🗄️ JSON to SQL — Free & Instant

Convert JSON to SQL INSERT Statements

Generate SQL INSERT statements from JSON arrays. Choose your database dialect, table name, batch size, and optionally generate a CREATE TABLE statement with inferred column types.

MySQL / PostgreSQL / SQLite / SQL ServerCREATE TABLEBatch insertsType inference
JSON Input
📁

Drop JSON file here

SQL Output
Rows: —Cols: —Size: —

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FAQ

How does type inference work?

The converter scans all values for a column and infers the type: INTEGER (all whole numbers), REAL/FLOAT (all numbers), TEXT/VARCHAR (everything else). Nulls are ignored in type detection.

What is batch size?

Instead of one INSERT per row, batched inserts group multiple rows into a single INSERT statement — e.g. INSERT INTO t VALUES (1,'Alice'),(2,'Bob').... This is much faster for large datasets.

Are special characters in strings escaped?

Yes. Single quotes in string values are escaped as '' (SQL standard). Backslashes are escaped for MySQL dialect.

What happens to nested JSON objects?

With Flatten nested enabled, nested objects are flattened with dot notation as column names. Arrays are serialized as JSON strings in the SQL value.

JSON to SQL — Complete Guide

Importing JSON data into a relational database is a common task in data engineering and backend development. This tool generates ready-to-run SQL statements from any JSON array, eliminating manual data entry and reducing errors.

Generated SQL Structure

-- CREATE TABLE (with inferred types):
CREATE TABLE my_table (
  id INTEGER,
  name VARCHAR(255),
  age INTEGER,
  city VARCHAR(255)
);

-- INSERT statements (batched):
INSERT INTO my_table (id, name, age, city) VALUES
(1, 'Alice', 30, 'New York'),
(2, 'Bob', 25, 'London');

Dialect Differences