Data Migration Between JSON and SQL
Moving data between JSON-based systems and relational databases is one of the most common tasks in software development. APIs return JSON, NoSQL databases store JSON documents, and configuration files use JSON — but your production database speaks SQL. This tool bridges that gap instantly.
When to Use JSON to SQL Conversion
Transform JSON fixture files into SQL INSERT statements to seed development or staging databases quickly.
Take JSON responses from REST APIs and generate SQL to import the data into MySQL, PostgreSQL, or SQLite tables.
Convert SQL INSERT dumps into JSON for analysis in JavaScript-based tools, data visualization, or document databases.
Quickly generate SQL statements from mock JSON data to test database queries, stored procedures, or migration scripts.
SQL Dialect Differences
MySQL uses backtick-quoted identifiers and represents booleans as 1 and 0. PostgreSQL uses double-quoted identifiers and supports native TRUE/FALSE keywords. SQLite uses double-quoted identifiers and integer booleans. This tool handles these differences automatically so your generated SQL runs without modification on your target database.
Batch vs. Individual Inserts
Batch inserts group all rows into a single INSERT statement with multiple value tuples. This is significantly faster for large datasets because the database parses and optimizes one statement instead of many. Individual inserts produce one statement per row, which is easier to debug, edit selectively, and use in transactional scripts where you need granular control over each row.
Frequently Asked Questions
How does JSON to SQL conversion work?
The tool reads a JSON array of objects, extracts all unique keys as column names, and generates INSERT statements with properly escaped values. Strings are quoted, numbers stay raw, null becomes NULL, and booleans map to dialect-appropriate values.
What SQL dialects are supported?
MySQL, PostgreSQL, and SQLite. Each dialect uses the correct identifier quoting and boolean representation.
What is the difference between batch and individual inserts?
Batch insert groups all rows into one INSERT statement for better performance. Individual inserts produce one statement per row for easier debugging and selective editing.
Can I convert SQL INSERT statements back to JSON?
Yes. Switch to SQL-to-JSON mode, paste your INSERT statements, and the tool parses them into a JSON array of objects with correct types.
Is my data processed on a server?
No. All conversion runs entirely in your browser. Your data never leaves your device.