JSON to SQL Converter Online (2026)

Convert JSON to SQL INSERT statements. Generate database-ready queries from your JSON data instantly.

100% Secure – All processing happens locally in your browser

What is JSON to SQL Conversion?

JSON to SQL conversion transforms JSON data into SQL INSERT statements that can be executed directly in a database. Useful for migrating data, seeding databases, or importing API responses.

How to Use This Tool

  1. Paste your JSON array or object into the editor
  2. Click the "Convert to SQL" button
  3. Review the generated INSERT statements
  4. Copy or download the .sql file

Features

  • Generates standard SQL INSERT statements
  • Compatible with MySQL, PostgreSQL, SQLite
  • Proper SQL string escaping
  • Handles arrays and objects
  • Download as .sql file

Database Migration FAQs

How to import JSON to MySQL or PostgreSQL?

Follow these steps to import your JSON data into MySQL or PostgreSQL:

  1. Convert your JSON using this tool and select your target database dialect
  2. Copy the generated SQL INSERT statements or download the .sql file
  3. MySQL: Use phpMyAdmin (SQL tab), MySQL Workbench, or CLI: mysql -u username -p database_name < file.sql
  4. PostgreSQL: Use pgAdmin (Query Tool) or CLI: psql -U username -d database_name -f file.sql
  5. Verify data import by running SELECT queries on your table

Is my data secure during conversion?

Yes, your data is completely secure. All JSON to SQL conversion happens entirely in your browser using JavaScript. No data is ever sent to our servers or any third party. Your JSON remains private on your device.

Can I convert large JSON files?

Yes, this tool can handle large JSON files with thousands of records. The conversion happens locally in your browser, so performance depends on your device. For files over 10,000 records, the conversion may take a few seconds. We recommend testing with a sample first for very large datasets.

Trust, Transparency & Expert Verification

Methodology: ANSI SQL Standards

This JSON to SQL Converter is independently developed and maintained by Raviraj Bhosale (Founder, jsonformatters.com) to help developers generate clean, production-ready database scripts with full data privacy.

No Server-Side Transmission

Your SQL queries are generated 100% locally in your browser. We never transmit, log, or store your JSON data, ensuring your database schema and values remain completely confidential.

Standard SQL Compliance

The generator follows ANSI SQL and SQL-92 specifications, ensuring the generated INSERT statements are compatible with MySQL, PostgreSQL, and SQL Server.

Last Reviewed: February 2026 · Maintained by Raviraj Bhosale.

AuthorAuthor

Expertise Behind the Tool

Hello! I’m a Web Developer and the founder of jsonformatters.com. My goal is to build tools for developers that are not only fast, but also completely secure and privacy-focused.

Keeping modern 2026 web standards in mind, I optimized this tool using React and Next.js to deliver the best possible performance.

I believe in complete transparency when it comes to my coding skills and projects. You can learn more about my professional experience by connecting with me on my LinkedIn Profile.

Frequently Asked Questions (FAQ)

How do I store JSON data in SQL Server?

You can store JSON data in SQL Server by saving it in an NVARCHAR column and using built-in JSON functions for querying and manipulation.

How can I query JSON data in SQL Server?

SQL Server provides JSON functions like JSON_VALUE and OPENJSON to parse and query JSON data stored in NVARCHAR columns.

When was JSON support added to SQL Server?

JSON support was introduced in SQL Server 2016, allowing you to parse, query, and transform JSON data using built-in functions.

How do I convert JSON data to SQL table rows?

You can convert JSON to SQL table rows using functions like OPENJSON combined with CROSS APPLY to parse each element into table columns.

How do I update JSON data in SQL Server?

SQL Server allows updating JSON properties using functions like JSON_MODIFY to change values without replacing the entire JSON string.