JSON to SQL Converter — Free Online Tool

Convert JSON data to SQL INSERT statements instantly. Upload a .json file or paste your JSON directly — the converter handles arrays, nested objects, and inconsistent keys automatically. No signup required, and your data stays in your browser.

Input JSON

Upload JSON File

Drag & drop your JSON file, or browse

or paste JSON

Table Name

Generated SQL

Upload or paste JSON data and click Convert

How to Convert JSON to SQL in 3 Steps

Add Your JSON Data

Upload a .json file or paste your JSON directly into the text area. Works with arrays of objects, single objects, and nested structures.

Set Your Table Name

Enter the SQL table name for the INSERT statements. Object keys become column names — all unique keys across your JSON are collected automatically.

Copy Your SQL

Click "Convert to SQL" and your INSERT statements appear instantly. Copy them into your database client, migration script, or SQL file.

Why Developers Choose Our JSON to SQL Converter

Turn API responses, config files, and NoSQL exports into relational data — with full privacy and zero setup.

File Upload or Paste

Upload a .json file via drag-and-drop or paste your JSON directly into the text area. Both methods produce identical output — use whichever is faster for your workflow.

Auto-Key Detection

All unique keys across every object in your JSON array are collected and used as SQL column names. Missing keys for any row default to NULL.

Nested Object Support

Nested objects and arrays are automatically serialized as JSON strings within the SQL value. Your complex structures are preserved without data loss.

100% Private — Zero Data Upload

Your JSON data is processed entirely in your browser. No data is sent to any server — safe for API responses, config files, and sensitive application data.

Works With Any SQL Database

Generates standard ANSI SQL INSERT statements compatible with MySQL, PostgreSQL, SQLite, MariaDB, SQL Server, and Oracle.

Smart Type Handling

Numbers stay unquoted, booleans become 1/0, null values become SQL NULL, and strings are properly escaped. Each data type is handled correctly.

Common Use Cases

API Response to Database

Copy JSON from an API response and convert it to INSERT statements for storing in your relational database.

NoSQL to SQL Migration

Export documents from MongoDB, Firebase, or CouchDB as JSON and convert them to SQL for relational databases.

Config & Fixture Data

Turn JSON config files or test fixtures into database seed scripts without writing SQL by hand.

Log & Event Import

Convert structured JSON log entries or event streams into SQL for ad-hoc analysis in your database.

Frequently Asked Questions

Is this JSON to SQL converter free?

Yes. Guest users get 5 free conversions per day with no signup. Create a free account for unlimited conversions. There are no hidden fees or premium tiers for the converter tool.

What JSON structures are supported?

Both JSON arrays of objects and single JSON objects are supported. Arrays generate one INSERT per element. Single objects generate one INSERT statement. Nested objects and arrays are serialized as JSON strings within the SQL value, preserving the data structure.

Can I paste JSON directly instead of uploading a file?

Yes. You can either upload a .json file via drag-and-drop or paste your JSON data directly into the text area. This is especially useful when copying API responses from your browser console or terminal.

Is my JSON data safe?

Yes. The conversion runs entirely in your browser using JavaScript. Your JSON data is never uploaded to any server. This makes it safe for API keys, user records, and any sensitive application data.

How are nested JSON objects handled?

Nested objects and arrays are serialized as JSON strings in the SQL value using JSON.stringify(). This preserves the structure while fitting into a relational column. Many databases (MySQL 5.7+, PostgreSQL 9.4+) support JSON column types for querying this data later.

What happens with inconsistent keys across objects?

The converter collects all unique keys across every object in the array and uses them as columns. If an object is missing a key, the value becomes NULL in that INSERT statement. This handles real-world JSON where not every record has the same fields.

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