SQL to JSON Converter
Convert SQL schemas, queries, and data into JSON format. Extract structure, generate sample data, and create JSON APIs from SQL code.
Conversion Options
Extract database schema and query structure
Output Information
- CREATE TABLE → JSON schema
- SELECT queries → JSON structure
- INSERT statements → JSON data
- Supports constraints and relationships
SQL Input
Characters: 0Statements: 0
JSON Output
JSON output will appear here...
Click "Convert SQL to JSON" to transform your SQL code into JSON format
SQL to JSON Converter Tool – Transform SQL to JSON Format
The SQL to JSON Converter Tool bridges the gap between SQL databases and modern JSON-based applications. Convert SQL schemas, queries, and data into structured JSON format for use in APIs, documentation, testing, and integration with JSON-based tools.
Why Convert SQL to JSON?
- API Development – Generate JSON schemas from SQL for REST APIs
- Documentation – Create human-readable JSON documentation of database schemas
- Testing – Generate sample JSON data for testing applications
- Migration – Prepare SQL data for migration to NoSQL databases
- Integration – Make SQL schemas accessible to JSON-based tools
- Prototyping – Quickly create JSON mock data from SQL queries
- Analysis – Analyze SQL structure in JSON format for processing
Conversion Types
Structure Only
Extract database schema and query structure without data.
- CREATE TABLE → JSON schema
- Column definitions and types
- Constraints and relationships
- Query structure analysis
- Metadata and statistics
Data Only
Extract and generate sample data from SQL statements.
- INSERT statements → JSON data
- SELECT queries → sample data
- Realistic mock data generation
- Data type preservation
- Relationship mapping
Combined
Complete conversion including both structure and data.
- Full schema extraction
- Actual data from INSERTs
- Sample data for SELECTs
- Comprehensive JSON output
- Complete database representation
What Gets Converted?
SQL Schema Elements
- Tables – Table names and definitions
- Columns – Column names, data types, constraints
- Primary Keys – Primary key constraints
- Foreign Keys – Relationship constraints
- Indexes – Index definitions (where detectable)
- Defaults – Default values for columns
- Nullability – NULL/NOT NULL constraints
SQL Data Elements
- INSERT Data – Actual values from INSERT statements
- Sample Data – Generated mock data for SELECT queries
- Data Types – Proper JSON types (string, number, boolean)
- Relationships – Foreign key relationships in data
- Formatted Values – Dates, numbers, strings properly formatted
JSON Output Structure
The JSON output follows a well-structured format:
- type – Document type (sql_structure, sql_data_extract, sql_complete)
- tables – Array of table definitions with columns and constraints
- queries – Array of query structures with clauses and relationships
- extracted_data – Actual data from INSERT statements
- sample_data – Generated sample data for queries
- metadata – Statistics and analysis results
- statements – Original SQL statements with classification
Use Cases
- API Development – Generate OpenAPI/Swagger schemas from SQL
- Testing & Mocking – Create test data for applications
- Documentation – Generate JSON documentation of database schemas
- Migration Preparation – Prepare SQL data for NoSQL migration
- Code Generation – Generate model classes from SQL schemas
- Data Analysis – Analyze database structure in JSON tools
- Educational – Teach database concepts with JSON examples
- Prototyping – Quickly prototype with realistic data
Integration Examples
With REST APIs
// Generated JSON Schema from SQL
{
"paths": {
"/employees": {
"get": {
"parameters": [
{
"name": "id",
"in": "query",
"schema": { "type": "integer" }
}
]
}
}
}
}With Frontend Applications
// Generated TypeScript interfaces
interface Employee {
id: number;
first_name: string;
last_name: string;
email: string;
department_id: number;
salary: number;
hire_date: string;
active: boolean;
}Limitations
This converter has some limitations to be aware of:
- Cannot execute SQL against actual databases
- Sample data is generated, not actual query results
- Complex SQL features may not be fully captured
- Database-specific extensions may not be recognized
- Large INSERT statements may be truncated for performance
For production use with actual databases, consider database-specific export tools or ORM frameworks with JSON serialization.
Privacy & Security
All conversion happens in your browser. No SQL code is sent to any server, ensuring complete privacy and security for your database schemas and data.
Frequently Asked Questions
It converts SQL code (CREATE TABLE, INSERT, SELECT statements) into structured JSON format, making SQL schemas and data accessible to JSON-based tools and applications.
The converter supports CREATE TABLE (schema extraction), INSERT (data extraction), SELECT (query structure), and other common SQL statements.
This tool converts SQL code structure to JSON, not query execution results. For converting actual query results, you would need to execute the query against a database first.
You can choose between structure-only (schema), data-only (sample data), or combined output. JSON can be pretty-printed or minified.
For SELECT queries, the tool generates mock sample data based on column names and types to demonstrate the expected output structure.
Yes! The JSON output can be used for documentation, API development, schema validation, testing data generation, and integration with JSON-based tools.
