How are nested JSON objects handled?

Nested objects and arrays are serialised to their JSON string representation and stored as text or JSONB columns. For deeply nested data, pre-process the JSON to flatten into the columns you actually want, or use a JSONB-aware database (PostgreSQL).

What dialect differences should I be aware of?

MySQL uses backtick identifiers (`col`) and types like VARCHAR/TEXT/INT. PostgreSQL uses double-quotes ("col"), INTEGER/TEXT/NUMERIC/JSONB. SQLite is similar to PG but no BOOLEAN. MSSQL uses brackets ([col]) and NVARCHAR(MAX). Pick the dialect matching your database.

Should I use batch INSERTs?

For >100 rows, batch INSERT (one statement with comma-separated VALUES) is dramatically faster than one INSERT per row. Most databases handle batches up to ~1000 rows per statement; split larger datasets into chunks.

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JSON to SQL

Convert

Convert a JSON array to SQL INSERT statements. Choose table name and dialect.

Input

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Output

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What Is JSON to SQL Conversion?

JSON to SQL conversion transforms a JSON array of objects into SQL INSERT statements ready to run against a relational database. Each object in the array becomes one row, and each key becomes a column. This tool supports MySQL, PostgreSQL, SQLite, and MS SQL Server syntax, and can optionally generate a CREATE TABLE statement based on the keys found in your JSON data.

How to Convert JSON to SQL INSERT Statements

Paste a JSON array of objects into the Input pane, or click Upload.
Click Convert — SQL INSERT statements appear in the Output pane.
Set the Table name (default: my_table).
Choose a Dialect: MySQL, PostgreSQL, SQLite, or MSSQL.
Toggle CREATE TABLE to prepend an inferred table definition.
Toggle Batch INSERT to combine all rows into a single INSERT … VALUES (…), (…) statement.
Click Copy to copy the SQL, or Download to save as output.sql.

Dialect Differences

MySQL — uses backtick identifiers (`col`), INT/VARCHAR/FLOAT/TINYINT/TEXT types in CREATE TABLE.
PostgreSQL — uses double-quote identifiers ("col"), INTEGER/TEXT/NUMERIC/BOOLEAN/JSONB types.
SQLite — uses double-quote identifiers, INTEGER/TEXT/REAL/NUMERIC types; no BOOLEAN.
MSSQL — uses bracket identifiers ([col]), INT/NVARCHAR(MAX)/FLOAT/BIT types.

Handling Nested Objects and Arrays

Nested objects and arrays inside your JSON are serialized to their JSON string representation and stored as text/JSONB columns. If you want to flatten nested data into separate columns, pre-process your JSON with the JSON Formatter first.

Common Use Cases

Seed data for development — convert sample API responses into INSERT statements to populate a dev database.
Database migrations — bulk-insert reference data (countries, currencies, categories) from JSON exports.
API → DB ingestion — one-off ingestion of a JSON dataset without writing custom ETL.
Bug reproduction — convert the JSON payload that triggered a bug into INSERTs to reproduce the data state in a test database.
Migration from NoSQL — convert MongoDB/Firebase JSON exports to relational SQL when moving stacks.

Tips & Tricks

Batch INSERT for large datasets — enable Batch INSERT to combine all rows into one statement. Dramatically faster than individual INSERTs for > 100 rows.
Inspect inferred CREATE TABLE — the auto-generated schema is a starting point. Refine column types (e.g. VARCHAR(255) vs TEXT) before running in production.
Mind reserved words — if your JSON has keys like order, group, or select, the generated SQL quotes them properly per dialect (backticks for MySQL, double-quotes for PG).
NULL handling — JSON null values become SQL NULL. Empty strings stay as empty strings — different in SQL.
Test on a copy first — never run generated DDL against production. Test on a sandbox database, verify schema, then apply.

Related Tools

JSON Formatter — Format and validate JSON before converting.
JSON Validator — Confirm the JSON is valid first.
JSON to CSV — Alternative for spreadsheet import.
SQL Formatter — Pretty-print the generated SQL before running.
SQL Minifier — Compress the SQL for embedding in code.

Is My Data Sent to a Server?

No. All conversion runs entirely in your browser. Your JSON data — including any PII, API keys, or proprietary structures — never leaves your machine. There is no upload, log, or analytics on the data you convert. The AI Explain feature only sends text you explicitly submit for explanation; otherwise nothing transmits.