Is this JSON to SQL converter free?

Yes, it is completely free and works entirely offline in your browser.

Does my data leave my computer?

No. All conversion happens locally in your browser; no data is sent to any server.

What types of SQL can it generate?

You can generate INSERT statements for existing tables or complete CREATE TABLE schemas, with support for MySQL, PostgreSQL, and SQLite.

Can I customize the generated SQL?

Yes. You can define table names, column names, choose SQL dialects, and configure data types.

How does it handle nested JSON?

Nested objects can be flattened into columns or used to generate separate, related tables, depending on your configuration.

Is the generated SQL valid?

The tool includes a validator to ensure the SQL syntax is correct for your chosen database dialect.

Can I convert large JSON arrays?

Yes, the tool efficiently processes arrays to generate batch INSERT statements.

Can I use the SQL in my database directly?

Absolutely. The generated SQL is production-ready and can be executed in your database management tool.

JSON to SQL Converter – Generate Database‑Ready INSERT & CREATE TABLE Statements

📂 Upload JSON File

JSON preview will appear here after validation.

SQL Output – Ready to Run

Copy the generated SQL or download as a .sql file. Supports MySQL, PostgreSQL, and SQLite syntax.

✅ SQL ready – copy or download below

Convert JSON to SQL online in seconds – completely free, no signup. This browser‑based tool transforms any JSON array or object into standard SQL INSERT statements and optionally generates CREATE TABLE schema. Perfect for migrating API data to MySQL, PostgreSQL, or SQLite databases – all without uploading your data to any server.

Why convert JSON to SQL?

Import JSON API responses directly into MySQL, PostgreSQL, or SQLite
Generate database seeding scripts from JSON datasets
Migrate NoSQL or JSON exports to relational databases
Create test data for backend development and QA
Automate ETL pipelines without manual SQL writing

How to convert JSON to SQL – 3 simple steps

Paste or upload JSON – copy your JSON into the editor or click “Upload JSON File” to load a .json file.
Choose SQL dialect – select MySQL, PostgreSQL, or SQLite for syntax‑compatible output.
Generate and download – click “Convert to SQL” to get INSERT statements and optional CREATE TABLE schema. Copy or download as a .sql file.

JSON to SQL converter – features you’ll love

✅ 100% browser‑based – no upload, no server, complete privacy
✅ Supports MySQL, PostgreSQL, SQLite – choose your database dialect
✅ Automatic type inference – JSON values mapped to SQL types (VARCHAR, INT, DECIMAL, BOOLEAN, DATE, etc.)
✅ Generates CREATE TABLE schema – optional table creation script from JSON structure
✅ Handles nested JSON – nested objects can be flattened into columns or separated into related tables
✅ Proper value escaping – quotes, apostrophes, and backslashes are safely escaped
✅ Copy to clipboard or download .sql – flexible output
✅ Works offline after first load – no internet needed

Why DataFrog’s JSON to SQL tool stands out

Privacy first – your JSON never leaves your device. Many converters upload your data – we don’t.
Multi‑dialect support – get MySQL backticks, PostgreSQL double quotes, or SQLite’s standard syntax automatically.
Schema inference – generates CREATE TABLE with appropriate column types based on sample data.
No signup, no limits – convert as many JSON files as you want, any size.

Supported JSON structures

JSON arrays of objects ([{"id":1,"name":"John"}, ...])
Single JSON objects (converted to one INSERT row)
Nested objects (flattened or separated based on options)
Arrays of primitive values (converted to multiple rows)
Mixed data types within the same object

Common use cases for JSON to SQL conversion

🗄️ Database migration – move JSON exports to MySQL or PostgreSQL
📊 API data import – store external API responses directly in your database
🧪 Backend testing – generate SQL fixtures from JSON test data
🔄 ETL pipelines – intermediate step between JSON and SQL databases
📁 Data archiving – convert legacy JSON datasets to relational format

Privacy & Security

🔒 All processing happens locally in your browser
🚫 No file upload – your data never touches our server
🕵️ No tracking, no logs, no third‑party scripts
💼 Safe for sensitive data (financial, personal, proprietary)

Frequently asked questions (JSON to SQL)

Does this tool support nested JSON objects?

Yes. Nested objects can be handled in two ways: flattening (e.g., address.city becomes a column) or as separate tables with foreign keys. The current version focuses on flattening for simplicity; advanced relational splitting is available in our roadmap.

Which SQL databases are supported?

You can generate SQL syntax for MySQL, PostgreSQL, and SQLite. The tool adjusts quoting, escaping, and data types accordingly.

Does it generate CREATE TABLE statements automatically?

Yes. Based on the first object in your JSON array (or the object itself), the tool infers column names and data types to generate a CREATE TABLE script. You can also choose to output only INSERT statements.

Is my JSON data uploaded to a server?

No. The tool runs entirely in your browser. Your file never leaves your computer – even works offline after first load.

How are JSON data types mapped to SQL?

string → VARCHAR(255) or TEXT
number → INT or DECIMAL (detected automatically)
boolean → BOOLEAN / TINYINT(1)
null → NULL allowed
array → JSON type (MySQL 5.7+) or TEXT with serialized value

Can I customize the table name and column names?

Yes. The tool uses “my_table” as default; you can edit the output directly before downloading. Column names are sanitized from JSON keys (spaces become underscores).

Is this JSON to SQL converter really free?

Yes, completely free. No hidden fees, no premium tiers, no watermarks. DataFrog believes essential developer tools should be accessible to everyone.