JSON to SQL Converter – Generate Database‑Ready Statements

SQL INSERT statements are the standard way to load data into relational databases — MySQL, PostgreSQL, SQLite, and others. When your data arrives as JSON — from an API, a NoSQL export, or a configuration file — converting it to SQL lets you import it directly into any relational database without writing statements by hand. This tool generates both INSERT statements and CREATE TABLE schema from any JSON array or object instantly, with automatic type inference and multi-dialect support — entirely in your browser with no upload required.

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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
Sohail Anwar Sohail Anwar December 01, 2025

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 fixtures for backend development and QA
  • Automate ETL pipelines without writing SQL by hand

JSON to SQL conversion example

JSON arrays of objects map directly to SQL rows, with keys becoming column names. The tool infers SQL data types from the values automatically:

Input JSON

[
  { "id": 1, "name": "Alice", "age": 30,  "active": true  },
  { "id": 2, "name": "Bob",   "age": 25,  "active": false }
]

Generated SQL (MySQL)

CREATE TABLE `my_table` (
  `id`     INT,
  `name`   VARCHAR(255),
  `age`    INT,
  `active` BOOLEAN
);

INSERT INTO `my_table` (`id`, `name`, `age`, `active`) VALUES
(1, 'Alice', 30, TRUE),
(2, 'Bob',   25, FALSE);

PostgreSQL output uses double-quote identifiers and BOOLEAN natively. SQLite uses standard unquoted identifiers with INTEGER and TEXT types. Switch dialects and the output updates accordingly.

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

  • ✅ 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, TEXT, etc.)
  • ✅ Generates CREATE TABLE schema – optional table creation script inferred from JSON structure
  • ✅ Handles nested JSON – nested objects flattened into dot-notation columns
  • ✅ Proper value escaping – quotes, apostrophes, and backslashes safely escaped
  • ✅ Copy to clipboard or download .sql – flexible output for any workflow
  • ✅ Works offline after first load – no internet needed

Why DataFrog's JSON to SQL converter stands out

  • Privacy first – your JSON never leaves your device. Many converters upload your data – we don't.
  • Multi-dialect support – MySQL backtick quoting, PostgreSQL double quotes, or SQLite standard syntax — selected automatically per dialect.
  • Schema inference – generates CREATE TABLE with appropriate column types based on your actual JSON 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"}, ...]) — most common format for bulk inserts
  • Single JSON objects — converted to one INSERT row
  • Nested objects — flattened using dot notation into columns
  • Arrays of primitive values — converted to multiple single-column rows
  • Mixed data types within the same object

Common use cases for JSON to SQL conversion

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

Privacy & Security

  • 🔒 All processing happens locally in your browser — no server involved
  • 🚫 No file upload — your JSON never leaves your device
  • 🕵️ No tracking, no logs, no third-party analytics scripts
  • 💼 Safe for sensitive data including personal records, financial data, and proprietary datasets

Frequently asked questions (JSON to SQL)

Does this tool support nested JSON objects?

Yes. Nested objects are flattened using dot notation — for example, {"address": {"city": "London"}} becomes a column named address_city. This keeps the SQL output fully tabular and compatible with standard relational databases.

Which SQL databases are supported?

You can generate SQL for MySQL (backtick identifiers), PostgreSQL (double-quote identifiers), and SQLite (standard unquoted syntax). The tool adjusts quoting, escaping, and data types automatically for each dialect.

Does it generate CREATE TABLE statements automatically?

Yes. Based on your JSON structure, the tool infers column names and appropriate SQL data types to generate a CREATE TABLE script. You can also choose to output only INSERT statements if the table already exists in your database.

Is my JSON data uploaded to a server?

No. The tool runs entirely in your browser. Your file never leaves your computer — it also works offline after the first page load.

How are JSON data types mapped to SQL types?

  • string → VARCHAR(255) or TEXT
  • number (integer) → INT
  • number (decimal) → DECIMAL
  • boolean → BOOLEAN / TINYINT(1) (MySQL)
  • null → column allows NULL
  • 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 the default table name. You can edit the output directly before downloading. Column names are sanitised from JSON keys — spaces and special characters 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.