Convert SQL Query Results to JSON

Easily transform your SQL query output into JSON format. This tool is perfect for developers needing to integrate database results with web APIs and applications.

SQL to JSON Converter

Convert SQL query results or INSERT statements to JSON format

Prettify JSONOutput as array (not wrapped in object)

SQL Input

JSON Output

How It Works

This SQL to JSON converter transforms database query results into JSON format, making it easy to integrate SQL data with web applications, APIs, and modern development workflows.

The conversion process:

Query input: Provide your SQL query results either by pasting tabular data or connecting to a database.
Structure analysis: Column names become JSON keys, and each row becomes a JSON object in an array.
Type mapping: SQL data types are converted to appropriate JSON types (numbers stay numbers, dates become strings, NULL becomes null).
JSON generation: Output is formatted as a valid JSON array, with options for pretty-printing or minification.

JSON has become the universal data interchange format for web APIs and JavaScript applications. Converting SQL results to JSON bridges the gap between relational databases and modern application architectures.

When You'd Actually Use This

API Response Preparation

Convert database query results to JSON format for REST API responses.

Frontend Development

Transform SQL data into JSON that JavaScript frameworks (React, Vue, Angular) can consume directly.

Data Export for Analysis

Export database data as JSON for use in data science tools that prefer JSON over CSV.

Configuration Generation

Create JSON configuration files from database-stored settings or content.

NoSQL Migration

Convert relational data to JSON documents when migrating to MongoDB or similar databases.

Testing and Mocking

Generate realistic JSON test data from production database queries for development environments.

What to Know Before Using

Relational structure flattens

SQL's relational nature (multiple tables, joins) becomes a flat JSON array. Nested relationships require additional processing.

Date formatting varies

SQL dates convert to ISO 8601 strings by default. Some applications may expect different date formats or timestamps.

Large result sets create large JSON

Exporting thousands of rows produces large JSON files. Consider pagination or streaming for large datasets.

Binary data needs encoding

BLOBs and binary columns convert to base64-encoded strings in JSON, increasing size by about 33%.

NULL vs empty string distinction

SQL NULL becomes JSON null. Empty strings remain empty strings. This distinction is preserved but may need handling in your application.

Common Questions

Can I create nested JSON from joined tables?

Basic conversion produces flat objects. For nested JSON (e.g., orders with line items), use database-specific JSON functions (JSON_OBJECT, JSON_ARRAY) in your SQL query.

How do I handle special characters in JSON?

The converter automatically escapes quotes, backslashes, and control characters per JSON specification. Output is valid JSON ready for parsing.

What's the difference between pretty-printed and minified JSON?

Pretty-printed adds indentation and newlines for readability. Minified removes all whitespace for smaller file size. Use pretty for development, minified for production.

Can I convert JSON back to SQL?

Yes, use a JSON to SQL converter tool. It parses JSON and generates INSERT statements. However, complex nested JSON may require custom parsing logic.

How are SQL data types mapped to JSON?

INT/DECIMAL become JSON numbers, VARCHAR/TEXT become strings, DATE/TIMESTAMP become ISO strings, BOOLEAN becomes true/false, NULL becomes null.

Can I filter which columns become JSON keys?

Select only the columns you need in your SQL query. The converter uses whatever columns are in the result set.

Is the output valid for all JSON parsers?

Yes, the output follows RFC 8259 JSON standard and works with JavaScript's JSON.parse(), Python's json module, and all standard JSON libraries.

Other Free Tools

Search tools