A JSON to SQL Converter is a developer tool that transforms JSON (JavaScript Object Notation) data into executable SQL statements. It automatically parses your JSON structure, extracts column names from object keys, and generates properly formatted INSERT INTO or UPDATE statements. This saves time when you need to seed databases, migrate data from APIs, or convert configuration files into database records—all without manually writing repetitive SQL.

Simply paste your JSON array (or single object) into the input area, enter your table name, select INSERT mode, and click "Generate SQL." The tool will map each JSON key to a column name and each object to a row. You can optionally enable Batch INSERT to combine multiple rows into a single INSERT INTO table (cols) VALUES (row1), (row2), ...; statement for better performance.

Switch to UPDATE mode after pasting your JSON. The tool will display all detected columns with checkboxes. Checked columns are used in the WHERE clause to identify which row(s) to update, while unchecked columns go into the SET clause. For example, checking only "id" generates: UPDATE users SET name='John', email='john@example.com' WHERE id=1;. At least one column must be checked to avoid updating all rows unintentionally.

• NULL values: JSON null is converted to SQL NULL (without quotes).
• Booleans: true becomes 1, false becomes 0 for broad SQL compatibility.
• Numbers: Integers and floats are output as-is without quotes.
• Strings with quotes: Single quotes are escaped by doubling them (e.g., O'Brien → 'O''Brien'), following SQL standards.
• Nested objects/arrays: Complex values are serialized via JSON.stringify() and stored as escaped strings.

This tool generates standard SQL syntax that is compatible with most major databases including MySQL, PostgreSQL, SQLite, MariaDB, and SQL Server. Column names are optionally wrapped in backticks (`) for MySQL/MariaDB compatibility. You can toggle the "Quote column names" option based on your database requirements. The batch INSERT syntax (VALUES (...), (...)) is supported by MySQL, PostgreSQL, SQLite, and MariaDB.

Both are supported. If you paste a single JSON object like {"id": 1, "name": "John"}, the tool automatically wraps it and generates one SQL statement. If you paste an array of objects, it generates one statement per object (or a batch statement if enabled). This flexibility means you can use the tool for one-off records or bulk data migration.

Yes, completely. All JSON processing happens entirely in your browser using client-side JavaScript. Your data is never uploaded to any server, stored, logged, or transmitted over the network. The tool works offline once the page loads. You can verify this by disconnecting your internet after loading the page—the converter will continue to function normally. For highly sensitive data, this is the safest approach.

If your table uses an auto-increment primary key (like id), simply omit that field from your JSON before converting to INSERT statements. The database will automatically assign the next value. For UPDATE statements, you'll want to keep the primary key in your JSON and check it in the WHERE clause so the correct row gets updated. You can also manually delete the key-value from the generated SQL if needed.