SQL to JSON– Convert SQL to JSON Online

Convert SQL INSERT and CREATE TABLE statements to structured JSON format. Free online converter.

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Why Use Our SQL to JSON Converter?

Instant Conversion

Convert INSERT and CREATE TABLE statements to JSON with one click.

Schema Extraction

Extract table schemas from CREATE TABLE into structured JSON definitions.

100% Secure

All processing in your browser. SQL data never leaves your device.

Pretty Printed

Output JSON is formatted with proper indentation for readability.

One-Click Copy

Copy JSON output to clipboard instantly for your application.

Free Forever

No signup, no limits. Convert unlimited SQL to JSON free.

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Complete SQL to JSON Conversion Guide

SQL to JSON conversion transforms structured data from SQL statements into JSON (JavaScript Object Notation) format. This conversion bridges the gap between relational databases that use SQL and modern applications, APIs, and NoSQL systems that work primarily with JSON. By extracting data from INSERT statements or schema definitions from CREATE TABLE statements, our tool produces clean, structured JSON ready for application consumption.

Our free online converter parses SQL INSERT INTO statements to extract column names and data values, outputting a JSON array where each row becomes a JSON object with column names as keys. For CREATE TABLE statements, it extracts the table name and column definitions (names and types) into a JSON schema object. All processing happens locally in your browser for complete data privacy.

This conversion is essential for data migration workflows, API development, seed data preparation, and bridging relational and document-based data stores. Rather than manually transcribing SQL data into JSON format, our tool automates the process instantly and accurately.

The output JSON is formatted with proper indentation for human readability while remaining valid for programmatic consumption. You can copy the output directly into application code, configuration files, API request bodies, or NoSQL database imports.

The conversion process differs based on the input SQL statement type. For INSERT INTO statements, the parser first extracts the table name and column names from the INSERT INTO table_name (col1, col2, ...) VALUES clause. Column names become JSON object keys.

Next, the parser processes each VALUES tuple, extracting individual values while handling string quoting (removing surrounding single quotes from string values) and NULL values (converting to empty strings). Each tuple becomes a JSON object where the keys are column names and values are the corresponding data. Multiple tuples produce a JSON array of objects.

For CREATE TABLE statements, the parser extracts the table name and column definitions. Each column definition is split into the column name and its type specification. Constraint keywords (PRIMARY KEY, FOREIGN KEY, CONSTRAINT, INDEX, UNIQUE) are filtered out to produce a clean schema. The output is a JSON object containing the table name and an array of column definitions.

Quoted identifiers (backticks in MySQL, double quotes in PostgreSQL) are automatically stripped from column names to produce clean JSON keys. The final output is serialized with 2-space indentation using JSON.stringify for readable formatting.

Data Migration

When migrating from relational databases to document stores like MongoDB, Firestore, or DynamoDB, convert SQL INSERT data to JSON as the first step. The JSON output can be directly imported into document databases.

API Mock Data

Convert SQL seed data into JSON fixtures for API development. Use the JSON output to create mock server responses, test fixtures, or Swagger/OpenAPI example responses during frontend development.

Configuration Generation

Extract database schema information from CREATE TABLE statements into JSON for use in ORM configuration files, code generation tools, or documentation generators that consume JSON schema definitions.

Frontend Development

Convert SQL data exports to JSON for use in React, Vue, or Angular applications. JSON is the native data format for JavaScript applications, making SQL-to-JSON conversion essential for full-stack development.

Documentation

Convert SQL INSERT examples into JSON for API documentation, README files, and technical specifications. JSON examples are more universally readable than SQL INSERT statements for non-database audiences.

Testing and Seeding

Convert SQL seed scripts into JSON fixtures for unit tests and integration tests. JSON fixtures are easier to manage in test frameworks like Jest, Mocha, and Vitest compared to raw SQL.

Several approaches exist for converting SQL data to JSON. Understanding the tradeoffs helps you choose the right method for your workflow.

Method	Pros	Cons
Online Converter (This Tool)	Instant, no setup, works with raw SQL text, browser-based privacy	Supports INSERT INTO and CREATE TABLE only
Database JSON Functions	Converts any query result, handles all types	Requires database access, dialect-specific syntax
Programming Libraries	Full control, batch processing, type handling	Requires coding, dependency management

Our online tool excels for quick conversions of SQL INSERT data and CREATE TABLE schemas when you have raw SQL text. For converting live query results, use database-native JSON functions like PostgreSQL's row_to_json() or MySQL's JSON_ARRAYAGG().

Validate SQL before converting: Ensure your SQL is syntactically correct before attempting conversion. The parser requires properly structured INSERT INTO or CREATE TABLE statements to extract data correctly.
Handle data types after conversion: All INSERT values are extracted as strings. If you need numeric, boolean, or null types in your JSON, post-process the output to convert string values to appropriate types.
Verify column name mapping: Check that SQL column names converted correctly to JSON keys. Columns with spaces or special characters may need renaming in the JSON output for compatibility with your target system.
Test with representative data: Convert a sample of your data first to verify the output format meets your requirements before processing large datasets.
Use consistent column naming: For the cleanest JSON output, use snake_case or camelCase column names in your SQL. This produces JSON keys that follow standard JavaScript and API naming conventions.

Following these practices ensures clean, usable JSON output that integrates smoothly into your applications and data pipelines.

How do I convert SQL to JSON?

Paste an INSERT INTO statement or a CREATE TABLE statement into the input field and click 'Convert'. The tool parses column names and data values from INSERT statements, or extracts schema definitions from CREATE TABLE statements, and outputs structured JSON.

What SQL statements can be converted to JSON?

The tool converts INSERT INTO statements (extracting column names and row data into JSON objects) and CREATE TABLE statements (extracting table name and column definitions into a JSON schema). Other statement types are not currently supported for conversion.

Does the tool preserve data types?

For INSERT statements, all values are extracted as strings in the JSON output. For CREATE TABLE statements, the original SQL types (VARCHAR, INT, BOOLEAN, etc.) are preserved in the schema JSON. You may need to cast types in your application after conversion.

Can I convert multiple INSERT statements?

The tool processes a single INSERT statement with multiple VALUES rows. Multiple separate INSERT statements should be converted individually. Each row in the VALUES clause becomes a separate JSON object in the output array.

Is this SQL to JSON converter free?

Yes, completely free with no signup required. Convert unlimited SQL to JSON with no restrictions.

Is my SQL data secure?

Completely secure. All conversion happens locally in your browser. Your SQL data never leaves your device and is never transmitted to any server.

What JSON format is produced?

INSERT statements produce a JSON array of objects where each object represents a row with column names as keys and cell values as string values. CREATE TABLE statements produce a JSON object with table name and column definitions array.

Can I convert SELECT query results?

SELECT statements themselves cannot be converted because they do not contain data -- they describe a query to retrieve data. To convert query results, first export them as INSERT statements from your database client, then paste those INSERT statements here.

How do I handle NULL values?

NULL values in INSERT statements are converted to empty strings in the JSON output. If you need to preserve null semantics, you can post-process the JSON to replace empty strings with null values where appropriate.

Can I convert SQL with quoted identifiers?

Yes, the tool handles backtick-quoted and double-quote-quoted column names common in MySQL and PostgreSQL. Quotes are stripped from identifiers in the JSON output for clean key names.

What if my SQL has syntax errors?

The converter requires properly structured INSERT INTO or CREATE TABLE statements to parse correctly. If conversion fails, use our SQL Validator to check your syntax first, then retry the conversion.

Can I convert the JSON back to SQL?

The reverse operation (JSON to SQL INSERT statements) would require a separate tool. Our converter is one-directional: SQL to JSON. You can use the JSON output in applications, APIs, or data pipelines.

SQL to JSON Converter Tool

Why Use Our SQL to JSON Converter?

Other SQL Tools

Complete SQL to JSON Conversion Guide