SQL to JSON Converter Online - SQL Results to JSON

Convert SQL results to JSON format. Fast, secure, and completely free. All processing happens in your browser — no data is sent to any server.

What is SQL to JSON?

SQL to JSON conversion parses the result rows implied by an INSERT statement or a tabular SQL result set and converts them into an array of JSON objects, using column names as keys — essentially the SQL equivalent of CSV to JSON, letting you take data expressed in SQL statement form and turn it into a structure that's directly usable in JavaScript, a JSON API, or a NoSQL database import.

How to Use SQL to JSON

  1. Paste SQL INSERT statements or a tabular result set into the input panel
  2. Click 'Convert' to parse the column names and values into JSON objects
  3. Review the resulting JSON array, one object per row
  4. Copy or export the JSON for use in an application or another data pipeline step
  5. Use JSON to SQL to reverse the conversion if you need to go back to SQL statements

Key Features

Why Use SQL to JSON?

Data locked inside a database seed script, a migration file, or a query result often needs to travel to a system that speaks JSON, not SQL — a JavaScript test fixture, a document database import, or a JSON-based API mock. Rather than manually retyping each row's values into JSON syntax, converting directly preserves the exact data and types while reshaping it into the format your target system actually needs.

Common Use Cases

Frequently Asked Questions

How does it handle SQL NULL values?

SQL NULL is converted to JSON's null value, correctly distinguishing it from an empty string or the number zero, since these represent different things in most applications.

Can it parse multiple INSERT statements at once?

Yes, multiple statements (or a single multi-row INSERT) are parsed together, producing one combined JSON array with all the resulting row objects.

Does it need to know the table's actual schema to convert correctly?

For a standard INSERT INTO table (col1, col2, ...) VALUES (...) statement, the column names are read directly from the statement itself, so no separate schema definition is required.

What happens to SQL-specific types like DATE or DECIMAL?

They're converted to their most natural JSON representation — typically strings for dates and numbers for decimals — since JSON doesn't have native equivalents for many SQL-specific column types.

Is my SQL data sent anywhere during conversion?

No, parsing and conversion both happen locally in your browser.

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