How to Convert Excel to SQL or JSON
Our Excel to SQL Insert & JSON Converter tool allows you to instantly map spreadsheets to database queries directly in your browser. This is perfect for database administrators, web developers, and system analysts. For data preparation, you might find our Excel Data Cleaner or Excel Merger tools helpful.
1. Upload File
Drag and drop your .xlsx, .xls, or .csv file into the upload zone.
2. Map Columns
Define your database table name and target data types (e.g., INT, VARCHAR, DATE).
3. Select Format
Choose your target format (SQL INSERT, JSON array, or XML) and database engine dialect.
4. Copy or Download
Review the syntax-highlighted code preview, then copy or download your script.
Frequently Asked Questions
How do I convert an Excel spreadsheet into SQL INSERT statements?
To convert Excel to SQL: 1) Upload your Excel file (.xlsx or .xls) or CSV. 2) Select the worksheet. 3) The tool automatically analyzes your headers and suggests SQL data types (like INT, VARCHAR, DATE). 4) Customize the table name and rename columns if needed. 5) Select your target database dialect (e.g. MySQL, PostgreSQL, SQL Server, or SQLite). 6) Click the SQL tab to preview and copy the generated CREATE TABLE and INSERT INTO scripts, or download them as a .sql file.
Is my data secure when converting database scripts in this tool?
Yes! The converter operates 100% locally in your web browser. Your spreadsheets and their data are never uploaded to any server. This is essential for developers, database administrators, and security-conscious companies dealing with confidential or proprietary user databases.
Can the tool handle Excel files with thousands of rows?
Yes! The tool can convert sheets with tens of thousands of rows. It uses highly optimized string builders in your browser. For very large files, it is recommended to download the output file directly instead of rendering it in the preview panel to avoid browser memory lag.
How does the tool handle quotes and special characters in SQL strings?
The tool includes a built-in SQL sanitizer. Depending on the selected database dialect, it automatically escapes single quotes (e.g., doubling them '' for PostgreSQL/SQL Server, or pre-pending a backslash \' for MySQL) to prevent SQL syntax errors or injection issues during database execution.