Data Tools Portal
JSON to SQL Converter
Convert JSON arrays of objects into SQL VALUES, UPDATE loops, or INSERT statements for database operations.
About JSON to SQL Converter
Transform JSON data into SQL statements for database operations
What is a JSON to SQL Converter?
A JSON to SQL converter transforms JSON data (arrays of objects) into SQL statements that can be executed in a database. This tool is perfect for converting API responses, exported data, or any structured JSON into database-ready SQL queries including INSERT statements, UPDATE loops, and VALUES clauses.
Common Use Cases
- API Data Import: Convert JSON responses from APIs directly into SQL for database storage.
- Data Migration: Transform JSON exports from NoSQL databases or applications into SQL for relational databases.
- Bulk Operations: Generate UPDATE or INSERT statements for multiple records from JSON data.
- Testing & Development: Create SQL statements from JSON test data or mock API responses.
- Data Synchronization: Convert JSON data from external systems into SQL for database updates.
How to Use This Tool
- Paste your JSON array of objects into the input field
- Choose your desired output format (VALUES, UPDATE Loop, or INSERT Loop)
- For UPDATE/INSERT loops, enter your table name and configure column mappings
- Specify type casting for columns that need it (e.g., ::uuid, ::timestamp)
- Click "Convert to SQL" to generate the SQL statements
- Copy the generated SQL and execute it in your database
Output Formats
- VALUES: Generates a simple VALUES clause that can be used in INSERT statements or CTEs.
- UPDATE Loop: Creates a PostgreSQL DO block that updates existing records based on a WHERE condition.
- INSERT Loop: Generates a PostgreSQL DO block that inserts new records into the specified table.
JSON Structure Requirements
Your JSON should be an array of objects where each object represents a row of data:
[ { "id": "123e4567-e89b-12d3-a456-426614174000", "name": "John Doe", "email": "john@example.com", "age": 30 }, { "id": "987fcdeb-51a2-43d1-9f12-345678901234", "name": "Jane Smith", "email": "jane@example.com", "age": 25 } ]
Type Casting
The tool supports PostgreSQL type casting to ensure your data is properly typed in the database. Common castings include:
- ::uuid - For UUID fields
- ::timestamp - For datetime fields
- ::numeric - For decimal numbers
- ::jsonb - For JSON data
- Custom types - Any PostgreSQL type or enum
Tips for Best Results
- Consistent Structure: Ensure all objects in your JSON array have the same property structure.
- Data Types: Use appropriate type casting for UUIDs, timestamps, and other special data types.
- Test First: Always test generated SQL on a small dataset before running on production data.
- Backup: Create database backups before executing large update operations.
- Validation: Validate your JSON format before conversion to avoid errors.
Security & Privacy
All JSON processing happens locally in your browser. Your data never leaves your device, ensuring complete privacy and security. However, always verify generated SQL before executing it on sensitive databases.