JSON to SQL Converter Online – Free & Fast Tool

Paste JSON Data

Paste valid JSON data (array of objects recommended)

Upload Your JSON File

Drag & drop your .json file here or click to browse

Supported formats: JSON, TXT

About JSON to SQL Converter

The JSON to SQL Converter is an online tool that allows you to convert JSON data into properly formatted SQL statements. Whether you want to generate INSERT, UPDATE, CREATE TABLE, or both CREATE and INSERT statements, this tool helps you transform structured JSON into ready-to-use SQL code instantly.

You can either paste JSON data directly or upload JSON/TXT files, configure conversion settings, preview the generated SQL with syntax highlighting, and download the final SQL file.

This tool is ideal for developers, database administrators, backend engineers, and anyone working with structured data and relational databases.

What is JSON?

JSON (JavaScript Object Notation) is a lightweight data format used to store and exchange structured information. It is commonly used in:

  • APIs

  • Web applications

  • Configuration files

  • Data exports

Example JSON:

[
  {"id": 1, "name": "John", "email": "john@example.com", "active": true},
  {"id": 2, "name": "Jane", "email": "jane@example.com", "active": false}
]

Your JSON to SQL tool reads this structured data and converts it into valid SQL statements.

What is SQL?

SQL (Structured Query Language) is used to manage and manipulate relational databases.

This tool generates:

  • CREATE TABLE statements

  • INSERT INTO statements

  • UPDATE statements

All SQL output is automatically formatted and ready to execute in your database.

How to Use the JSON to SQL Converter

Below is a complete explanation of every UI component and what it does.

Step 1: Choose Input Method

Paste JSON Data (Default Tab)

  • Click “Paste JSON Data” tab.

  • Paste your JSON into the large textarea.

  • The tool automatically focuses on the input area.

  • A preview item appears showing the character count.

Use this option when you want quick conversion without uploading a file.

Upload File

  • Click “Upload File” tab.

  • Drag & drop your .json or .txt file into the drop area
    OR

  • Click “Select JSON File” button to browse files.

Supported formats:

  • .json

  • .txt

You can upload multiple files at once.
Each uploaded file appears in a file list with:

  • File name

  • File size

  • Remove (X) button

Click the remove icon to delete a file before conversion.

Step 2: Configure SQL Options

Below the input area, you will find conversion settings.

Table Name Field

Input: “Table Name”

  • Default value: users

  • Change this to your desired database table name.

  • The tool sanitizes the name automatically (removes special characters and ensures valid SQL naming).

SQL Output Dropdown

Select the type of SQL you want to generate:

INSERT Statements

Generates:

INSERT INTO table_name (...) VALUES (...), (...);

All JSON objects are converted into a single multi-row INSERT statement.

UPDATE Statements

Generates:

UPDATE table_name
SET column = value
WHERE primary_key = value;

One UPDATE statement is created per JSON object.

When you select UPDATE:

  • The Primary Key Field input appears

CREATE TABLE

Generates:

CREATE TABLE table_name (...);

Column types are automatically inferred based on JSON values:

  • BOOLEAN

  • INTEGER

  • REAL

  • VARCHAR(255)

  • TEXT

Both CREATE and INSERT (Default)

Generates:

  • CREATE TABLE statement

  • INSERT statement

Primary Key Field (Only for UPDATE Mode)

Appears only when SQL Output is set to UPDATE.

  • Default value: id

  • Must match a field in your JSON objects.

  • The tool validates this in paste mode.

  • Primary key comparison is case-insensitive.

The primary key is:

  • Used in WHERE clause

  • Excluded from SET clause

Step 3: Click “Convert to SQL”

The Convert to SQL button:

  • Validates input

  • Sends data to backend

  • Disables itself during processing

  • Shows “Converting...” while working

If conversion succeeds:

  • Results section appears below.

If there is an error:

  • An error message appears for that file.

How SQL Is Generated

CREATE TABLE Logic

  • Uses first JSON object as schema sample.

  • Infers SQL column types.

  • Sanitizes column names (removes spaces/special characters).

  • Converts everything to lowercase.

INSERT Statement Logic

  • Uses keys from first JSON object as columns.

  • Generates a single optimized multi-row INSERT statement.

  • Escapes single quotes properly.

  • Converts:

    • null → NULL

    • true/false → TRUE/FALSE

UPDATE Statement Logic

  • Requires primary key.

  • Generates one UPDATE per object.

  • Matches primary key case-insensitively.

  • Excludes primary key from SET clause.

SQL Preview Viewer

After conversion, each file displays a SQL preview card.

Each result card contains:

Copy Button

  • Copies entire SQL content, even if preview is truncated.

  • Shows status:

    • Copying...

    • Copied!

If clipboard fails, fallback method is used.

Fullscreen Button

Opens SQL in fullscreen viewer.

Fullscreen includes:

  • Search field

  • Fold/Unfold button

  • Copy button

  • Download dropdown

  • Close button

  • ESC key support

Search in SQL

  • Type into search field.

  • Shows number of matches.

  • Highlights matches.

  • Press Enter to navigate between matches.

Search is disabled for large SQL files.

Large File Handling

If generated SQL exceeds 50,000 characters:

  • Preview is truncated

  • Search disabled

  • Full SQL still available for:

    • Copy

    • Download

A warning banner appears to inform the user.

Download Options

Each result file includes:

Download as SQL

  • Saves .sql file

  • Content-Type: application/sql

Download as TXT

  • Saves .txt file

  • Content-Type: text/plain

Download All

Click Download All button to:

  • Download all successfully converted files

  • Packaged into a ZIP file

Data Validation & Error Handling

The tool checks:

  • JSON must not be empty

  • UPDATE mode requires array of objects (paste mode)

  • Primary key must exist in JSON

  • File must exist before processing

  • JSON parsing errors are caught

If conversion fails:

  • Error card appears for that file.

Clear All Button

The Clear All button resets:

  • Uploaded files

  • Pasted JSON

  • Table name

  • SQL output type

  • Primary key

  • Results section

  • SQL viewers

Why Use This JSON to SQL Tool?

Convert JSON to SQL online
Generate CREATE TABLE automatically
Generate optimized multi-row INSERT statements
Generate UPDATE statements with primary key
Upload or paste JSON data
Preview SQL with syntax highlighting
Search within SQL results
Copy full SQL instantly
Download SQL or TXT files
Download multiple files as ZIP

Who Can Use This Tool?

  • Backend developers

  • Database engineers

  • API developers

  • Data engineers

  • Students learning SQL

  • Anyone migrating JSON data to relational databases

The JSON to SQL Converter provides a structured, reliable way to transform JSON data into properly formatted SQL statements. With flexible input methods, multiple output formats, interactive SQL preview, and full download support, it simplifies the process of converting structured data into database-ready queries.

Frequently Asked Questions

Find answers to common questions about this tool

Yes.
The tool supports:

  • A single JSON object

  • An array of JSON objects

However, for UPDATE statements, your JSON must be an array of objects, because one UPDATE query is generated per object.

If your JSON contains syntax errors:

  • The conversion will fail.

  • You will see an error message.

  • No SQL file will be generated for that input.

Make sure your JSON is properly formatted before converting.

The tool automatically infers SQL types from the first JSON object:

  • Boolean → BOOLEAN

  • Integer → INTEGER

  • Float → REAL

  • Short string → VARCHAR(255)

  • Long string → TEXT

  • Null → TEXT

Only the first object is used to determine the schema.

The tool uses the first JSON object as the reference structure.

  • Columns are based on keys from the first object.

  • If later objects are missing fields, NULL values will be inserted.

  • Extra fields not present in the first object are ignored in INSERT generation.

Single quotes inside strings are safely escaped.

For example:

John's Book

Becomes:

'John''s Book'

This prevents SQL syntax errors.

If the generated SQL exceeds 50,000 characters:

  • The preview is truncated.

  • A warning message appears.

  • Search inside the viewer is disabled.

  • Copy and download still include the full SQL content.

Yes.

You can modify the Table Name field before clicking “Convert to SQL”.

If left empty, the default table name is:

users

The table name is automatically sanitized to ensure it is SQL-safe.