JSON to SQL Converter
Convert JSON data to SQL INSERT statements instantly.
Choose your database and start converting now. No data upload, 100% private processing.
JSONB Native Support
- JSONB Column Support
- Array Type Mapping
- Nested Object Handling
- UUID Type Detection
- Custom Type Support
- GIN Index Ready
Enterprise JSON Handling
- JSON Data Type Support
- JSON_VALUE & JSON_QUERY
- Array to Table Conversion
- IDENTITY Auto-Increment
- T-SQL Optimization
- Azure SQL Compatible
Flexible JSON Storage
- JSON Path Extraction
- Array Flattening
- AUTO_INCREMENT Keys
- InnoDB Optimized
- WordPress Compatible
- MariaDB Support
Why Convert JSON to SQL?
JSON has become the lingua franca of modern web applications, but SQL databases remain the backbone of data persistence. Converting JSON data to optimized SQL INSERT statements bridges the gap between API responses, configuration files, and relational databases. This tool eliminates manual mapping by automatically generating database-ready SQL from your JSON data, whether it’s API responses, configuration objects, or data exports.
Key Advantages
๐ 100% Private & Secure
Your JSON data never leaves your computer. All processing happens client-side using the browser’s native JavaScript engine. No uploads, no servers, complete privacy.
โก Intelligent Parsing
Automatically detects nested structures, arrays, and objects. Generates optimal schema with proper data types based on JSON content analysis.
๐ Multi-Database Support
Choose from PostgreSQL (JSONB), SQL Server (JSON), or MySQL (JSON paths). Each optimized for that database’s JSON capabilities.
๐ฏ Array & Nested Handling
Intelligently flattens nested JSON, handles arrays as separate rows or stored as JSON, and creates proper relationships between data.
๐ Performance Optimized
Generates batch inserts and indexes for JSON fields. Respects database-specific JSON functions for maximum query performance.
๐พ One-Click Export
Copy to clipboard or download your generated SQL file for easy integration into your database management tools.
Common Use Cases
API Data Import: Converting REST API responses directly into database tables for caching or archival. Configuration Storage: Storing application configuration files as structured database records. Data Migration: Migrating JSON exports from legacy systems or other platforms. NoSQL to SQL: Converting MongoDB/Firebase JSON documents to relational databases. Log Analysis: Importing JSON logs into databases for analysis and reporting. ETL Pipelines: JSON-to-SQL conversion as part of automated data pipelines.
JSON Support Across Databases
Different databases handle JSON differently. Here’s how they compare:
| Feature | PostgreSQL | SQL Server | MySQL |
|---|---|---|---|
| JSON Column Type | JSON & JSONB | JSON (VARCHAR(MAX)) | JSON |
| Native Indexing | GIN/GIST (JSONB) | Computed Columns | Generated Columns |
| Query Functions | @>, <@, -> | JSON_VALUE, JSON_QUERY | JSON_EXTRACT, JSON_SET |
| Performance | Excellent | Good | Good with indexes |
| Storage Format | Binary (JSONB) | Text | Text |
