JSON to SQL Converter | QuickUtil.dev

Table name:

Dialect:

Batch inserts

Include CREATE TABLE

JSON Input

SQL Output

How It Works

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Multi-Dialect Support

Generate SQL for MySQL (backtick quoting), PostgreSQL (double-quote quoting), SQLite (unquoted), or SQL Server (bracket quoting). Each dialect uses its proper conventions.

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Batch & Individual

Choose between individual INSERT statements (one per row) or batch inserts (multiple rows in one statement) for better performance with large datasets.

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CREATE TABLE Generation

Optionally generate a CREATE TABLE statement with inferred column types. The tool detects strings, numbers, booleans, and nulls to choose appropriate SQL types.

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100% Private

All conversion happens in your browser. No JSON or SQL data is transmitted to any server. Your data remains completely private on your device.

Understanding JSON to SQL Conversion

Converting JSON data to SQL INSERT statements is a common task when migrating data between systems, importing API responses into databases, seeding development databases, or preparing data for testing. This tool automates the tedious process of manually writing INSERT statements from JSON data.

How the Conversion Works

Column Detection: The tool reads all keys from your JSON objects to determine column names. It handles objects with varying keys by unioning all keys.
Type Inference: Values are inspected to infer SQL types. Strings become VARCHAR, numbers become INT or DECIMAL, booleans become BOOLEAN, and nulls default to VARCHAR.
String Escaping: String values are properly escaped for SQL injection prevention. Single quotes in values are doubled (''), and special characters are handled.
NULL Handling: JSON null values are converted to SQL NULL (unquoted). Missing keys in objects are also treated as NULL.
Dialect Quoting: Column and table names are quoted according to the selected SQL dialect conventions.

SQL Dialect Differences

Different databases use different quoting conventions for identifiers (table and column names). MySQL uses backticks (`name`), PostgreSQL uses double quotes ("name"), SQL Server uses square brackets ([name]), and SQLite typically uses unquoted identifiers. This tool handles these differences automatically based on your dialect selection.

Frequently Asked Questions

What JSON format does this tool accept? ▼

The tool accepts a JSON array of objects, where each object represents a row. Keys become column names and values become row data. Example: [{"name": "Alice", "age": 30}].

Which SQL dialects are supported? ▼

MySQL, PostgreSQL, SQLite, and SQL Server (T-SQL). Each uses proper quoting: backticks for MySQL, double quotes for PostgreSQL, square brackets for SQL Server, and unquoted for SQLite.

What is the difference between batch and individual inserts? ▼

Individual inserts create one INSERT per row, which is simpler and easier to debug. Batch inserts combine all rows into one INSERT with multiple value sets, which is faster for large datasets.

How are NULL values handled? ▼

JSON null values become SQL NULL (unquoted). Missing keys in objects are also treated as NULL. Booleans true/false become 1/0. Empty strings remain as empty strings ('').

Can this tool generate CREATE TABLE statements? ▼

Yes, enable the "Include CREATE TABLE" option. The tool infers column types from JSON values: strings become VARCHAR(255), integers become INT, decimals become DECIMAL(10,2), booleans become BOOLEAN or BIT, and nulls default to VARCHAR(255).

Is my data sent to any server? ▼

No, all conversion happens entirely in your browser using JavaScript. No data is transmitted to any server. Your JSON and SQL data remain completely private on your device.

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