Excel
MySQL

Excel / CSV to MySQL Converter

Load Excel workbooks and CSV files into MySQL, MariaDB, Amazon RDS, or Aurora. Column mapping, type detection, and repeatable jobs for recurring imports.

Version
2.5.0
Release Date
Aug. 20, 2026
Size
9.5 MB

Excel to MySQL conversion loads spreadsheet rows into MySQL or MariaDB tables.

The hard part is not uploading a file; it is deciding which sheet or range becomes a table, how headers become column names, how mixed spreadsheet values become MySQL types, and how repeat imports avoid duplicate rows.


What DBConvert does on this path: imports Excel workbooks and CSV files into MySQL, MariaDB, Percona Server, Amazon RDS / Aurora MySQL, Azure Database for MySQL, or Google Cloud SQL with range selection, column mapping, field type review, filters, and saved sessions.

What it does not do: formulas, workbook formatting, charts, pivot tables, validation rules, and Excel VBA are not converted into MySQL application logic. Treat the workbook as a data source.

Which DBConvert tool fits?

Use DBConvert when spreadsheet data needs visual sheet/range selection, type review, and a repeatable MySQL import workflow.

DBConvert for Excel → MySQL

Import spreadsheet data into MySQL-compatible tables with a workbook selector, sheet/range configuration, column mapping, type detection, saved sessions, and scheduler support for recurring files.

Excel range and field setup

Configure selected ranges, first-row headers, skipped empty rows, field types, and output table names before the import creates or updates MySQL tables.

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

How DBConvert handles the Excel → MySQL 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 MySQL column names - reserved words are backtick-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 MySQL target type in the type-mapping review - columns with numbers, dates, text, and error values mixed together are flagged so you pick VARCHAR 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 VARCHAR instead of accepting Excel's auto-typing.

Multiple sheets and ranges

Lets you map every sheet to a separate MySQL 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 route depends on whether this is a quick file load, a developer import script, or a repeatable desktop workflow.

Route Where it fits Where it falls short
Native MySQL import tools free database tooling Simple CSV imports when the data is already clean and the target table design is known. Excel-specific sheet/range setup, type review, saved import sessions, and recurring-file workflow are limited.
LOAD DATA / scripts developer-owned import High-control imports from normalized CSV files where a developer owns the SQL and validation. You own file cleanup, headers, encodings, type decisions, error handling, and repeat scheduling.
Online Excel-to-SQL converters Generating a small SQL script from non-sensitive spreadsheet data. No live MySQL connection, no row validation, no private-data control, and no repeatable import job.
DBConvert commercial desktop, Windows Visual sheet/range selection, type-mapping review, saved sessions, filters, direct MySQL-compatible targets, and scheduler support for recurring files. Commercial license; desktop tool. Excel formulas and workbook logic are not converted into MySQL application logic.

Video tutorial

Watch the Excel to MySQL import workflow in DBConvert.

Supported versions and services

Excel

  • Microsoft Excel 2000 and later (.xls, .xlsx)
  • Built-in column selector and data-range picker

MySQL

  • MySQL 5.x, 8.x; MariaDB; Percona Server
  • Amazon RDS / Aurora MySQL, Azure Database for MySQL, Google Cloud SQL

How to migrate Excel to MySQL

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:

1

Connect to Excel source database

Select the Excel file. DBConvert reads its tables and prepares them for mapping.

Connect to Excel source database from DBConvert

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.

2

Connect to MySQL destination database

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

Connect to MySQL target database from DBConvert

MySQL target

Use the MySQL connection guide for MySQL, MariaDB, Percona, Amazon RDS / Aurora, Azure Database for MySQL, or Google Cloud SQL.

Steps 3-6: the same for every database pair

Source and target are connected - steps 1 and 2 above. What follows is identical whichever two databases you picked, so it lives in one place. Each step below opens at its own section.

Open the full guide

All four steps in one page, plus software features, command-line mode, scheduler, and system requirements.

See all features

Move Excel data into MySQL

Download the current build and run the first job against your own database.

Windows Windows 10 or later · 9.5 MB