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SQL to JSON Converter

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The SQL to JSON Converter is your go-to solution when you need fast, accurate, and readable JSON output from SQL queries. Whether you’re building APIs, testing data, or learning SQL, this tool helps you work smarter and save valuable time.

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Free Online SQL to JSON Converter

Converting relational database queries into JSON format is a frequent step in modern web development. Whether you are building RESTful APIs, migrating database records to NoSQL databases like MongoDB, or seeding mock data for JavaScript applications, converting SQL rows to structured JSON arrays saves significant time over manual reformatting.

This SQL to JSON Converter instantly processes your SQL queries, CREATE TABLE definitions, and INSERT INTO statements directly in your web browser.

How to Use the SQL to JSON Converter

  1. Copy your SQL query.
  2. Paste it into the text box.
  3. Click Convert to JSON.
  4. Copy or download the JSON output—done!

Example

SQL Input:

CREATE TABLE MortgageCompanies (ID INTEGER PRIMARY KEY, NAME CHAR(30));
      INSERT INTO
        MortgageCompanies
      VALUES
        (1, 'Quicken Loans');
      INSERT INTO
        MortgageCompanies
      VALUES
        (2, 'Wells Fargo Bank');
      INSERT INTO
        MortgageCompanies
      VALUES
        (3, 'JPMorgan Chase Bank');
      SELECT
        *
      FROM
        MortgageCompanies;

JSON Output:

[
    {
        "ID": "1",
        "NAME": "Quicken Loans"
    },
    {
        "ID": "2",
        "NAME": "Wells Fargo Bank"
    },
    {
        "ID": "3",
        "NAME": "JPMorgan Chase Bank"
    }
]

How SQL Structure Maps to JSON Data

Relational databases organize information into tabular rows and columns, whereas JSON structures data as objects and key-value pairs.

When you convert SQL to JSON:

  • Database rows are converted into individual JSON objects {}.
  • Column names become JSON object keys.
  • Data values are parsed into corresponding JSON data types.
  • Multiple rows are wrapped inside a JSON array [].

Common Use Cases

  • API Mocking: Quickly build static sample JSON responses for frontend development before backend endpoints are fully integrated.
  • NoSQL Database Ingestion: Prepare relational dataset dumps from MySQL, PostgreSQL, or SQL Server for import into MongoDB, Firebase, or DynamoDB.
  • State Management: Transform database records into initial state data for React, Vue, or Angular web applications.
  • Config Files: Extract system configuration tables into structured .json configuration files.

Related SQL & Data Utilities

Need to clean up or transform database structures into other formats? Try these related tools:

  • SQL Formatter & Beautifier – Clean up messy or minified SQL queries with proper line breaks and keyword capitalization before converting.
  • SQL to CSV Converter – Transform relational database records into tabular CSV files for Excel, Google Sheets, or data reporting tools.

FAQs

1. Can this tool convert SQL queries that contain JOINs into JSON?

Yes! If your SQL query includes JOIN statements, the tool attempts to structure the resulting dataset into nested or flat JSON objects, depending on the query format.

2. Does this tool support SELECT statements?

Yes! You can paste SELECT queries and instantly get JSON-formatted results.

3. Is my data safe?

Absolutely. Everything happens inside your browser—nothing is stored or uploaded.

4. Can I convert multiple INSERT rows at once?

Yes, the tool automatically converts all rows into a JSON array.

5. Is the JSON output readable?

Yes, the tool formats the JSON with proper indentation for easy reading.

6. What happens if my SQL query has syntax errors?

The tool will not be able to generate JSON. If there’s incorrect syntax, missing commas, or misordered keywords, you’ll be asked to fix your SQL before converting.

7. Does the tool support SQL with multiple statements at once?

Yes. You can paste multiple INSERT, SELECT, or CREATE TABLE statements, and the tool will process them in sequence, creating JSON outputs wherever applicable.

8. Can I use the JSON output directly in APIs or JavaScript apps?

Definitely. The JSON generated is clean, valid, and ready to use in REST APIs, Node.js, React, Angular, Vue, and other frontend or backend environments.

9. Can this tool convert MySQL, PostgreSQL, and SQL Server queries?

Yes! The converter is compatible with all common SQL dialects and automatically understands most SQL formats, regardless of database type.

10. What SQL dialects does this converter support?

The parser supports standard ANSI SQL statements, including syntax from MySQL, PostgreSQL, SQLite, MariaDB, Oracle, and Microsoft SQL Server.

11. How are SQL NULL values handled in JSON?

SQL NULL keywords are automatically converted to unquoted JSON null literals, maintaining standard data representation.

12. How are date and timestamp values converted?

Since JSON does not have a native date data type, SQL dates and timestamps are formatted as valid JSON strings (e.g., "2026-08-08" or "2026-08-08T10:19:36Z").

13. Can I convert CREATE TABLE schema definitions?

Yes. If you paste a CREATE TABLE query along with INSERT INTO statements, the tool extracts column definitions and values to build a complete JSON dataset representation.

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