Transform JSON data into SQL INSERT statements instantly. Perfect for importing data, creating test fixtures, or migrating between databases.
Click "Convert" to generate SQL
Converting JSON (JavaScript Object Notation) data to SQL INSERT statements is a common task for developers dealing with data integration, migration, or testing. Our JSON to SQL Converter automates this process, parsing your JSON data and generating production-ready SQL commands that you can run against any standard database.
Writing SQL INSERT statements manually for hundreds or thousands of records is tedious and error-prone. A single missing comma or unescaped quote can break your entire script. This tool saves you time by:
INSERT INTO... VALUES...).INTEGER, REAL, BOOLEAN, or TEXT.VALUES clauses (e.g., INSERT INTO table VALUES (...), (...), (...)) for faster database execution.CREATE TABLE or DROP TABLE statements.my_table)..sql file.Understanding how JSON types translate to SQL is crucial for database design. Here is how our engine handles mappings:
| JSON Type | SQL Type (SQLite/Standard) | Example |
|---|---|---|
| Number (Integer) | INTEGER | 42 |
| Number (Float) | REAL / DECIMAL | 3.14159 |
| Boolean | BOOLEAN (or TINYINT) | true → 1 |
| String | TEXT / VARCHAR | "Hello World" |
| Null | NULL | null |
| Object/Array | TEXT (JSON String) | {"key": "value"} |
Relational databases are flat (rows and columns), but JSON is hierarchical (trees). Our converter handles this impedance mismatch smartly:
{
"id": 1,
"user": {
"name": "Alice",
"role": "admin"
}
}INSERT INTO my_table (id, user)
VALUES (1, '{"name":"Alice","role":"admin"}');Complex objects are automatically converted to JSON strings, perfect for storage in `JSONB` columns (PostgreSQL) or text fields.
Populate your development or testing environments with realistic dummy data generated in JSON format.
Fetch data from a REST API (which typically returns JSON) and archive it into a relational database for analytics.
Migrate data from document stores like MongoDB (exported as JSON) to relational databases like PostgreSQL.
Yes, absolutely. This tool operates 100% on the client side. Your JSON data is processed in your browser's memory and is never transmitted to any external server.
The converter generates the schema based on the keys found in the first object of the array. If subsequent objects have extra keys, they may be ignored. If they miss keys, those columns will be inserted as NULL. We recommend ensuring your JSON objects have a uniform structure.
This tool expects an array of objects (e.g., [{...}, {...}]) to generate multiple rows. If you have a single object, wrap it in square brackets first Example: [{ "id": 1, ... }].
Performance depends on your browser. For files up to ~50MB, it works smoothly. For extremely large datasets (hundreds of MBs), we recommend using a command-line tool or splitting the file into chunks.