JSON to SQL conversion

Turn a JSON array into SQL INSERT statements

Seeding a database from an API export or a config file means turning JSON into INSERT statements. The JSON to SQL tool generates the statements locally with a table name and CREATE TABLE option, and the CSV to SQL guide covers the same workflow for spreadsheet data.

01

Generate SQL in four steps

One paste becomes a complete seed script.

2

Paste the JSON

Paste an array of objects; each object becomes a row.

3

Set the table options

Name the table and choose whether to include CREATE TABLE.

4

Copy the SQL

Copy the statements into your migration or seed script.

02

How objects become rows

Each object in the array becomes one INSERT with the object keys as column names. Missing keys become NULL, and strings are quoted and escaped so the statements run cleanly.

For CSV sources, the CSV to SQL tool provides the same output from spreadsheet data.

03

Common conversion pitfalls

  • Keys that differ between rows, leaving empty cells
  • Quotes and special characters breaking string values
  • Missing table names that produce ambiguous SQL
04

Best practices

  • Use consistent keys across all objects in the array
  • Review the output in a test database before production
  • Use the CSV path when the source is spreadsheet data
05

Frequently asked questions

What if my JSON is a single object?

A single object is treated as one row, so you still get a valid INSERT statement.

Are string values escaped?

Yes. Quotes and backslashes are escaped so the generated SQL runs without syntax errors.

Can I generate a CREATE TABLE statement?

Yes. The option adds a CREATE TABLE with text columns derived from the keys.

Is my JSON uploaded?

No. Generation runs locally in your browser.

06

Your data stays local

The JSON is converted in your browser. Nothing is uploaded or stored.

Open JSON to SQL