What SQL syntax is supported by the converter?

The SQL to JSON converter currently supports basic SELECT statements with FROM clauses. It can parse column names and generate JSON structures, but complex queries with JOINs, subqueries, or advanced SQL features may not be fully supported.

How does the converter handle sample data?

When no actual database connection is available, the converter generates sample data to demonstrate the conversion process. This includes common data types like integers, strings, and demonstrates how the JSON output would look with real data.

Can I download the converted JSON file?

Yes, you can download the converted JSON file using the download button. The file will be named 'query-result.json' and will contain the formatted JSON output from your SQL query conversion.

Is my SQL query data secure and private?

Yes, all conversion happens locally in your browser. No SQL queries or converted data are sent to external servers, ensuring complete privacy and security of your database queries and results.

What validation does the tool perform?

The tool validates SQL syntax by checking for proper SELECT statement structure and FROM clause presence. It also provides real-time feedback on query validity and displays statistics about the input and output data.

Can I convert complex SQL queries with JOINs?

The converter focuses on basic SELECT queries and may not fully support complex queries with JOINs, subqueries, or advanced SQL features. For best results, use straightforward SELECT statements with clear column and table names.

SQL to JSON Converter

Convert SQL SELECT query results to JSON format instantly with automatic formatting, validation, and sample data generation. Perfect for API integration, data processing, and database-to-JSON transformation with comprehensive query parsing and structured output.

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Quick Presets

Common SQL queries for quick conversion

Input

Enter a SQL SELECT query to convert to JSON format

How it works: Parses the SQL SELECT query to extract column names, then generates a sample JSON dataset with those columns. The output shows how the SQL result set would look as a JSON array of objects.

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