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.

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

Microsoft Excel 2000 and later (.xls, .xlsx)
Built-in column selector and data-range picker
MySQL 5.x, 8.x; MariaDB; Percona Server
Amazon RDS / Aurora MySQL, Azure Database for MySQL, Google Cloud SQL

Supported in this path

Source

Excel

Target

MySQL

MySQL MariaDB Percona Server for MySQL Amazon RDS for MySQL Amazon Aurora MySQL Azure Database for MySQL Google Cloud SQL for MySQL Microsoft Excel (.xls, .xlsx) CSV files

Using Excel to MySQL 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 MySQL destination database

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

MySQL target

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

More guides for Excel ↔ MySQL

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