Convert TSV to SQLite
Upload a .csv or .tsv file and get back a SQLite file. Types are preserved rather than flattened to text. Free, no registration, up to 10MB.
Click to upload or drag and drop
CSV, Excel, SQLite, SQL, DBF (max 10 MB)
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 a .tsv file
Tab-separated files come out of database shells, BI exports and anything that had to avoid commas inside its own values. They go through the same reader as CSV - the tab simply wins the separator sniff - so there is nothing to configure.
- →The extension is what routes an upload, and only .csv and .tsv reach this reader. A tab-separated file saved as .txt or .tab is not recognised, so rename it before uploading.
- →Because the separator is detected from the content and not the extension, a file named .csv that is really tab-separated is still read correctly.
- →Quoting rules still apply: a double quote opening a field is treated as a quote character, which is worth knowing for exports that never intended to quote anything.
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 TSV
- →Leading zeros are preserved. A column containing 01234 is kept as text, never turned into the number 1234.
- →An empty cell becomes NULL, not an empty string — the two mean different things once the data is in a database.
- →Dates are only treated as dates when the format is unambiguous. 03/04/2025 could be March 4th or April 3rd, so it stays text unless another value in the column settles it.
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 TSV 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 TSV 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.