XML to SQL Converter

About XML to SQL Converter

Convert XML data to SQL CREATE TABLE and INSERT statements with support for multiple database dialects. Perfect for database migrations, data imports, and SQL script generation.

Key Features

• Multi-Dialect Support: MySQL, PostgreSQL, SQLite, SQL Server
• CREATE TABLE: Automatic table schema generation
• INSERT Statements: Generate INSERT statements for all rows
• Type Detection: Automatic detection of INTEGER, DECIMAL, DATE, VARCHAR, TEXT
• Proper Quoting: Dialect-specific identifier quoting (`, ", [])
• String Escaping: Proper escaping of special characters
• NULL Handling: Empty cells become NULL values

How to Use

1. Input XML Data: Paste your XML data or upload an .xml file
2. Select SQL Dialect: Choose your target database system
3. Set Table Name: Specify the desired table name
4. Configure Options: Toggle CREATE TABLE statement inclusion
5. Review Output: The SQL statements generate automatically
6. Copy or Download: Use the Copy or Download button to save your .sql file

Supported SQL Dialects

• MySQL: Uses backticks (\`) for identifiers
• PostgreSQL: Uses double quotes (") for identifiers
• SQLite: Uses double quotes (") for identifiers
• SQL Server: Uses square brackets ([]) for identifiers

Supported XML Structures

The converter recognizes several common XML table patterns:

• <table><row>...</row></table>: Standard table structure
• <data><record>...</record></data>: Data records pattern
• <records><record>...</record></records>: Records collection
• Repeated Elements: Any root with repeated child elements
• Attributes: Also supports attribute-based data

Type Detection

The converter automatically detects SQL data types:

• INTEGER: Whole numbers like 42, -10, 0
• DECIMAL(10, 2): Numbers with decimals like 3.14, 99.99
• DATE: Dates in YYYY-MM-DD format
• VARCHAR(255): Text up to 255 characters
• TEXT: Text longer than 255 characters

Example Conversion

XML Input:

<?xml version="1.0" encoding="UTF-8"?>
<data>
  <record>
    <Name>John Doe</Name>
    <Age>28</Age>
    <Salary>75000.50</Salary>
  </record>
  <record>
    <Name>Jane Smith</Name>
    <Age>34</Age>
    <Salary>85000.00</Salary>
  </record>
</data>

MySQL Output:

-- Create table
CREATE TABLE `xml_data` (
  `name` VARCHAR(255),
  `age` INTEGER,
  `salary` DECIMAL(10, 2)
);

-- Insert data
INSERT INTO `xml_data` (`name`, `age`, `salary`) VALUES ('John Doe', 28, 75000.50);
INSERT INTO `xml_data` (`name`, `age`, `salary`) VALUES ('Jane Smith', 34, 85000.00);

Common Use Cases

• Database Migration: Import XML data into SQL databases
• Data Import: Generate SQL scripts for bulk data loading
• Schema Generation: Create table schemas from XML structure
• Testing: Generate test data SQL scripts
• ETL Processes: Convert XML to SQL for data pipelines
• Backup & Restore: Create SQL dumps from XML exports

Identifier Quoting by Dialect

• MySQL: \`column_name\` - Backticks
• PostgreSQL: "column_name" - Double quotes
• SQLite: "column_name" - Double quotes
• SQL Server: [column_name] - Square brackets

Column Name Sanitization

XML tags are automatically converted to valid SQL identifiers:

• Converts to lowercase with underscores
• Removes special characters and spaces
• Ensures names start with letters or underscores
• Prevents SQL reserved word conflicts

String Escaping

The converter properly escapes special characters in SQL strings:

• Single quotes (') are escaped as ('')
• Prevents SQL injection vulnerabilities
• Handles multi-line text correctly
• Preserves special characters in data

Privacy & Security

All conversions happen locally in your browser. Your XML data is never uploaded to any server, ensuring complete privacy and security.

FAQs

• What XML structure works best? XML with repeated record nodes (for example, multiple <record> elements) and consistent child tags per record generates the cleanest SQL tables.
• Can I change data types in the database? Yes. The tool infers reasonable defaults, but you can edit the CREATE TABLE statement (for example, changing VARCHAR(255) to TEXT or INT to BIGINT) before running it.
• Does it handle huge XML files? Very large XML documents may be slow in the browser. If the output lags, consider splitting the XML into smaller chunks and importing them separately.
• What about primary keys and indexes? The generated schema doesn’t add keys or indexes automatically. You can extend the CREATE TABLE statement with PRIMARY KEY, UNIQUE, or INDEX clauses as needed.
• Is my database data uploaded anywhere? No. All XML parsing and SQL generation run locally in your browser.