JSON to SQL Converter β Transform JSON Data into SQL Tables & Queries
The JSON to SQL Converter is a browser-based data conversion tool that helps you seamlessly convert any valid JSON data into structured SQL statements. Whether your JSON file contains flat records or complex nested objects, this tool automatically analyzes the structure and produces optimized CREATE TABLE and INSERT INTO statements. It works entirely on your device β ensuring that your data remains private and never leaves your browser.
Upload or Paste JSON Instantly
You can begin by uploading a .json file or directly pasting your JSON data into the editor on the left
side of the interface. The tool uses a real-time JSON validator to verify that your input is
syntactically correct. If the JSON is valid, it will be parsed and displayed in a
formatted preview panel using a collapsible tree view. Invalid JSON instantly triggers a red error
message so you can correct it before conversion.
Live JSON Preview and Structure Visualization
The preview pane lets you explore the JSON hierarchy before generating SQL. Arrays, objects, and nested structures are visually represented to help you understand how your data will be mapped to relational tables. Collapsible nodes provide an intuitive way to inspect nested elements, ensuring you can confirm the structure before proceeding.
Automatic Conversion to SQL
Once your JSON data is ready, simply click the βConvert JSONβ button. The converter analyzes your data and generates SQL statements automatically. It determines whether your JSON is flat or hierarchical:
- Flat JSON: Creates a single SQL table with columns for each key and generates all corresponding INSERT statements.
- Nested JSON: Detects embedded arrays or objects and produces multiple relational tables. It assigns primary keys, foreign keys, and relationship comments that describe one-to-many structures.
The resulting SQL output includes complete CREATE TABLE definitions with inferred column types
(INTEGER, VARCHAR, TEXT, BOOLEAN, or JSONB)
based on detected data types. All special characters and strings are automatically sanitized to prevent syntax
errors or SQL injection.
Smart SQL Type Detection
Each value in your JSON data is analyzed to determine the best SQL type:
- Numbers are mapped to
INTEGERorDECIMAL(10,2). - Strings are assigned
VARCHAR(255)orTEXTfor longer values. - Booleans become
BOOLEANfields. - Arrays and objects are stored as
JSONBvalues for flexibility.
This ensures your exported SQL code is both accurate and database-ready β compatible with MySQL, PostgreSQL, and SQLite systems.
Instant SQL Output, Copy, and Export
After conversion, the generated SQL code appears in a dedicated output panel. You can:
- Copy to Clipboard: Use the π button to copy all SQL statements instantly.
- Export File: Download the output as a
.sqlfile with one click. - Scroll to Output: After conversion, the browser automatically scrolls to the result section so you can access it without manual navigation.
A subtle toast notification confirms each successful conversion, copy, or export action.
Full Offline Privacy
All operations are performed entirely within your browser using JavaScript. No server communication occurs, which means:
- Your JSON data never leaves your device.
- No files are uploaded or stored online.
- The tool works even when offline or in restricted environments.
Supported Browsers
The converter runs smoothly on all modern browsers including Chrome, Edge, Firefox, Safari, and Opera. It requires no extensions or installations β simply open the page and start converting.
Features Overview
- β Real-time JSON validation and error detection.
- β Automatic table and column creation based on nested structures.
- β Intelligent SQL type inference for optimal compatibility.
- β One-click copy and export options.
- β No upload, no tracking, 100% privacy guaranteed.
How the JSON to SQL Converter Works
- Upload or Paste JSON: Provide your data in the editor.
- Preview Structure: Verify formatting and hierarchy visually.
- Convert: Click βConvert JSONβ to generate SQL instantly.
- Review Output: Scroll to the SQL section to see
CREATE TABLEandINSERTstatements. - Export or Copy: Save as a file or copy to clipboard for integration into your database system.
Use Cases
- πΎ Migrating JSON API data to SQL databases.
- π§© Structuring JSON configurations or logs into relational format.
- π Importing web data, user info, or analytics into SQL for queries.
- π§ Learning relational modeling from nested JSON structures.
Example Conversion
Below is an example of how a JSON object is converted to SQL:
{
"user": {
"id": 1,
"name": "Alice",
"email": "alice@example.com",
"roles": ["admin", "editor"]
}
}
Generated SQL:
CREATE TABLE user_table (
id SERIAL PRIMARY KEY,
name VARCHAR(255),
email VARCHAR(255),
roles JSONB
);
INSERT INTO user_table (name, email, roles)
VALUES ('Alice', 'alice@example.com', '["admin","editor"]');
Why Choose This Converter?
- Completely free and open in your browser.
- Accurate mapping from nested JSON to normalized SQL tables.
- No external dependencies or installations.
- Fast and lightweight, optimized for developers and analysts.