Is converting XLS to SQL Server free?

Yes. Files up to 10MB convert free with no account. There is a limit of five conversions per day per IP address.

Will my XLS data keep its types in SQL Server?

Yes — that is the point. Whole numbers, decimals, dates and booleans are mapped to real SQL Server types rather than everything becoming text. The mapping table above shows exactly what you get.

Do you store my file?

No. The file is written to a temporary directory, converted, and the directory is deleted as soon as your download has been sent.

Convert XLS to SQL Server

Upload a .xlsx or .xls file and get back a SQL Server SQL script you can load straight into your database. Types are preserved rather than flattened to text. Free, no registration, up to 10MB.

1Upload your file

Click to upload or drag and drop

CSV, Excel, SQLite, SQL, DBF (max 10 MB)

2Choose target format

How your data is typed in SQL Server

Generated from the converter's own SQL Server type mapping — this is what it actually emits, not an example.

Your data	SQL Server type
Whole number	BIGINT
Decimal (money)	DECIMAL(10,2)
Floating point	FLOAT
True / false	BIT
Date	DATE
Date and time	DATETIME2
Short text	NVARCHAR(255)
Long text	NVARCHAR(MAX)
Binary data	VARBINARY(MAX)

Working from a .xls file

A .xls file is BIFF8, the binary format Excel used through 2003. Its hard ceiling is 65,536 rows and 256 columns per sheet, which is the single most common reason a spreadsheet has to become a database: the data outgrew the file format, not the machine.

→The .xls path reads through pandas and xlrd, which does not expose cell number formats - so a column formatted as currency arrives as a floating-point number rather than a fixed-point decimal.
→The preview screen is where to correct that: retype the column to decimal before converting, or re-save the workbook as .xlsx, which does carry its formats through.
→If your file is near the 65,536-row limit, check whether it was already truncated when it was saved - the conversion moves what is in the file, and cannot recover rows Excel dropped.

How names and bytes are written

mssql is the short name the drivers use - the ODBC DSN, SQLAlchemy's mssql+pyodbc, the container image. What it produces is ordinary T-SQL text, and the details worth checking before you run it are how it writes names and how it writes raw bytes.

→Identifiers are wrapped in square brackets rather than double quotes, and a bracket inside a source name is turned into an underscore before the wrapping goes on: a column named Order]Date is created as [Order_Date], so a bracket in your data can never close a name early.
→The identifier cap is 128 characters, high enough that almost every source name survives untouched - one that Oracle would have to cut at 30 arrives here whole.
→Binary columns are VARBINARY(MAX) and their values are written as bare 0x hex literals, with no quotes around them and no conversion function wrapped over them.

Reading XLS

→Numbers, dates and booleans are read as Excel stored them, never converted to text and re-parsed.
→Cell number formats are read out of .xlsx workbooks, so a column formatted as currency becomes a fixed-point decimal rather than a floating-point number — which is how money avoids acquiring a rounding tail. Legacy .xls is the exception: the xlrd path exposes no formats, so its currency columns come across as ordinary numbers.
→A column formatted as a date becomes a date, not a timestamp at midnight; one formatted with a time keeps its time.
→One sheet becomes one table. Empty sheets are skipped, and sheet names are sanitised for the target.

Writing SQL Server

→String literals carry the N prefix, so non-ASCII text survives whatever collation the database uses.
→Timestamps become DATETIME2. T-SQL’s TIMESTAMP is a row-version counter, not a point in time.
→Identity columns are wrapped in SET IDENTITY_INSERT so explicit key values load.
→Statements are separated with GO in batches.

What you get

A ZIP containing dump.sql, plus a README with the exact command to load it. If anything about your data needed a judgement call, a _warnings.txt explains it.

Load this dump into SQL Server:

  sqlcmd -S HOST -U USER -P PASSWORD -d DATABASE -i dump.sql

Notes:

  - Text columns are NVARCHAR and literals carry the N prefix, so
    non-ASCII data survives regardless of database collation.
  - Timestamps are DATETIME2. T-SQL's TIMESTAMP type is a row
    version, not a point in time.

Questions

Is converting XLS to SQL Server free?: Yes. Files up to 10MB convert free with no account. There is a limit of five conversions per day per IP address.
Will my XLS data keep its types in SQL Server?: Yes — that is the point. Whole numbers, decimals, dates and booleans are mapped to real SQL Server types rather than everything becoming text. The mapping table above shows exactly what you get.
Do you store my file?: No. The file is written to a temporary directory, converted, and the directory is deleted as soon as your download has been sent.