XML to SQL Converter
Transform XML documents, SOAP payloads, and database export feeds into clean SQL schemas and multi-row INSERT queries in seconds.
At a glance
XML to SQL Converter is a free browser tool that converts XML documents, data feeds, and tags into SQL CREATE TABLE DDL and batch INSERT statements with smart column type inference. It generates tailored syntax for PostgreSQL, MySQL, and SQLite. All processing is local: nothing is uploaded, and no account is required.
XML to SQL Converter
100% Client-SideTransform XML documents, SOAP payloads, and database export feeds into clean SQL schemas and multi-row INSERT queries in seconds.
Next Steps & Related Data Conversion Tools
Export, transform, and bridge XML and SQL data across multiple development formats.
Convert XML files and RSS feeds into structured, formatted JSON documents.
Export XML repeating records into tabular spreadsheets and CSV files.
Transform XML configuration documents into human-readable YAML fixtures.
Convert YAML lists and objects into relational SQL schemas and queries.
Generate SQL table definitions and INSERT statements from JSON arrays.
Convert comma-separated tables and CSV files into SQL batch inserts.
How to Convert XML Documents to SQL Schemas & Queries
XML (Extensible Markup Language) remains a dominant format for enterprise reporting, legacy SOAP web services, e-commerce data feeds, and government filings. When migrating legacy systems or importing data feeds into modern relational databases such as PostgreSQL, MySQL, MariaDB, or SQLite, converting hierarchical XML tags into flat SQL tables and INSERT queries is a common prerequisite.
This tool executes entirely in your browser using pure JavaScript AST tokenization. It analyzes XML element structures, identifies repeating record entities, extracts element tags and node attributes, infers optimal SQL column data types, and outputs production-ready CREATE TABLE DDL and multi-row INSERT INTO statements.
Supported SQL Dialects & Data Type Mappings
Double-quote identifier escaping ("users"), SERIAL PRIMARY KEY synthetic auto-increment, native BOOLEAN (TRUE / FALSE), and NUMERIC(10,2) precision floats.
Backtick identifier escaping (`users`), INT AUTO_INCREMENT PRIMARY KEY, TINYINT(1) booleans (1 / 0), and DECIMAL(10,2) decimals.
Double-quote identifier escaping ("users"), INTEGER PRIMARY KEY AUTOINCREMENT, numeric REAL floating points, and ISO string dates.
Step-by-Step Conversion Workflow
- Load XML Content: Paste your XML snippet, drop an XML file, or select one of the built-in enterprise presets above.
- Configure Database Target: Choose your target SQL dialect (PostgreSQL, MySQL, SQLite, ANSI SQL) and specify your desired table name.
- Fine-Tune Generation Options: Toggle CREATE TABLE DDL, batch INSERT queries, tag attributes inclusion, and primary key creation.
- Copy or Export: Instantly copy generated SQL to your clipboard or download a clean
.sqlscript to run in psql, DBeaver, or MySQL Workbench.
Frequently Asked Questions
How does the converter infer repeating records from nested XML?
The parser generates an in-memory Abstract Syntax Tree (AST) and scans all element tags to count their frequency across document branches. Repeating direct child tags (such as <user>, <product>, or <item>) are automatically identified as table records. You can also manually specify any custom record tag using the Record Tag option.
Are XML element attributes captured as SQL table columns?
Yes. When the "Include Tag Attributes" option is enabled (default), attributes such as id="101" or sku="P100" on repeating record elements are automatically extracted alongside child elements as first-class SQL columns.
How are quotes and CDATA sections handled in string literals?
Single quotes inside XML elements (e.g., O'Reilly) are automatically escaped as double single-quotes ('O''Reilly') per standard SQL rules. CDATA sections (<![CDATA[...]]>) are extracted and decoded cleanly without breaking string delimiters.
How does automatic SQL column type inference work?
The engine evaluates every value in a column across all parsed rows. If all values represent integers, it assigns INTEGER / INT. Decimals trigger NUMERIC(10,2). Booleans map to BOOLEAN or TINYINT(1). Dates in ISO format (YYYY-MM-DD) map to DATE. Text exceeding 255 characters automatically expands to TEXT.
Is my proprietary XML data sent to external servers?
No. All XML parsing, AST construction, data type analysis, and SQL generation occur 100% locally in your browser's JavaScript sandbox. No network requests are made, ensuring complete confidentiality for customer databases, financial records, and proprietary feeds.
Why Use This XML to SQL Converter?
How to Use XML to SQL Converter
Paste XML Data or Load Preset
Paste your XML document into the input editor or load one of the built-in enterprise presets.
Configure SQL Dialect & Options
Select PostgreSQL, MySQL, or SQLite, set table name, and toggle DDL or INSERT options.
Copy or Download SQL Queries
Copy generated SQL CREATE TABLE and INSERT statements to your clipboard or download as a .sql file.
User Directory XML to SQL CREATE TABLE & INSERT
Extracts repeating user records, infers data types, and generates PostgreSQL CREATE TABLE DDL and INSERT queries.
<?xml version="1.0" encoding="UTF-8"?>
<users>
<user id="101">
<username>alex_dev</username>
<email>alex@example.com</email>
<is_active>true</is_active>
</user>
</users>
CREATE TABLE "users" (
"id" SERIAL PRIMARY KEY,
"username" VARCHAR(255),
"email" VARCHAR(255),
"is_active" BOOLEAN
);
INSERT INTO "users" ("id", "username", "email", "is_active") VALUES
(101, 'alex_dev', 'alex@example.com', TRUE);
Technical Specifications & Engine Details
| Specification | Details |
|---|---|
| Supported Formats | APPLICATION/XML, TEXT/XML, TEXT/PLAIN, .XML, .TXT → APPLICATION/SQL, TEXT/SQL, TEXT/PLAIN, .SQL |
| Execution Mode | 100% Client-Side In-Browser (client) |
| Browser Requirements | Modern browser with JavaScript enabled. |
| Performance Constraints | Runs client-side in browser memory. Performance and document size are bounded by available local device RAM. |
100% Client-Side Privacy Guarantee
Your files and XML data remain strictly on your local device. Zero data is transmitted to external servers.
Frequently Asked Questions
How does the converter infer repeating records from nested XML?
Are XML element attributes captured as SQL table columns?
How are quotes and CDATA sections handled in string literals?
How does automatic SQL column type inference work?
Is my proprietary XML data sent to external servers?
Methodology
Rankings and recommendations here are never paid for.
Last updated .