SQL to JSON Converter
SQL Input
Paste SQL INSERT statement and use Validate or Convert buttons
Settings
Paste SQL INSERT and click Convert to JSON
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About SQL to JSON Converter
Convert SQL INSERT statements to JSON format. Extract data from SQL queries instantly. Free online converter for developers.
How to Use
Step 1
Paste your SQL INSERT statement into the input field
Step 2
Load examples to see different SQL formats (basic, multiple rows, data types)
Step 3
Click 'Validate SQL' to check for syntax errors
Step 4
Click 'Format' to beautify SQL with proper indentation
Step 5
Configure settings: indent size, include table name option
Step 6
Click 'Convert to JSON' to generate JSON output
Step 7
View statistics: table name, row count, column count
Step 8
Copy the JSON output to use in your project
Features & Benefits
- ✅Convert SQL INSERT statements to JSON array
- ✅Support single and multiple row inserts
- ✅Automatic type detection (strings, numbers, booleans, null)
- ✅Handle quoted strings with proper escaping
- ✅Support for single quotes (') and double quotes (")
- ✅Parse NULL, TRUE, FALSE values correctly
- ✅Optional table name wrapping in JSON output
- ✅5 SQL examples: basic, multiple rows, data types, quotes, complex
- ✅Validate SQL syntax with detailed error messages
- ✅Format SQL with proper indentation
- ✅Configurable JSON indent size (2, 4, or 8 spaces)
- ✅Statistics: table name, row count, column count
- ✅One-click copy to clipboard
- ✅Real-time validation and error messages
- ✅100% browser-based - SQL never sent to server
- ✅100% free - no limits, no signup required
FAQs
What SQL statements are supported?
Currently, we support SQL INSERT statements with the format: INSERT INTO table_name (columns) VALUES (values). Both single-row and multi-row inserts are supported. Other SQL statements (SELECT, UPDATE, DELETE) are not supported at this time.
Can I convert multiple INSERT statements at once?
No, the converter processes one INSERT statement at a time. However, you can include multiple rows in a single INSERT statement using the format: VALUES (row1), (row2), (row3). This is the recommended approach for bulk data.
How are data types handled?
The converter automatically detects types: quoted strings ('text' or "text") become strings, unquoted numbers become numeric values, TRUE/FALSE become booleans, and NULL becomes null. This ensures the JSON output has proper JavaScript types.
What if my strings contain quotes?
The converter handles escaped quotes properly. Use double single quotes ('') or backslash escaping (\'). For example: 'It''s working' or 'It\'s working' both convert correctly to "It's working" in JSON.
Should I include the table name in JSON?
It depends on your use case. Unchecked (default) produces a simple JSON array: [{...}, {...}]. Checked wraps the array with the table name: {"users": [{...}, {...}]}. Use the wrapped format if you need to identify which table the data came from.
What if column count doesn't match value count?
The converter validates that each row has the same number of values as there are columns. If there's a mismatch, you'll get an error message like "Column count mismatch: expected 3 values, got 2". Check your SQL for missing or extra values.
Can I use backticks around table/column names?
Yes! The converter supports backticks (`table_name`, `column_name`) commonly used in MySQL. They're automatically removed during parsing, so both `users` and users work the same way.
Are SQL comments supported?
Yes! Both single-line comments (-- comment) and multi-line comments (/* comment */) are automatically removed during parsing. This allows you to include documentation in your SQL without affecting conversion.
What are the SQL examples for?
Click 'Examples' to load pre-made SQL samples: Basic (simple insert), Multiple (multiple rows), Types (different data types), Quotes (strings with quotes), and Complex (realistic example). Great for learning SQL syntax or testing the converter.
Can I use this for database migration?
Absolutely! This tool is perfect for converting SQL INSERT statements to JSON for importing into NoSQL databases (MongoDB, Firebase), REST APIs, or JavaScript applications. It's commonly used for database migration and data transformation tasks.
Is my SQL data secure?
Yes! All SQL processing happens entirely in your browser using JavaScript. Your SQL statements and data never leave your device and are not sent to any server, ensuring complete privacy and security.