JSON to SQL Converter

100% Free · Client-Side

Convert JSON arrays into SQL INSERT and CREATE TABLE statements. Supports MySQL, PostgreSQL, SQLite, and Generic SQL dialects with customizable table names.

Dialect:

Table Name:

Include CREATE TABLE

Bulk INSERT

JSON Input

SQL Output

Paste valid JSON array in the input area to see SQL statements

JSON to SQL INSERT Statement Converter

Easily convert your JSON data arrays into SQL INSERT and CREATE TABLE statements with our free online tool. Whether you're migrating data, seeding a test database, or importing large datasets, our converter supports popular dialects including MySQL, PostgreSQL, and SQLite. All conversion happens client-side, ensuring your data remains secure and private.

Multiple Dialects

Supports MySQL, PostgreSQL, SQLite, and Generic SQL with optimized syntax for each.

Schema & Data

Generates both CREATE TABLE and INSERT statements to set up your table and populate it in one go.

Customizable

Define your own table names and choose between individual or bulk INSERT statements.

Smart Inference

Automatically detects data types like integers, decimals, booleans, and strings from your JSON.

Bulk Operations

Use bulk INSERT support for optimized database operations and faster data loading.

100% Private

All conversion happens client-side in your browser. Your data never leaves your device.

Frequently Asked Questions

1. Does the converter support nested JSON objects?

Currently, the converter focuses on flat JSON arrays where each object represents a database row. Nested objects are converted to their string representation to maintain data integrity.

2. Is my JSON data uploaded to your servers?

No. Like all our tools at CampaignMorph, the JSON to SQL converter runs entirely in your web browser. Your data is processed locally and never reaches our infrastructure.

3. Can I customize the data types used in CREATE TABLE?

The tool automatically infers standard types like INT, DECIMAL, and TEXT based on your JSON values. You can easily adjust the generated SQL schema in the output area before running it on your database.