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SQL to JSON Converter

Conversion

Convert SQL SELECT queries or results into formatted JSON arrays.

0
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SQL INSERT statements3 rows
JSON
[
  {
    "id": 1,
    "name": " Ada Lovelace",
    "active": true,
    "role": " admin"
  },
  {
    "id": 2,
    "name": " Grace Hopper",
    "active": true,
    "role": " engineer"
  },
  {
    "id": 3,
    "name": " Alan Turing",
    "active": false,
    "role": null
  }
]

A SQL result set carries types JSON was never designed to hold exactly, a DATETIME column, a DECIMAL value that needs to stay a decimal rather than lose precision as a floating-point number the way money values often do when converted carelessly, and a NULL that has to map cleanly onto JSON's own null rather than an empty string or a missing key. This tool converts SQL SELECT queries or their results into formatted JSON arrays, handling those type conversions deliberately rather than leaving decimal precision or null handling to chance.

See more about the SQL to JSON Converter

Useful for converting a query result containing decimal currency values into JSON without losing precision, turning a SELECT statement's output into a JSON array for an API response, or exporting database rows into JSON with NULL values mapped correctly rather than left ambiguous.

Key features

  • Clean interface
  • Fast processing
  • No signup required
  • Works offline

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Quick answers for SQL to JSON Converter

What does the SQL to JSON tool do?
It parses SQL `INSERT INTO table (cols...) VALUES (...)` statements and emits the rows as a JSON array - handy when you need to load fixture data into an app, generate seed JSON from a SQL dump, or eyeball a few rows.
Can it run SELECT queries?
No. There's no database in your browser, so the tool can't execute queries against your data. It parses INSERT statements only - the structured form where rows live inline in the SQL text.
Which SQL dialects work?
Standard MySQL, PostgreSQL, and SQLite-style INSERTs all parse cleanly: backtick or double-quoted identifiers, single-quoted strings, NULL/TRUE/FALSE literals, numeric values, multiple rows per VALUES clause, and -- or /* */ comments.
What about INSERT statements without column names?
They work - values are emitted as `col1`, `col2`, etc. Add an explicit column list (`INSERT INTO t (a, b) VALUES (...)`) to get meaningful keys in the JSON output.
Is my SQL sent anywhere?
No. Parsing happens locally in your browser. Database dumps often contain PII, internal IDs, and credentials in connection strings - nothing leaves the page.