JSON to SQL CREATE TABLE Generator

What Is a JSON to SQL CREATE TABLE Generator?

A JSON to SQL CREATE TABLE generator analyzes JSON object structures and produces SQL Data Definition Language (DDL) statements that create database tables with appropriately typed columns. This tool bridges the gap between JSON-based data representations used by APIs and applications, and the structured schema definitions required by relational databases like PostgreSQL, MySQL, SQLite, and SQL Server.

This generator examines each JSON property's value to infer the most appropriate SQL column type. Strings are mapped to VARCHAR or TEXT based on length, numbers to INTEGER or DECIMAL based on whether they have decimal points, booleans to BOOLEAN, date-formatted strings to DATE or TIMESTAMP, and null values to TEXT as a safe default. An auto-incrementing primary key column is automatically added. All type inference runs locally in your browser with 100% client-side processing, ensuring your data schema and sample records never leave your machine.

How to Generate SQL from JSON

1. Paste a JSON object representing a sample record into the input panel. Use an object with representative values for each field you want as a column.
2. Click Convert to analyze the values and generate a CREATE TABLE statement with inferred column types and an auto-incrementing primary key.
3. Review the SQL output with appropriate column types — VARCHAR for short strings, TEXT for long ones, INTEGER vs DECIMAL for numbers, BOOLEAN for true/false, and TIMESTAMP for dates.
4. Copy the SQL statement and execute it in your database client, migration file, or ORM schema definition tool.

Why Use PinusX JSON to SQL Generator?

Backend developers and database administrators frequently need to create database schemas from JSON API responses, configuration files, or data samples. Manually mapping JSON types to SQL column types for tables with many fields is tedious. PinusX automates this with 100% client-side processing — your data samples, schema designs, and database structures never leave your browser. This is critical when working with production data samples that contain real customer information, financial figures, or internal business metrics that should not be exposed to server-based tools.

Frequently Asked Questions

What SQL column types are inferred?

Strings under 255 characters become VARCHAR with a calculated max length, longer strings become TEXT, integers become INTEGER, decimals become DECIMAL(10,2), booleans become BOOLEAN, date-formatted strings become DATE, and datetime strings become TIMESTAMP. Null values default to TEXT.

Which SQL dialect does it generate?

The output uses PostgreSQL-compatible syntax with SERIAL PRIMARY KEY for auto-incrementing IDs. The column types used (VARCHAR, TEXT, INTEGER, DECIMAL, BOOLEAN, TIMESTAMP) are broadly compatible with PostgreSQL, MySQL, and SQLite with minor dialect adjustments.

Can I use JSON arrays as input?

Yes. If you provide a JSON array of objects, the generator uses the first object in the array as the sample record for inferring column types. This is useful when working with API responses that return arrays of records.

Are nested JSON objects supported?

The generator creates columns only for top-level primitive properties. Nested objects and arrays are skipped since relational databases represent relationships through foreign keys rather than nested structures. Consider normalizing your JSON into separate tables for nested data.

Is my data schema private?

Yes. All JSON to SQL generation runs locally in your browser. No data samples, schema definitions, or SQL statements are sent to any server. Your database schema design process remains completely private.

Your data never leaves your browser. 100% client-side processing.