What Is a JSON to SQL Converter?
A JSON to SQL converter transforms a JSON array of objects into SQL statements — including a CREATE TABLE definition with auto-detected column types and INSERT statements for every row. Instead of manually mapping JSON keys to SQL columns, you paste your data and get database-ready SQL in seconds. This tool runs 100% in your browser — your data is never uploaded to any server.
It supports file upload, drag-and-drop, URL import, batch INSERT mode, schema prefixes, configurable NULL handling, automatic type detection (INTEGER, REAL, BOOLEAN, TEXT), and syntax-highlighted output.
How to Use This Tool
Add Your JSON
Paste a JSON array of objects into the input area, click Upload to select a .json file, drag and drop a file, or use URL Import to fetch JSON from an API endpoint.
Generate SQL
Click Generate SQL to produce a CREATE TABLE statement with auto-detected column types and INSERT statements for every object in the array.
Customize SQL Options
Set the table name, schema prefix, empty value handling (NULL or empty string), and toggle batch INSERT mode in the output toolbar.
Copy or Download
Copy the generated SQL to your clipboard or download it as a .sql file. The syntax-highlighted output lets you verify the statements before running them.
Features Explained
Automatic Type Detection
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The tool analyzes all values for each key across the entire JSON array and determines the best SQL type: INTEGER for whole numbers, REAL for decimals, BOOLEAN for true/false values, and TEXT for everything else. Null and empty values are excluded from type inference.
CREATE TABLE Generation
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A complete CREATE TABLE statement is generated with column names derived from JSON keys and types from automatic detection. Column names are backtick-quoted to safely handle reserved words and special characters.
Batch INSERT Mode
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When enabled, all rows are combined into a single INSERT statement with multiple VALUE tuples separated by commas. This is significantly faster for large datasets. When disabled, each row gets its own INSERT INTO ... VALUES statement.
Schema Prefix
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Add an optional schema or database prefix (e.g., dbo, public, mydb) that appears before the table name in the generated SQL, producing fully qualified references like `dbo`.`my_table`.
Empty Value Handling
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Choose how null, undefined, and empty string values in your JSON are treated in the SQL output. NULL inserts the SQL NULL keyword. Empty string inserts an empty quoted string ''.
File Upload & Drag-and-Drop
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Upload a .json or .txt file using the Upload button, or drag and drop a file directly onto the input area. The file contents are loaded into the textarea for conversion.
URL Import
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Click URL Import to fetch JSON from any remote address or API endpoint. The request goes directly from your browser to the target server — no intermediary.
Syntax-Highlighted Output
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The generated SQL is displayed with color-coded syntax highlighting — keywords (CREATE TABLE, INSERT INTO, VALUES, NULL) in blue, identifiers in amber, strings in green, and numbers in purple.
Copy & Download
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Copy the entire generated SQL to your clipboard with one click, or download it as a .sql file named after your table. The syntax-highlighted view lets you review before using.
LocalStorage Persistence
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Your input JSON, generated output, and all settings are automatically saved to your browser's local storage. If you close the tab or refresh the page, your data will be restored.
Who Is This Tool For?
Backend Developers
Convert JSON API payloads or config data into SQL for seeding databases, creating migrations, or building test fixtures.
Database Administrators
Import JSON data exports into relational databases without manually writing CREATE TABLE and INSERT statements.
Data Engineers
Transform JSON data from APIs, message queues, or document stores into SQL for loading into data warehouses.
QA Engineers
Generate SQL test data from JSON fixtures to populate test databases reproducibly.
Full-Stack Developers
Bridge the gap between JSON-based frontends and SQL-based backends by quickly converting between formats.
Students & Learners
Understand how JSON data structures map to SQL tables, columns, and types.
Type Detection Rules
| SQL Type | JSON Values | Example |
|---|---|---|
| INTEGER | All non-null values are whole numbers | 1, 42, -7 |
| REAL | All non-null values are numbers (with decimals) | 3.14, 0.5, -2.7 |
| BOOLEAN | All non-null values are true or false | true, false |
| TEXT | Mixed types or any strings | "hello", "2024-01-01" |
Tips for JSON to SQL Conversion
Use Batch INSERT for large datasets
Batch mode generates a single INSERT with multiple VALUE tuples, which is significantly faster than individual INSERT statements when loading many rows.
Set the correct table name
Make sure your table name matches what exists in your database or what you intend to create. The tool automatically escapes it with backticks.
Review detected types
The auto-detected SQL types are based on all values in the array. If a column has mixed numbers and strings, it defaults to TEXT. Review the CREATE TABLE output.
Handle nested objects
Nested JSON objects and arrays are converted to their JSON string representation in TEXT columns. For complex data, consider flattening your JSON first.
Use schema prefix for clarity
When working with multiple schemas, set the schema prefix to generate fully qualified table references like `dbo`.`my_table`.
Review before running
Always review the generated SQL before executing it. Check column types, NULL values, and escaped strings for correctness.
Privacy & Security
This tool runs 100% in your browser. Your JSON data is never uploaded to any server. All parsing, type detection, and SQL generation happens locally using JavaScript.
Your input and output are saved only in your browser's local storage so they persist when you refresh the page. You can clear them at any time using the “Clear” button. No cookies are used, no analytics track your data content, and no third-party services have access to what you convert.