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How Excel to SQL & SQLite Converter works
The XLS to DB Converter transforms Excel spreadsheets (.xlsx, .xls) and CSV datasets into structured relational SQL databases entirely in your web browser. Utilizing SheetJS for fast workbook parsing and sql.js (SQLite compiled to WebAssembly), the engine inspects spreadsheet columns, dynamically infers schema data types (INTEGER, REAL, BOOLEAN, TEXT), and creates complete relational database structures without remote database server dependencies.
Users can configure output scripts for multiple SQL dialects including SQLite, PostgreSQL, and MySQL. The tool sanitizes column headers to ensure valid SQL identifiers, constructs robust CREATE TABLE definitions with appropriate constraints, and batches data rows into clean multi-value INSERT statements. Every spreadsheet tab is automatically translated into its own independent database table with automatic row count verification.
Beyond generating raw SQL source files, this tool allows you to compile your spreadsheet directly into a downloadable binary SQLite database file (.db / .sqlite). You can immediately test your database locally, import it into serverless edge runtimes, or open it in embedded database inspection tools with zero setup.
How to use Excel to SQL & SQLite Converter
1. Upload Spreadsheet File
Select an Excel (.xlsx, .xls) or CSV workbook. The parser reads all worksheets and row values directly into local browser memory.
2. Select SQL Target Dialect
Choose your desired relational database target: SQLite, PostgreSQL, or MySQL to format dialect-specific types and syntax.
3. Review Schema & Types
Inspect auto-detected column data types, table structures, and data previews across each sheet in your uploaded workbook.
4. Export SQL or Compile .DB
Copy the generated SQL script, download the .sql schema file, or compile directly into a native downloadable SQLite .db database.
Key features and technical specifications
Automatic Type Inference
Scans column values to detect integers, floating-point numbers, booleans, and strings, producing clean, optimized table schemas.
Multi-Sheet Table Generation
Each workbook sheet is automatically converted into an independent relational database table with sanitized table names.
Native SQLite DB Compilation
Compiles your spreadsheet directly into a binary .sqlite / .db file in your browser via WebAssembly sql.js engine.
Multi-Dialect SQL Export
Generates customized SQL scripts formatted for SQLite, PostgreSQL, or MySQL with proper identifier escaping and batching.
Spreadsheet cells and database column types
A spreadsheet column may mix numbers, text, dates and blank cells. A database schema requires more deliberate typing. Check leading-zero identifiers, large integers, date serials and missing values before importing generated SQL. Use a small sample to verify column names and row counts before working with the full dataset.
Developers & Database Engineers
Quickly bootstrap local development databases, seed relational tables from client spreadsheets, and export schema migration scripts.
Data Analysts & Researchers
Convert sprawling Excel reports into clean relational databases ready for complex SQL joins, aggregations, and local query testing.
Serverless App Development
Build lightweight embedded SQLite databases from static spreadsheet assets to bundle with mobile apps or edge API workers.
Frequently asked questions
How are column data types determined?
The parser samples initial rows in each column to check whether all populated cells contain valid integers, floating-point numbers, or booleans. If mixed types or non-numeric strings are found, the column defaults safely to TEXT/VARCHAR.
Can I compile multiple sheets into one SQLite file?
Yes! When you click Compile .SQLite DB, the engine creates a multi-table database where each worksheet in your workbook becomes a distinct table with its respective rows.
Do I need an internet connection, and are my inputs uploaded?
An internet connection is required to open tools and refresh a temporary session. Processing stays on your device; the handshake sends a random challenge, not files or text inputs. Libraries, fonts or models may download. Local processing cannot remove risks from an untrusted device or extension.
What happens to empty cells and special characters in column headers?
Empty cells are converted to SQL NULL values. Column headers with spaces, symbols, or punctuation are automatically sanitized into valid snake_case identifiers.
Can I import the generated SQLite file into DBeaver or TablePlus?
Yes. The compiled SQLite database file is a 100% compliant standard SQLite 3 binary file that can be opened immediately in any universal database GUI, including DBeaver, TablePlus, SQLiteStudio, or embedded directly into mobile and desktop applications.
What SQL constraints are automatically generated during conversion?
The conversion engine automatically generates primary key identifiers (id INTEGER PRIMARY KEY AUTOINCREMENT), sanitizes column headers into valid SQL identifiers, and generates strict NOT NULL constraints where columns contain zero missing values across the source spreadsheet.