Paste your JSON Array data or drag JSON files here

.json
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How to Quickly Convert JSON Array to XML Online Format?

1. Upload, paste, or extract JSON Array from web pages with multiple input methods supported

Upload JSON files or paste JSON arrays. Supports automatic recognition and parsing of object arrays, nested structures, and complex data types. The tool intelligently validates JSON syntax and provides error prompts.

2. Modify JSON Array using our professional online table editor

Edit data using our professional online table editor. Supports deleting empty row data, removing duplicate rows, transposing data, sorting by rows, regex find & replace, and real-time preview. All changes will automatically convert to XML format with simple and efficient operation and precise reliable results.

3. Copy or download XML with multiple export options supported

Generate XML output that complies with XML standards. Supports custom root elements, row element names, attribute modes, CDATA wrapping, and character encoding settings. Ensures data integrity and compatibility, meeting enterprise-level application requirements.

Note: Our online conversion tool uses advanced data processing technology, runs completely in the browser, ensures data security and privacy, and does not store any user data.

What is JSON format and its application scenarios?

.json

JSON (JavaScript Object Notation) is the standard table data format for modern web applications, REST APIs, and microservice architectures. Its clear structure and efficient parsing make it widely used in front-end and back-end data interaction, configuration file storage, and NoSQL databases. Supports nested objects, array structures, and multiple data types, making it indispensable table data for modern software development.

What is XML format and its application scenarios?

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XML (eXtensible Markup Language) is the standard format for enterprise-level data exchange and configuration management, with strict syntax specifications and powerful validation mechanisms. Widely used in web services, configuration files, document storage, and system integration. Supports namespaces, schema validation, and XSLT transformation, making it important table data for enterprise applications.

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