Accelerate Database Seeding
When working with external APIs, mock data files, or JSON exports, inserting that data into a relational database can be incredibly tedious. Manually mapping JSON fields to SQL columns, figuring out the right data types, handling NULL values — it adds up fast when you've got dozens of fields and hundreds of records.
This tool automates the entire process. Paste a JSON array and get a complete SQL script with CREATE TABLE (properly typed columns) and bulk INSERT statements. Works with PostgreSQL, MySQL, and SQLite — each dialect gets the correct data types and syntax.
How Type Inference Works
The converter doesn't just look at the first record. It scans every object in your JSON array to build an accurate type map. If a field contains 42 in one record and 3.14 in another, it correctly infers a decimal type. If a value appears as null anywhere, the column becomes nullable.
Dialect-Specific Types
| JSON Type | PostgreSQL | MySQL | SQLite |
|---|---|---|---|
| Integer | INTEGER | INT | INTEGER |
| Decimal | DOUBLE PRECISION | DOUBLE | REAL |
| Boolean | BOOLEAN | TINYINT(1) | INTEGER |
| String | TEXT | TEXT | TEXT |
When to Use This Tool
The most common use cases we see are seeding development databases from API exports, migrating data from NoSQL to SQL databases, and creating test fixtures from JSON mock data. Instead of writing tedious INSERT statements by hand or building custom migration scripts, you can paste, convert, and run the SQL directly.
This tool runs 100% client-side — no JSON data or database structures are ever transmitted to any server.