CM

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.

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.

Key Features

  • Supports MySQL, PostgreSQL, SQLite, and Generic SQL
  • Generates both CREATE TABLE and INSERT statements
  • Customizable table names
  • Bulk INSERT support for optimized database operations
  • Automatic data type inference (integers, decimals, booleans, strings)
  • 100% Client-side processing for privacy

Why JSON to SQL?

JSON is the standard format for API responses, but relational databases require SQL to store and query this data efficiently. Our tool bridges this gap, saving you from writing repetitive INSERT statements manually. It also helps in database design by inferring schema structures from your JSON sample.

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.