Excel to Database Prep
Upload a CSV and get a validated, database-ready column list with auto-detected types and a generated CREATE TABLE statement.
How to use Excel to Database Prep
- Start by providing the required input: Drop a CSV file.
- Set the inputs and options shown here: Table name, SQL dialect.
- Run the tool with Analyze & Generate SQL.
- Review the results, then choose an output control: Download SQL.
Going from spreadsheet to database table without guessing column types
Importing a CSV into a real database means deciding on column types and a safe table schema first — work that's usually done by eyeballing the data and guessing. Detecting each column's likely type automatically, and generating the actual CREATE TABLE statement, skips the guesswork.
Why column names get sanitized automatically
Spreadsheet headers routinely contain spaces, special characters, or mixed case that most databases don't accept cleanly as column identifiers — converting them to safe snake_case names avoids a class of import errors before they happen.
How accurate is the automatic type detection?
It checks whether every non-empty value in a column matches a pattern (integer, decimal, date) and falls back to text otherwise — reliable for clean data, worth double-checking on messier datasets.
Which SQL dialects are supported?
MySQL, PostgreSQL, and SQLite — each with its own correct auto-increment primary key syntax in the generated statement.
Does this actually create the database or run any SQL?
No — it only generates the SQL text for you to review and run yourself against your own database.