Online Table Editor

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Table Generator

How to Quickly Convert XML to JSON Array Online Format?

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

Upload XML files or paste XML data. The tool automatically parses XML structure and converts it to table format, supporting namespace, attribute handling, and complex nested structures.

2. Modify XML 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 JSON Array format with simple and efficient operation and precise reliable results.

3. Copy or download JSON Array with multiple export options supported

Generate multiple JSON format outputs: standard object arrays, 2D arrays, column arrays, and key-value pair formats. Supports beautified output, compression mode, custom root object names, and indentation settings, perfectly adapting to various API interfaces and data storage needs.

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 XML format and its application scenarios?

.xml

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.

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.

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