How does it decide what a row is?

It looks for repeated sibling elements, either directly under the root or one level under a single wrapping element, the same row-detection the XML to CSV Converter uses. If your XML isn't shaped that way, the whole document becomes a single row.

How are nested fields named as columns?

Nested element paths are joined with underscores, so ... becomes a column named address_city.

Are values escaped safely?

Single quotes inside string values are doubled ('') per standard SQL escaping, and numbers/booleans render as literals rather than quoted strings. This produces valid literal SQL, but for production code you should still use parameterized queries rather than pasting generated literals directly.

Can I set the table name?

Yes, there's a text field for it; it defaults to table_name if left as-is.

XML to SQL Converter - Generate INSERT Statements Online

Overview

Introduction

Seeding a database table from an XML export usually means writing INSERT statements by hand.

This tool generates them directly from repeated XML elements.

What Is XML to SQL Converter?

A code-generation tool that detects row-shaped structure in XML, the same way the XML to CSV Converter does.

It flattens each row's fields and emits one INSERT INTO statement per row.

How XML to SQL Converter Works

XML is converted to JSON, repeated row elements are unwrapped into an array, and each row is flattened into underscore-joined column names.

Every row then becomes its own INSERT INTO table (columns) VALUES (...); statement with SQL-escaped literal values.

When To Use XML to SQL Converter

Use it to quickly seed a test database table from an XML fixture or export.

It's also useful for producing sample data for a database migration script.

Often used alongside SQL to XML Converter, XML to CSV Converter and XML to JSON Converter.

Features

Advantages

Generates one statement per row automatically.
Handles nested fields via underscore-joined column names.
Runs entirely client-side.

Limitations

Not a full SQL dialect generator, output is plain ANSI-ish INSERT syntax without dialect-specific quoting.
Generated literals are meant for quick seeding/testing, not as a substitute for parameterized queries in production code.

Examples

Generating INSERTs from repeated rows

Input

<rows><row><id>1</id><name>Ada</name></row><row><id>2</id><name>Alan</name></row></rows>

Output

INSERT INTO users (id, name) VALUES ('1', 'Ada');
INSERT INTO users (id, name) VALUES ('2', 'Alan');

Each repeated <row> element becomes its own INSERT statement.

Best Practices & Notes

Best Practices

Review generated statements before running them against a real database, especially column names for deeply nested fields.
Use XML to a Table first to preview the row/column shape before generating SQL.
Set the table name field explicitly rather than relying on the table_name default.

Developer Notes

Row detection reuses the same `extractXmlRows` helper as `xml-to-csv-converter.ts`, so both tools agree on what counts as a row for identical input.

XML to SQL Converter Use Cases

Seeding a test database from an XML fixture
Quickly generating INSERT statements from an XML export
Producing sample data for a database migration script

Common Mistakes

Running generated literals directly against production without review, always sanity-check column names and values first.
Assuming column names match your database schema exactly, they're derived from XML tag names and may need renaming.

Tips

Use XML to a Table first to preview the row/column shape before generating SQL.
Check the FAQ above if the output doesn't look like what you expected.

XML to SQL Converter