Loading SQL to JSON Converter...
Please wait a moment

How to Convert SQL Results to JSON - Step by Step Guide

Step 1

Copy Your SQL Query Results

Execute your SQL query in your database client (MySQL Workbench, pgAdmin, DBeaver, SQL Server Management Studio, or command line) and copy the results. The tool supports pipe-separated, tab-separated, and comma-separated formats. You can also convert JSON to SQL or use our CSV to JSON converter.

Paste directly: Copy query results from your SQL client
Upload a file: Click "Upload" to select a .txt or .sql result file
Try sample data: Click "Sample" to see how it works with example data

Example: SQL Query Results (Pipe-Separated)

Typical output from MySQL or PostgreSQL command line:

user_id | username | email | status | total_orders 1 | john_doe | [email protected] | active | 15 2 | jane_smith | [email protected] | active | 23 3 | bob_wilson | [email protected] | inactive | 8
Step 2

Choose Delimiter & Options

Select the correct delimiter that matches your SQL output format. The converter automatically detects common formats but you can also select manually:

Pipe delimiter (|): Standard format for MySQL and PostgreSQL command line output
Tab delimiter: Common when copying from SQL GUI tools or Excel
Comma delimiter: CSV format from exported query results
Pretty format: Enable for indented, readable JSON output perfect for documentation
Step 3

Get Your JSON Output

The conversion happens instantly! Your SQL results are transformed into clean, structured JSON with several powerful features:

Auto data types: Numbers, booleans, and nulls are automatically detected and properly typed
Syntax highlighting: Color-coded JSON makes it easy to read and understand the structure
Copy or download: One-click copy to clipboard or save as .json file for APIs and applications
Ready for APIs: Perfect for REST endpoints, web apps, mobile apps, and data visualization

Example: Converted JSON Output

Clean, structured JSON ready for your application:

[{"user_id": 1,"username": "john_doe","email": "[email protected]","status": "active","total_orders": 15},{"user_id": 2,"username": "jane_smith","email": "[email protected]","status": "active","total_orders": 23}]

Frequently Asked Questions

What SQL result formats are supported?

The converter supports pipe-separated (|), tab-separated, comma-separated, and space-separated formats. These are the standard output formats from most SQL clients including MySQL CLI, PostgreSQL psql, and various GUI tools. The first row should contain column headers.

Does it automatically detect data types?

Yes! The converter intelligently detects and converts data types. Numbers are converted to integers or floats, booleans (true/false) are recognized, NULL values are handled, and strings remain as text. This ensures your JSON output has proper data types for immediate use in applications.

Can I convert large SQL result sets?

Yes, the tool handles large result sets efficiently. You can paste thousands of rows directly or upload result files. For very large datasets, consider using the minified output option to reduce file size. Also explore our SQL Formatter for query optimization.

What if my SQL output has table borders?

The converter automatically filters out common table separator lines like +---+---+ and ====== that appear in SQL client output. Just paste your results as-is, and the tool will intelligently parse only the data rows.

Why convert SQL results to JSON?

JSON is the standard data format for web APIs, JavaScript applications, and modern data interchange. Converting SQL results to JSON makes database data immediately usable in web apps, mobile apps, and data visualization tools. It's essential for building REST APIs and working with NoSQL databases. Try our JSON to Table tool too.

Is the SQL to JSON converter free?

Yes, completely free with unlimited conversions! No registration, no file size limits, and all processing happens in your browser for maximum privacy. Your data never leaves your computer. Also check out our SQL Minifier and other developer tools.