Excel and CSV to SQL Server Converter

Import Excel worksheets, selected ranges, and CSV files into SQL Server, Azure SQL, or Amazon RDS for SQL Server with column mapping and field type review.

Excel to SQL Server conversion turns a spreadsheet or CSV file into real database tables.

The hard part is not copying cells; it is turning spreadsheet conventions into a stable, repeatable database schema.

What DBConvert does on this path: handles spreadsheet-to-database import as a repeatable desktop workflow:

Reads Excel workbooks, CSV files, selected sheets, and selected cell ranges.
Detects columns, lets you review type mapping, and creates SQL Server-compatible tables.
Loads rows into SQL Server, SQL Server Express, Azure SQL, or Amazon RDS for SQL Server.

What it does not do: formulas, workbook formatting, charts, pivot tables, VBA macros, and Excel-only validation rules are not converted into SQL Server business logic.

Which DBConvert tool fits?

Use DBConvert when spreadsheet data needs a visual range selector, column mapping, type review, and a repeatable SQL Server import workflow.

DBConvert for Excel → SQL Server

Import spreadsheet data into SQL Server tables with a visual range selector, column mapping, type detection, and saved settings for recurring files.

Excel range and field setup

The Excel configuration window lets you create tables from selected ranges, keep a list of defined tables, mark the first row as field names, skip empty rows, adjust ranges, and override field types.

Need more context? Compare DBConvert and DBSync side by side →

How DBConvert handles the Excel → SQL Server differences

Spreadsheets look clean on screen while hiding database problems - mixed-type columns, hidden formatting, multiple sheets, and recurring updates. DBConvert handles those in the wizard with sensible defaults that you can review or override per sheet and per column.

Headers and column names

Reads the first row as headers by default and rewrites empty, duplicate, or symbol-laden header text into clean SQL Server column names - reserved words are bracket-quoted ([Order]), merged-cell layouts are unflattened, and you can override the header row in the wizard.

Mixed column values

Samples real values per column and proposes one strict SQL Server target type in the type-mapping review - columns with numbers, dates, text, and error values mixed together are flagged so you pick nvarchar or widen the type rather than losing rows to silent coercion.

Dates, IDs, and leading zeros

Reads the underlying stored value rather than the displayed format - ZIP codes, SKUs, long IDs, and date serials travel intact when you mark those columns as nvarchar instead of accepting Excel's auto-typing.

Multiple sheets and ranges

Lets you map every sheet to a separate SQL Server table, or select one range as the table, or feed several Excel files into the same target table - pick the layout in the wizard.

Repeat imports

Saves the migration as a session so a recurring spreadsheet rerun (weekly refresh, monthly load) replays the same mapping; pick append-or-replace policy and (if you set a primary key) deduplication semantics in the wizard.

Choosing the import route

The best tool depends on whether this is a one-off import, a repeatable desktop job, or an ETL pipeline.

Route	Where it fits	Where it falls short
SQL Server Import & Export Wizard / SSIS native Microsoft tooling	Developer-controlled imports and full ETL packages that have to live in SSIS anyway.	Setup-heavy: Excel provider selection, bitness mismatches, and Access Database Engine installation are common friction points.
Online Excel-to-SQL converters	Generating a small SQL script from non-sensitive data.	No live SQL Server connection, no row validation, no repeatable import job.
DBConvert commercial desktop, Windows	Non-developer file selection, sheet/range selection, type-mapping review, saved settings, and direct connection to SQL Server, Azure SQL, or Amazon RDS for SQL Server - without building an SSIS package.	Commercial license; desktop tool (Windows). Excel formulas and pivot logic are not converted (the same is true of every route in this table).

Supported versions

Microsoft Excel 2000 and later (.xls, .xlsx)
Built-in column selector and data-range picker
SQL Server 2008–2022, including Express editions
Azure SQL Database and Amazon RDS for SQL Server
SQL Server schemas (dbo, custom schemas)
Windows authentication or SQL authentication

Supported in this path

Source

Excel

Target

SQL Server

Microsoft Excel (.xls, .xlsx) CSV files Microsoft SQL Server SQL Server Express Azure SQL Database Amazon RDS for SQL Server

Using Excel to SQL Server Tools

When launching DBConvert in GUI mode, it guides you through the steps to select the spreadsheet source, configure ranges, and load data into the target database:

Connect to Excel source database

Specify the username/password and host/port parameters if your source database requires login credentials.

Excel or CSV source

Use the file selector for the workbook, sheet, CSV file, or range. Configure sheets, ranges, and field types in Excel database configuration.

Connect to SQL Server destination database

Specify parameters for the destination database similar to the source, defining connection settings and username/password pairs.

SQL Server target

Connect by TCP/IP or Named Pipes, use Azure SQL, or configure Amazon RDS for SQL Server.

More guides for Excel ↔ SQL Server

Type mapping and naming options

Next steps: configure, validate, run

After connecting source and target, the remaining steps are the same for every database pair:

Configure migration options - pick tables, fields, indices, views.
Issue detection - the built-in checker flags integrity problems before migration starts.
Execute - commit the job, monitor progress, save the session for reuse.
Schedule and CLI - rerun saved sessions on a schedule or from the command line.

Open the full guide

Steps 3-5, software features, command-line mode, scheduler, and system requirements.

See all features