Paste your XML data or drag XML files here

Online Table Editor

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Table Generator

How to Quickly Convert XML to Insert SQL 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 Insert SQL format with simple and efficient operation and precise reliable results.

3. Copy or download Insert SQL with multiple export options supported

Generate standard SQL INSERT statements and table creation statements. Supports multiple database dialects (MySQL, PostgreSQL, SQLite, SQL Server, Oracle), automatically handles data type mapping, character escaping, and primary key constraints. Ensures generated SQL code can be executed directly.

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 SQL format and its application scenarios?

.sql

SQL (Structured Query Language) is the standard operation language for relational databases, used for data query, insert, update, and delete operations. As the core technology of database management, SQL is widely used in data analysis, business intelligence, ETL processing, and data warehouse construction. It's an essential skill tool for data professionals.

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