Convert XML to SQL online. Paste or upload XML and transform it into SQL INSERT statements with formatting options, table name control, and live preview.
How to Use:
- Paste your XML content into the XML Input box or import a
.xml
,.txt
, or.log
file using the Choose File button - The tool automatically converts the XML into SQL
INSERT
statements - Use the Table name input to set the destination table in your SQL output
- Toggle Pretty format to control line breaks between insert rows
- Enable Trim values to remove extra whitespace from field values
- Toggle Maximize output to expand the SQL output area vertically
- Click Convert to manually trigger conversion (or just type to live-update)
- Use Copy Output to copy SQL to clipboard
- Click Export to File to save the generated SQL
- Press Clear All to reset everything and restore the demo XML
What Convert XML to SQL can do:
Convert XML to SQL takes structured XML and turns it into INSERT INTO … VALUES (…) statements on the fly. You get control over formatting, whitespace, and even the target table name, all in one click. Whether you’re importing config data, prepping test inserts, or reverse engineering XML exports into SQL-ready scripts, this tool gets it done instantly. It works entirely in your browser, gives you live previews, and makes exporting or copying super easy.
Example:
Input XML:
<users>
<user>
<id>1</id>
<name>Alice</name>
<email>[email protected]</email>
</user>
<user>
<id>2</id>
<name>Bob</name>
<email>[email protected]</email>
</user>
</users>
Output SQL:
INSERT INTO users (id, name, email) VALUES
('1', 'Alice', '[email protected]'),
('2', 'Bob', '[email protected]');
Common Use Cases:
Convert XML to SQL is perfect for developers moving XML exports into a database, teams importing structured records into SQL tools, or anyone converting API results, logs, or settings into database-ready statements. It’s a fast, browser-based way to flatten XML and get working SQL code instantly.
Useful Tools & Suggestions:
Before converting, run Flatten an XML to simplify complex trees into row-friendly data. And once you’re done, try Convert SQL to CSV if you need to check or share the output in a more visual format.