JSON to SQL

Tool Description

JSON to SQL is an online JSON to SQL tool offering free daily quota — no installation, no registration, ready to use. It transforms .json data files into SQL INSERT and CREATE TABLE statements with one click, supporting nine major database dialects: MySQL, MariaDB, PostgreSQL, SQLite, Oracle, SQL Server, IBM DB2, SAP HANA, and DaMeng DM, with customizable table names and batch insert sizes. All processing runs locally in your browser for 100% privacy. Whether for data migration, database initialization, or data exchange, it delivers results comparable to professional database tools.

How to Use

1. Upload JSON

   Click the upload area or drag and drop JSON files (.json) into the upload box. The file should contain a JSON array of objects (e.g., [{"id":1,"name":"John"},...]).

2. Set Parameters

   Select the target database type in the parameter panel, and optionally set table name, batch size, and whether to generate CREATE TABLE statements.

3. Process & Download

   After conversion, click "Download" to get your SQL file — multiple files support batch download as a ZIP archive.

Use Cases

• Data Migration: Quickly convert JSON data from APIs or NoSQL database exports into SQL scripts for direct import into MySQL, PostgreSQL, and other relational databases
• Database Initialization: Convert JSON configuration data and test data into SQL with CREATE TABLE statements for new project database setup or test data preparation
• Data Analysis & Exchange: Batch convert JSON data from third-party APIs into SQL format for querying, analysis, and data integration in relational databases

Key Advantages

1. Free Daily Quota

   Free usage every day covers everyday data conversion needs at zero cost; frequent or professional users can unlock more via a membership.

2. Privacy & Security

   All conversion runs entirely in your browser — files are never uploaded to any server, keeping your data safe.

3. Smart Type Inference

   Automatically detects numeric, boolean, and date types to generate appropriate column types.

4. Multi-Dialect Support

   Compatible with MySQL, PostgreSQL, Oracle, SQL Server and five other major database dialects, generating the correct syntax automatically.

5. Flexible Output

   Customizable table names and batch insert sizes, with optional CREATE TABLE statements.

6. One-Click Completion

   No manual SQL writing needed — upload JSON to generate complete INSERT and CREATE TABLE statements in one click, saving time and effort.

Database Dialect Differences

Different databases have variations in identifier quoting, data types, and auto-increment syntax. This tool automatically generates the appropriate SQL syntax based on your selected database type:

Database	Identifier Quote	Special Syntax
MySQL	`column_name`	AUTO_INCREMENT, ENGINE=InnoDB
MariaDB	`column_name`	AUTO_INCREMENT, ENGINE=InnoDB
PostgreSQL	"column_name"	GENERATED AS IDENTITY, BOOLEAN
SQLite	"column_name"	AUTOINCREMENT, TEXT, REAL
Oracle	"column_name"	NUMBER, VARCHAR2, SEQUENCE
SQL Server	[column_name]	IDENTITY(1,1), NVARCHAR
IBM DB2	"column_name"	GENERATED ALWAYS AS IDENTITY
SAP HANA	"column_name"	COLUMN TABLE, GENERATED AS IDENTITY
DaMeng DM	"column_name"	IDENTITY(1,1), VARCHAR2

Usage Tips

① For large datasets, use batch inserts (50-500 rows per batch) to speed up imports; ② The tool automatically wraps identifiers in quotes when names contain special characters; ③ Preview the SQL output before executing to confirm table names, column names, and types are as expected.

FAQ