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Free SQL to JSON Converter

Convert SQL INSERT statements and database dumps into JSON objects, or generate SQL queries from JSON.

Tanbir Ahamed·Founder of ToolWise · Software Engineer

Published August 2026

100% Client-Side Database Converter

Mode: SQL → JSON

SQL INSERT Input

Parsed JSON Output383 chars

[
  {
    "id": 1,
    "name": "Tanbir Ahamed",
    "email": "[email protected]",
    "role": "Admin",
    "is_active": true
  },
  {
    "id": 2,
    "name": "Sarah Connor",
    "email": "[email protected]",
    "role": "Editor",
    "is_active": true
  },
  {
    "id": 3,
    "name": "John Smith",
    "email": "[email protected]",
    "role": "User",
    "is_active": false
  }
]

How to Use

1Select your conversion direction: SQL to JSON or JSON to SQL.
2Paste your SQL INSERT query or JSON array into the editor (or click Load Sample).
3Inspect the formatted output and click Copy or Download.

Features

✓Bidirectional conversion between SQL INSERT statements and JSON arrays
✓Automatic data type parsing (numbers, booleans, NULL values, quoted strings)
✓Customizable SQL target table name and column mapping
✓1-click Copy and file download (.json or .sql)
✓100% private in-browser tool with zero server uploads

Comprehensive Guide & Reference

Comprehensive Guide & Reference: SQL to JSON & Relational Data Migration

Translating relational database tables (SQL) into document-oriented schemas (JSON) is a core step when migrating legacy MySQL or PostgreSQL databases to MongoDB, Firebase, or REST APIs.

1. Type Mapping Between SQL & JSON

SQL Relational Type	JSON Data Type	Example Conversion
VARCHAR / TEXT	string	`'Alice'` → `"Alice"`
INT / FLOAT / NUMERIC	number	`42, 19.99` → `42, 19.99`
BOOLEAN / TINYINT(1)	boolean	`TRUE / FALSE` → `true / false`
NULL	null	`NULL` → `null`

2. Common Migration Use Cases

Database Seeding: Convert JSON mock data generated by LLMs or Faker.js directly into SQL INSERT statements to populate local test databases.
API Payload Mocking: Export production SQL table dumps into JSON fixtures for unit tests and frontend mocking in Cypress or Jest.
NoSQL Document Migration: Transform SQL table exports into document collections for ingestion into MongoDB or AWS DynamoDB.

Real example

Worked example: an INSERT statement to JSON

Input: SQL: INSERT INTO users (id, name) VALUES (1, 'Ada'), (2, 'Lin');
Output: →[ { "id": 1, "name": "Ada" }, { "id": 2, "name": "Lin" } ] — column names become keys, each row an object.

Numeric literals stay numbers and quoted values stay strings, matching the types you declared in the INSERT.

Worked example: JSON back to SQL

Input: JSON: [ { "sku": "A1", "qty": 12 }, { "sku": "B2", "qty": 8 } ]
Output: →INSERT INTO products (sku, qty) VALUES ('A1', 12), ('B2', 8); — table name editable before export.

The reverse direction is a quick way to seed a test table from a JSON fixture.

Privacy & data handling

This tool runs entirely in your browser. What you enter is processed on your own device using JavaScript and WebAssembly — it is not uploaded to our servers, and there is no account, no signup and no per-use limit. Read our privacy policy.

Frequently Asked Questions

How does the SQL to JSON converter parse INSERT queries?

The parser reads the SQL INSERT INTO table (columns...) VALUES (...) statement, extracts column identifiers, and parses each value tuple into a structured JavaScript object with preserved numbers, booleans, and null values.

How are SQL data types mapped into JSON format?

SQL VARCHAR/TEXT strings become JSON strings, INTEGER/DECIMAL numbers become JSON numbers, TRUE/FALSE booleans become JSON booleans, and SQL NULL is properly mapped to JSON null.

Can I generate SQL INSERT queries from a JSON array?

Yes. Switch mode to "JSON to SQL", paste an array of JSON objects, and the tool will automatically extract keys as columns and generate parameterized SQL INSERT statements.

Does this tool support bulk multi-row SQL dumps?

Yes. It seamlessly parses multi-row INSERT queries containing hundreds of comma-separated value tuples into a single clean JSON array.

How are escaped single quotes handled in SQL strings?

Standard SQL single-quote escapes ('' or \') are decoded into standard unescaped characters in the JSON output, and re-escaped when converting from JSON back to SQL.

Which SQL database dialects are supported?

The generated SQL syntax is compliant with standard ANSI SQL, MySQL, PostgreSQL, SQLite, MariaDB, and Microsoft SQL Server.

Is my confidential database data safe and private?

Yes, 100%. All conversion occurs entirely within your browser client memory. No database queries, records, or tables are ever uploaded or transmitted to any server.

Can I download the converted data as a file?

Yes. Click the Download button to save the output directly as a .json file or a .sql script.

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Free SQL to JSON Converter

Convert SQL INSERT statements and database dumps into JSON objects, or generate SQL queries from JSON.

Tanbir Ahamed·Founder of ToolWise · Software Engineer

Published August 2026

100% Client-Side Database Converter

Mode: SQL → JSON

SQL INSERT Input

Parsed JSON Output383 chars

[
  {
    "id": 1,
    "name": "Tanbir Ahamed",
    "email": "[email protected]",
    "role": "Admin",
    "is_active": true
  },
  {
    "id": 2,
    "name": "Sarah Connor",
    "email": "[email protected]",
    "role": "Editor",
    "is_active": true
  },
  {
    "id": 3,
    "name": "John Smith",
    "email": "[email protected]",
    "role": "User",
    "is_active": false
  }
]

How to Use

1Select your conversion direction: SQL to JSON or JSON to SQL.
2Paste your SQL INSERT query or JSON array into the editor (or click Load Sample).
3Inspect the formatted output and click Copy or Download.

Features

✓Bidirectional conversion between SQL INSERT statements and JSON arrays
✓Automatic data type parsing (numbers, booleans, NULL values, quoted strings)
✓Customizable SQL target table name and column mapping
✓1-click Copy and file download (.json or .sql)
✓100% private in-browser tool with zero server uploads

Comprehensive Guide & Reference

Comprehensive Guide & Reference: SQL to JSON & Relational Data Migration

Translating relational database tables (SQL) into document-oriented schemas (JSON) is a core step when migrating legacy MySQL or PostgreSQL databases to MongoDB, Firebase, or REST APIs.

1. Type Mapping Between SQL & JSON

SQL Relational Type	JSON Data Type	Example Conversion
VARCHAR / TEXT	string	`'Alice'` → `"Alice"`
INT / FLOAT / NUMERIC	number	`42, 19.99` → `42, 19.99`
BOOLEAN / TINYINT(1)	boolean	`TRUE / FALSE` → `true / false`
NULL	null	`NULL` → `null`

2. Common Migration Use Cases

Database Seeding: Convert JSON mock data generated by LLMs or Faker.js directly into SQL INSERT statements to populate local test databases.
API Payload Mocking: Export production SQL table dumps into JSON fixtures for unit tests and frontend mocking in Cypress or Jest.
NoSQL Document Migration: Transform SQL table exports into document collections for ingestion into MongoDB or AWS DynamoDB.

Real example

Worked example: an INSERT statement to JSON

Input: SQL: INSERT INTO users (id, name) VALUES (1, 'Ada'), (2, 'Lin');
Output: →[ { "id": 1, "name": "Ada" }, { "id": 2, "name": "Lin" } ] — column names become keys, each row an object.

Numeric literals stay numbers and quoted values stay strings, matching the types you declared in the INSERT.

Worked example: JSON back to SQL

Input: JSON: [ { "sku": "A1", "qty": 12 }, { "sku": "B2", "qty": 8 } ]
Output: →INSERT INTO products (sku, qty) VALUES ('A1', 12), ('B2', 8); — table name editable before export.

The reverse direction is a quick way to seed a test table from a JSON fixture.

Privacy & data handling

Frequently Asked Questions

How does the SQL to JSON converter parse INSERT queries?

How are SQL data types mapped into JSON format?

SQL VARCHAR/TEXT strings become JSON strings, INTEGER/DECIMAL numbers become JSON numbers, TRUE/FALSE booleans become JSON booleans, and SQL NULL is properly mapped to JSON null.

Can I generate SQL INSERT queries from a JSON array?

Yes. Switch mode to "JSON to SQL", paste an array of JSON objects, and the tool will automatically extract keys as columns and generate parameterized SQL INSERT statements.

Does this tool support bulk multi-row SQL dumps?

Yes. It seamlessly parses multi-row INSERT queries containing hundreds of comma-separated value tuples into a single clean JSON array.

How are escaped single quotes handled in SQL strings?

Standard SQL single-quote escapes ('' or \') are decoded into standard unescaped characters in the JSON output, and re-escaped when converting from JSON back to SQL.

Which SQL database dialects are supported?

The generated SQL syntax is compliant with standard ANSI SQL, MySQL, PostgreSQL, SQLite, MariaDB, and Microsoft SQL Server.

Is my confidential database data safe and private?

Yes, 100%. All conversion occurs entirely within your browser client memory. No database queries, records, or tables are ever uploaded or transmitted to any server.

Can I download the converted data as a file?

Yes. Click the Download button to save the output directly as a .json file or a .sql script.

Free SQL to JSON Converter

How to Use

Features

Comprehensive Guide & Reference: SQL to JSON & Relational Data Migration

1. Type Mapping Between SQL & JSON

2. Common Migration Use Cases

Real example

Worked example: an INSERT statement to JSON

Worked example: JSON back to SQL

Privacy & data handling

Frequently Asked Questions

Related Tools

Related Guides

Free SQL to JSON Converter

How to Use

Features

Comprehensive Guide & Reference: SQL to JSON & Relational Data Migration

1. Type Mapping Between SQL & JSON

2. Common Migration Use Cases

Real example

Worked example: an INSERT statement to JSON

Worked example: JSON back to SQL

Privacy & data handling

Frequently Asked Questions

Related Tools

Related Guides

Free SQL to JSON Converter

Interactive Tool Workspace

How to Use

Features

1. Type Mapping Between SQL & JSON

2. Common Migration Use Cases

Real example

Worked example: an INSERT statement to JSON

Worked example: JSON back to SQL

Privacy & data handling

Frequently Asked Questions

Related Tools

Related Guides

Free SQL to JSON Converter

Interactive Tool Workspace

How to Use

Features

1. Type Mapping Between SQL & JSON

2. Common Migration Use Cases

Real example

Worked example: an INSERT statement to JSON

Worked example: JSON back to SQL

Privacy & data handling

Frequently Asked Questions

Related Tools

Related Guides