SQL to JSON Converter

What is a SQL to JSON Converter?

A SQL to JSON converter turns tabular SQL data into JSON — the de-facto data-exchange format of modern web APIs. Instead of hand-writing JSON fixtures or copy-pasting database output into a script, you paste SQL INSERT statements or SELECT result rows and the tool parses the column names and values into a clean JSON array of objects. It handles multi-row VALUES clauses, multiple INSERT statements, and common SQL literals such as NULL, TRUE, FALSE, and quoted strings with escaped quotes. The output is properly indented JSON ready for API mocks, test fixtures, front-end prototypes, or NoSQL migrations — all processed locally in your browser, so your data never leaves your machine. JSON is a natural target because it is language-agnostic, human-readable, and understood by every modern runtime, so the result needs no custom parsing on the other end.

How to Use the Converter

1. Choose a mode with the tabs at the top: INSERT → JSON for INSERT statements, or SELECT → JSON for query result rows.
2. Paste your SQL into the input panel (or click an Example button to load sample data).
3. Click Convert, or press Ctrl+Enter.
4. Review the JSON array in the output panel — each row becomes one object keyed by column name.
5. Click Copy to place the JSON on your clipboard, and Clear to start over.

Common Use Cases

• Generating seed data and fixtures for automated tests and CI pipelines.
• Converting database dumps into JSON documents for NoSQL stores like MongoDB or Elasticsearch.
• Creating mock API responses while the back-end is still under development.
• Moving small tables between a SQL database and a spreadsheet, chart, or visualization tool.
• Sharing sample data with teammates in a format any language or tool can parse.
• Feeding downstream ETL or reporting scripts that expect JSON input.

Example

Paste an INSERT statement and get back a JSON array where each row is an object.

Tips

Use INSERT mode for clean, typed conversion: numbers stay numbers, TRUE/FALSE become booleans, and NULL becomes JSON null. For SELECT mode, paste the query followed by a header row and data rows separated by pipes (|), tabs, or commas — separator lines like --- are skipped automatically. Values are auto-typed, so quoted strings remain strings while bare numbers become numbers. If your output looks wrong, check that every data row has the same number of columns as the header. Because conversion is entirely client-side, you can safely process sensitive production data without uploading it anywhere. The output uses double-quoted keys and values, so it is valid JSON out of the box and can be validated with any JSON tool or pasted directly into a script.

Frequently Asked Questions

How do I convert SQL query results to JSON?

Paste your SQL INSERT statements or SELECT query results into the input box, choose the conversion mode (INSERT to JSON or SELECT to JSON), and click Convert. The tool parses the column names and values and prints a clean JSON array of objects that you can copy into your application, an API response, or a .json fixture file.

What SQL formats does the converter support?

The converter handles standard INSERT INTO ... VALUES statements, including multi-row VALUES lists and several statements in one paste, plus pipe-delimited, tab-delimited, or comma-separated SELECT result sets copied straight out of a query console. NULL becomes JSON null, numbers stay numbers, and TRUE/FALSE become booleans.

Is my data safe when converting SQL to JSON?

Yes. Conversion runs entirely client-side in your browser, so your SQL never leaves your device: there is no server processing, no upload, and no logging. You can paste production rows containing customer records and nothing is transmitted anywhere.

How do I convert SQL data into JSON format step by step?

1) Get the rows as SQL text: export the table with mysqldump --no-create-info or pg_dump --inserts, or copy the SELECT output with its header row. 2) Paste it into the input box and pick INSERT mode or SELECT mode. 3) Click Convert and copy the JSON. Keys are taken from the column names, so the JSON field names match your table columns exactly and downstream code needs no mapping.

Can I convert a whole database to JSON?

There is no one-click "dump the whole database to JSON" button: the converter works one table at a time. Take a data-only dump without the DDL wrapper (mysqldump --no-create-info --skip-extended-insert for MySQL, pg_dump --inserts for PostgreSQL), paste each table's INSERT statements in turn, and you get one JSON array per table. If the dump is too large to paste, split it first with the help of formatting large SQL files.

What should I check if the SQL to JSON output looks wrong?

Four usual causes: a data row with a different number of columns than the header row gets skipped or misaligned; strings containing the delimiter need to be quoted; escaped quotes inside values (O''Brien) must stay escaped; and each multi-row VALUES statement should end with a semicolon. Validate the result in a JSON formatter, and see the SQL to JSON converter guide for worked examples.