/Atom feeds into JSON
- Process SOAP web service responses
- Convert XML data for JavaScript applications
Features:
- Preserves XML attributes
- Handles CDATA sections
- Supports nested elements and arrays
- Pretty print option for readable output
- Download converted JSON file
- All processing happens in your browser (privacy-first)
Privacy & Security:
All XML parsing and conversion happens entirely in your browser. Your XML data never leaves your device, ensuring complete privacy and security.
How It Works
XML (Extensible Markup Language) and JSON (JavaScript Object Notation) are both structured data formats, but they use fundamentally different approaches to represent hierarchical data. XML uses nested tags with attributes, while JSON uses nested objects and arrays with key-value pairs. Converting between them requires resolving structural differences.
The converter uses the browser's built-in DOMParser API to parse XML into a Document Object Model (DOM) tree. It then traverses this tree recursively, converting each XML element into a JSON object property. Element names become JSON keys, text content becomes string values, and child elements become nested objects.
Several mapping decisions affect the output: XML attributes can be mapped to special keys (like "@name" or "_attributes"), text content mixed with child elements needs a designated key (like "#text" or "_text"), and repeated sibling elements with the same name are automatically grouped into JSON arrays. These conventions are necessary because JSON has no direct equivalent of XML attributes or mixed content.
The converter handles edge cases including CDATA sections, namespaces, self-closing tags, comments (which are typically stripped), and deeply nested structures. The output is formatted with proper indentation for readability. All parsing and conversion happen in your browser using JavaScript — your XML data is never sent to any server.
The converter uses the browser's built-in DOMParser API to parse XML into a Document Object Model (DOM) tree. It then traverses this tree recursively, converting each XML element into a JSON object property. Element names become JSON keys, text content becomes string values, and child elements become nested objects.
Several mapping decisions affect the output: XML attributes can be mapped to special keys (like "@name" or "_attributes"), text content mixed with child elements needs a designated key (like "#text" or "_text"), and repeated sibling elements with the same name are automatically grouped into JSON arrays. These conventions are necessary because JSON has no direct equivalent of XML attributes or mixed content.
The converter handles edge cases including CDATA sections, namespaces, self-closing tags, comments (which are typically stripped), and deeply nested structures. The output is formatted with proper indentation for readability. All parsing and conversion happen in your browser using JavaScript — your XML data is never sent to any server.
Use Cases
1. API Migration & Modernization
Organizations migrating from legacy SOAP/XML-based APIs to modern REST/JSON APIs need to convert XML response structures to JSON equivalents. Understanding the JSON representation of existing XML data helps developers design new API schemas that maintain data compatibility.
2. Data Integration Between Systems
When one system exports XML and another imports JSON, the converter bridges the format gap. Enterprise data feeds, partner integrations, and ETL (Extract, Transform, Load) pipelines frequently require XML-to-JSON transformation for downstream processing.
3. Frontend Development
JavaScript applications work natively with JSON but need extra parsing for XML. Converting XML configuration files, API responses, or data exports to JSON simplifies frontend data handling, eliminates XML parsing libraries, and enables direct use of JavaScript object notation.
4. Configuration File Conversion
Legacy applications using XML configuration files can be modernized to JSON. Converting .xml config to .json preserves the data structure while enabling use with modern tools, JSON schema validation, and JavaScript-based configuration loaders.
5. Data Analysis & Scripting
Data analysts working with XML data exports from databases, government data portals, or scientific instruments convert to JSON for processing with Python, JavaScript, or other languages that handle JSON more naturally than XML. JSON is also more compact, reducing storage and processing overhead.
Organizations migrating from legacy SOAP/XML-based APIs to modern REST/JSON APIs need to convert XML response structures to JSON equivalents. Understanding the JSON representation of existing XML data helps developers design new API schemas that maintain data compatibility.
2. Data Integration Between Systems
When one system exports XML and another imports JSON, the converter bridges the format gap. Enterprise data feeds, partner integrations, and ETL (Extract, Transform, Load) pipelines frequently require XML-to-JSON transformation for downstream processing.
3. Frontend Development
JavaScript applications work natively with JSON but need extra parsing for XML. Converting XML configuration files, API responses, or data exports to JSON simplifies frontend data handling, eliminates XML parsing libraries, and enables direct use of JavaScript object notation.
4. Configuration File Conversion
Legacy applications using XML configuration files can be modernized to JSON. Converting .xml config to .json preserves the data structure while enabling use with modern tools, JSON schema validation, and JavaScript-based configuration loaders.
5. Data Analysis & Scripting
Data analysts working with XML data exports from databases, government data portals, or scientific instruments convert to JSON for processing with Python, JavaScript, or other languages that handle JSON more naturally than XML. JSON is also more compact, reducing storage and processing overhead.
Tips & Best Practices
• Understand attribute mapping conventions: XML attributes have no direct JSON equivalent. Common conventions prefix attribute keys with "@" or "_". Know how your target system expects attributes to be represented before converting.
• Watch for array detection: A single child element stays as an object property, but repeated elements with the same name become arrays. If your XML sometimes has one item and sometimes multiple, ensure the converter handles both cases consistently.
• Handle mixed content carefully: XML elements containing both text and child elements (mixed content) are complex to represent in JSON. The converter typically uses a "#text" key for the text portion, but this may not match your target schema expectations.
• Validate the output: After conversion, validate the JSON against your expected schema. XML's flexibility means the automatic conversion may not produce the exact JSON structure your application needs. Manual adjustments may be required.
• Strip unnecessary data: XML comments, processing instructions, and namespace declarations are often irrelevant in JSON context. Check that the converter removes these elements rather than including them as noise in the output.
• Consider data types: XML stores everything as strings. The converter may or may not automatically parse numeric values ("42" → 42) and booleans ("true" → true). Verify that data types in the output match your requirements.
• Watch for array detection: A single child element stays as an object property, but repeated elements with the same name become arrays. If your XML sometimes has one item and sometimes multiple, ensure the converter handles both cases consistently.
• Handle mixed content carefully: XML elements containing both text and child elements (mixed content) are complex to represent in JSON. The converter typically uses a "#text" key for the text portion, but this may not match your target schema expectations.
• Validate the output: After conversion, validate the JSON against your expected schema. XML's flexibility means the automatic conversion may not produce the exact JSON structure your application needs. Manual adjustments may be required.
• Strip unnecessary data: XML comments, processing instructions, and namespace declarations are often irrelevant in JSON context. Check that the converter removes these elements rather than including them as noise in the output.
• Consider data types: XML stores everything as strings. The converter may or may not automatically parse numeric values ("42" → 42) and booleans ("true" → true). Verify that data types in the output match your requirements.
Frequently Asked Questions
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