Data Converters
JSON to SQL INSERT Generator
Turn a JSON array into SQL INSERT statements you can run against any relational database. The tool extracts all unique keys as columns, quotes string values, preserves null and numeric types, and outputs a batch of INSERT statements ready for MySQL, PostgreSQL, SQLite, or SQL Server.
Converted entirely in your browser; your data never leaves your device
Features
- Converts a JSON array of objects to SQL INSERT statements
- Configurable table name
- Properly quotes strings and preserves numbers, booleans, and nulls
- Generates one INSERT per row for maximum compatibility
- Optional batch INSERT mode (multiple rows per statement)
- Download .sql or copy to clipboard
How to use it
- Paste a JSON array of objects into the input panel.
- Set the target table name in the Options field.
- Click Convert. SQL INSERT statements appear for each JSON object.
- Download the .sql file or copy the statements into your database client.
Use cases
- Seeding a development or test database from JSON fixtures
- Importing JSON API responses into a relational table
- Migrating JSON data exports to a SQL database
- Generating sample data INSERT statements for documentation
Limitations
- Deeply nested objects and arrays are serialized as JSON text strings, not expanded into columns.
- The tool does not generate CREATE TABLE statements; column types must be defined separately.
- Very large JSON arrays may be slow on older devices.
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Use toolFrequently asked
Which databases are supported?
The output uses standard SQL INSERT syntax compatible with MySQL, PostgreSQL, SQLite, MariaDB, and SQL Server. String values are quoted with single quotes and single quotes inside values are escaped.
How are null and boolean values handled?
JSON null becomes SQL NULL. Boolean true/false becomes 1/0 for broad compatibility, or TRUE/FALSE if your database supports it.
Is my JSON data uploaded to a server?
Your file or text is processed in your browser and is not uploaded.
What if rows have different keys?
All unique keys across all objects are gathered as columns. Rows missing a key produce NULL for that column.