SQL to JSON Converter
SQL Input
JSON Output
About SQL to JSON Converter
Extract data from SQL INSERT statements and convert it to JSON format. This tool parses SQL INSERT queries and transforms the data into a JSON array of objects, making it easy to work with SQL data in JavaScript applications, APIs, and data processing pipelines. The parser handles multiple rows, various data types (strings, numbers, booleans, NULL), quoted values, and standard SQL INSERT syntax. Perfect for extracting test data from SQL dumps, converting database seeds to JSON for APIs, creating mock data for testing, debugging SQL queries, or migrating data between databases and JSON-based systems. Whether you're working with MySQL, PostgreSQL, SQLite, or other SQL databases, this tool helps you quickly extract and transform your data. All conversion happens in your browser for complete privacy and security.
How to Use
- Paste your SQL INSERT statement in the left panel.
- Use the format: INSERT INTO table (col1, col2) VALUES (val1, val2), (val3, val4);
- The JSON output will appear automatically on the right.
- Each row becomes an object in a JSON array.
- Column names become object keys.
- Choose your preferred JSON indent size (2 or 4 spaces).
- Click "Copy" to copy the JSON to your clipboard.
- Click "Download" to save the JSON as a .json file.
- Use "Clear" to reset both input and output.
Frequently Asked Questions
What SQL syntax is supported?
This tool supports standard SQL INSERT statements with the format: INSERT INTO table_name (column1, column2, ...) VALUES (value1, value2, ...), (value3, value4, ...). It handles multiple rows, strings (single and double quotes), numbers (integers and floats), booleans (true/false, 0/1), and NULL values. Comments (-- and /* */) are ignored.
Can I paste multiple INSERT statements?
Currently, the tool processes one INSERT statement at a time. If you have multiple INSERT statements, paste them one at a time or combine them into a single INSERT with multiple VALUE rows: INSERT INTO table (...) VALUES (...), (...), (...).
What data types are recognized?
The tool automatically recognizes: strings (quoted with ' or "), integers (123), floats (123.45), booleans (true/false or 1/0), and NULL. Strings are detected by quotes, numbers by numeric pattern, and booleans by keywords. All values are properly typed in the JSON output.
How are SQL strings handled?
Strings can be enclosed in single quotes (') or double quotes ("). Escaped quotes within strings ('' or "") are properly handled. The tool removes the quotes and preserves the actual string value in the JSON output.
What happens to the table name?
The table name from the INSERT statement is parsed but not included in the JSON output. The output is a JSON array of objects, where each object represents one row with column names as keys. The table name context is lost in the conversion.
Why would I convert SQL to JSON?
Common use cases include: extracting test data from SQL dumps, converting database seeds for API development, creating mock data for frontend testing, debugging SQL queries by visualizing data, migrating data from SQL databases to NoSQL/document stores, processing SQL exports in JavaScript applications, and sharing sample data in a more universal format.
Can I convert JSON back to SQL?
Yes! Use our JSON to SQL converter tool to convert in the opposite direction. You'll need to specify a table name, and it will generate INSERT statements from your JSON data. You'll find it in the Code Conversion Tools section.
Does this work with SELECT query results?
No, this tool specifically parses INSERT statements. If you have SELECT query results, you'll need to format them as INSERT statements first, or manually structure them as JSON. This tool is designed for INSERT statements that contain actual data values.
What if my SQL has syntax errors?
The tool will display an error message if it cannot parse your SQL. Common issues include: missing column list, missing VALUES keyword, mismatched parentheses, unclosed quotes, or incorrect INSERT syntax. Fix the syntax error and the conversion will work automatically.
Is my data secure?
Absolutely! All conversion happens entirely in your browser using JavaScript. Your SQL data never leaves your computer and is not sent to any server. You can even use this tool offline once loaded. Perfect for working with sensitive production data.