Which SQL databases are supported?

We support MySQL, PostgreSQL, SQL Server (T-SQL), SQLite, and Oracle. Each database has slightly different syntax for quoting identifiers and handling data types.

How are data types handled?

Strings are quoted appropriately for each database, numbers remain unquoted, booleans convert to TRUE/FALSE or 1/0 depending on the database, and null values become NULL.

Can I generate CREATE TABLE statements?

Yes! Enable the "Include CREATE TABLE" option to generate a basic table structure based on your JSON data. You may need to adjust data types for production use.

Is there a limit on data size?

Since all processing happens in your browser, there's no server limit. However, very large datasets may be slow. For production bulk imports, consider using database-specific tools.

Free JSON to SQL Converter

New

Generate SQL INSERT statements from JSON data for MySQL, PostgreSQL, SQL Server, SQLite, Oracle.

Database:

Table name:

Single INSERT

Include CREATE TABLE

JSON Input

Paste JSON array or object

SQL Output

MySQL

Database-Specific Tips

MySQL

Uses backticks for identifiers. Supports multi-row INSERT.

PostgreSQL

Uses double quotes. Native BOOLEAN type. Consider COPY for bulk imports.

SQL Server

Uses square brackets. BIT for booleans. Consider BULK INSERT for large data.

SQLite

Flexible typing. Uses double quotes. Good for development/testing.

Oracle

Uses double quotes. NUMBER for booleans. Consider SQL*Loader for bulk.

Convert JSON to SQL INSERT Statements

This tool converts JSON data into SQL INSERT statements compatible with major databases. Perfect for migrating data, creating test fixtures, or preparing bulk imports.

Features

Support for MySQL, PostgreSQL, SQL Server, SQLite, and Oracle
Single multi-row INSERT or multiple INSERT statements
Optional CREATE TABLE statement generation
Proper escaping and quoting for each database
Automatic data type detection

Frequently Asked Questions

Common questions about JSON to SQL Converter.

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What this tool does

Draft SQL table definitions or inserts from sample records.

How to use it

Paste a JSON array, set the table name and dialect options, then inspect the generated SQL in an editor.

Worked example

[{"id":1,"name":"Ada"}] describes one row with id 1 and name Ada; generated SQL targets the table name you select.

Limitations and checks

This does not connect to a database. Review identifiers, inferred types, escaping, nulls and constraints before executing generated statements. Back up existing data first.

How your data is processed

The operation runs in your browser. Copy and download actions use your device. Where Save work is offered, a local copy is stored; eligible work can sync only under your enabled account settings. See Privacy for site analytics and storage details.

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