SQL to JSON Converter

Parse SQL INSERT INTO queries and transform standard data dumps into structured JSON arrays instantly.

Input SQL Statements 0 lines

Output JSON 0 records

Output Formatting

Data Type Handling

Parse Numbers & Booleans

Convert NULL to null

Native Database JSON Formatting

Database Engine	SQL Query for Native JSON Output
PostgreSQL	`SELECT json_agg(t) FROM (SELECT * FROM users) t;`
SQL Server (T-SQL)	`SELECT * FROM Users FOR JSON AUTO;`
MySQL (8.0+)	`SELECT JSON_ARRAYAGG(JSON_OBJECT('id', id, 'name', username)) FROM users;`

What is SQL to JSON Converter?

Parse SQL INSERT INTO queries and transform standard data dumps into structured JSON arrays instantly.

How to use SQL to JSON Converter

Enter or paste the values requested in the input fields.
Choose any options provided, then run an action button if the tool requires one.
Review the result and copy or adjust it as needed.

SQL to JSON Converter features

Available tool controls: Convert to JSON.
Input and option fields: Data Type Handling, Parse Numbers & Booleans, Convert NULL to null.

Using SQL to JSON Converter in a development workflow

Use a representative sample before processing a full dataset. Review the available fields and actions, check the output against an expected result, and verify any assumptions that matter to the application or format consuming it.

Try the statement against a safe sample

Run a SELECT using the intended filter before making a write. Confirm the affected rows are the ones you expect.
Pay attention to these page fields: Data Type Handling, Parse Numbers & Booleans, Convert NULL to null. Confirm which fields are inputs, options, or output areas before processing.
The page exposes these relevant actions: Convert to JSON. Choose only the action that matches the result you need.
Validate the statement against the database engine and schema that will run it; this page cannot confirm permissions, constraints, or production data.

Check dialect and data assumptions

Review identifiers, types, escaping, constraints, and database dialect before running generated SQL. Test changes on sample data or a safe transaction first.

Frequently Asked Questions

The parser supports standard SQL INSERT INTO table_name (columns...) VALUES (...) statements, including multi-row values, quoted strings, numeric values, and NULL identifiers generated by MySQL, PostgreSQL, or SQL Server backups.