Is converting Excel to SQLite 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 Excel data keep its types in SQLite?

Yes — that is the point. Whole numbers, decimals, dates and booleans are mapped to real SQLite 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 Excel to SQLite

Upload a .xlsx or .xls file and get back a SQLite file. 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 SQLite

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

Your data	SQLite type
Whole number	BIGINT
Decimal (money)	NUMERIC(10,2)
Floating point	REAL
True / false	BOOLEAN
Date	DATE
Date and time	TIMESTAMP
Short text	TEXT
Long text	TEXT
Binary data	BLOB

Working from an Excel file

"Excel" covers two entirely different file formats, and which one you have decides how much type information survives the conversion. It is worth checking what your workbook was actually saved as before you upload it.

→Only .xls and .xlsx are recognised. A macro-enabled .xlsm, or a workbook saved as OpenDocument .ods, is refused before anything is read - save a copy as .xlsx first.
→The two extensions take different code paths inside the reader: .xlsx through openpyxl, .xls through pandas and xlrd, and they do not recover the same amount of information from the file.
→Sheet names become table names with every character outside letters, digits and underscores replaced one for one, so "Q1 Sales (2024)" arrives as Q1_Sales__2024: the space and the opening bracket each leave an underscore behind, and the trailing one is trimmed.

What the .sqlite file looks like inside

The output here is a real database rather than a script, so the interesting question is not how to load it but what SQLite did with the types on the way in. Its storage classes are looser than the declarations the file ends up carrying.

→Names are carried over exactly as they were, with none of the sanitising the script targets apply: a table called Sales Report keeps its space and a column called Order ID keeps its own, so your queries have to quote them.
→Underneath the declared types sit only five storage classes, and NUMERIC affinity - what a decimal column gets - is the loosest of them: it normalises inserted text to whatever a plain INTEGER or REAL column would hold. The precision and scale in the schema are for a human reading it, not a guarantee SQLite enforces on the bytes; the Writing notes below cover what that means for money specifically.
→Declared type and stored type are different things here: a BOOLEAN column holds the integers 1 and 0, and a DATE column holds ISO text, because those are the storage classes SQLite actually has. Every client reads them back the same way.

Reading Excel

→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 SQLite

→Columns get real declared types rather than everything being TEXT.
→Primary keys and NOT NULL constraints are preserved.
→A money column is declared NUMERIC(10,2), but that declaration does not stop SQLite’s own numeric affinity from converting the inserted value into a float once it lands, so 19.99 can come back with a rounding tail. Pick the DuckDB target instead when the exact decimal has to survive.

What you get

A ZIP containing database.sqlite. If anything about your data needed a judgement call, a _warnings.txt explains it.

Questions

Is converting Excel to SQLite 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 Excel data keep its types in SQLite?: Yes — that is the point. Whole numbers, decimals, dates and booleans are mapped to real SQLite 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.