DevBolt
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How do I convert JSON to SQL online?

Paste a JSON array of objects and get SQL CREATE TABLE and INSERT statements for PostgreSQL, MySQL, or SQLite. The tool auto-infers column types (integer, float, boolean, date, UUID, JSON) and generates dialect-specific syntax. Download as .sql or copy. Everything runs in your browser.

JSON to CREATE TABLE + INSERT
Input
[{"id":1,"name":"Alice","email":"a@b.com"}]
Output
CREATE TABLE data (
  id INTEGER,
  name VARCHAR(255),
  email VARCHAR(255)
);

INSERT INTO data (id, name, email)
VALUES (1, 'Alice', 'a@b.com');
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JSON to SQL Converter

Convert JSON arrays to SQL CREATE TABLE and INSERT statements. Supports PostgreSQL, MySQL, and SQLite with automatic type inference.

About JSON to SQL Conversion

  • Automatically infers SQL column types from JSON values — integers, floats, booleans, dates, UUIDs, and text.
  • Supports PostgreSQL, MySQL, and SQLite with dialect-specific syntax (quoting, types, booleans).
  • Generates CREATE TABLE with NOT NULL constraints and INSERT statements with proper escaping.
  • Batch INSERT mode combines all rows into a single statement for faster bulk loading.
  • Nested objects and arrays are serialized as JSON/JSONB (PostgreSQL) or TEXT (SQLite).
  • Everything runs in your browser — no data is sent over the network.

Tips & Best Practices

Pro Tip

Use transactions for multi-row INSERT statements

When converting a JSON array to INSERT statements, wrap them in BEGIN/COMMIT. Without a transaction, a failure mid-import leaves your database in a partial state — some rows inserted, others missing. Transactions ensure all-or-nothing atomicity.

Common Pitfall

Auto-inferred SQL types may not match your schema

A JSON number 42 could be INTEGER, BIGINT, or NUMERIC depending on context. A date string might be DATE, TIMESTAMP, or VARCHAR. Always verify the generated CREATE TABLE types match your intended schema, especially for IDs (UUID vs SERIAL) and monetary values (NUMERIC vs FLOAT).

Real-World Example

Seed a development database from JSON fixtures

Keep test data as JSON files in your repo, convert to SQL for seeding dev/staging databases. This workflow is common with tools like Prisma seed scripts. JSON fixtures are easier to read and edit than raw SQL INSERT statements.

Security Note

Sanitize string values to prevent SQL injection

Generated INSERT statements should properly escape single quotes in string values (O'Brien → O''Brien). If you're using the generated SQL in application code rather than direct database import, prefer parameterized queries instead of string-interpolated INSERT statements.

Frequently Asked Questions

How do I convert JSON to SQL INSERT statements?
Paste a JSON array of objects and DevBolt generates SQL CREATE TABLE and INSERT statements automatically. The tool infers column types from values: strings become VARCHAR or TEXT, integers become INTEGER or BIGINT, floats become DOUBLE PRECISION or REAL, booleans become BOOLEAN, dates become TIMESTAMP, and UUIDs become UUID (PostgreSQL) or CHAR(36). You can choose between PostgreSQL, MySQL, and SQLite dialects. Options include batch INSERT, DROP TABLE IF EXISTS, and nullable columns. Download the generated .sql file or copy it directly.
What SQL dialects are supported?
DevBolt supports PostgreSQL (JSONB, UUID, TIMESTAMP, DOUBLE PRECISION, dollar-quoting), MySQL (backtick quoting, JSON type, DATETIME, AUTO_INCREMENT), and SQLite (INTEGER/REAL/TEXT type affinities, boolean as 0/1). Each dialect uses its native syntax for quoting identifiers, data types, and auto-increment columns. The tool generates dialect-specific SQL that runs without modification on the target database.
How are JSON data types mapped to SQL column types?
The converter maps types based on value analysis: strings become VARCHAR or TEXT, integers become INTEGER (or BIGINT for large values), floating-point numbers become DOUBLE PRECISION or REAL, booleans become BOOLEAN (or INTEGER 0/1 for SQLite), ISO date strings become TIMESTAMP or DATETIME, UUID strings become UUID (PostgreSQL) or CHAR(36), and nested objects become JSON or JSONB columns. Null values make columns nullable. The type mapping adapts per dialect to use native types.

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