Add your XLS file
Drop one or more .xls files onto the converter above, or browse for them. They load into browser memory only. Nothing is uploaded, so there is no size-based pricing and no server queue.
Converting a .xls file to .sqlite lifts the document's content out of its original format into a portable one. Free, private, and validated: the file never leaves your browser.
Batch files can each use a different output. Nothing uploads for local conversions.
Working inputs include camera RAW, browser-local audio/video, PDF, CBZ/CBR comics, office documents, ebooks, markup, 3D models, structured text, images, and archives.Converting a .xls file to .sqlite lifts the document's content out of its original format into a portable one. An .xls file is a legacy Microsoft Excel workbook in the binary BIFF format, Excel's default from its earliest releases through Excel 2003. Each sheet is a stream of typed binary records (cells, formulas, formats) rather than anything textual.
A .sqlite file is a complete relational database in one file: tables, indexes, views, triggers and the schema that describes them, all readable by a library rather than a server. It is almost certainly the most widely deployed database format in existence, and it is a documented, stable file format rather than an implementation detail. For this route the practical draw is self-contained, server-free and extremely widely supported and a documented, deliberately stable file format with long-term-preservation backing, balanced against type affinity means a column's contents may not match its declared type, which is worth knowing before you commit a large batch.
The practical trigger for this conversion is usually a mismatch: with .xls, the 65,536-row ceiling truncates modern datasets. Switching to .sqlite buys you self-contained, server-free and extremely widely supported, which is why it is the better fit for exporting the tables of an application database for analysis. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.
| Aspect | Excel workbook (.xls) | SQLite database (.sqlite) |
|---|---|---|
| Format type | Text-based: characters and structure, so there is no visual quality loss | Container: quality depends on the codecs and settings inside |
| How it stores data | composed of typed binary records (id, length, payload), LABELSST for shared-string cells, FORMULA for calculations, and hundreds more | the file begins with the 16-byte string 'SQLite format 3' followed by a null byte |
| Strongest at | reading exports from ERP, banking, and lab systems that still emit .xls | exporting the tables of an application database for analysis |
| Weak spot | the 65,536-row ceiling truncates modern datasets | type affinity means a column's contents may not match its declared type |
| Metadata | SummaryInformation streams in the compound file record author, company, and creation and modification timestamps | table and column names and the declared schema are read and carried into worksheet and JSON structure; indexes, triggers and views are described in the conversion summary rather than exported as data |
Drop one or more .xls files onto the converter above, or browse for them. They load into browser memory only. Nothing is uploaded, so there is no size-based pricing and no server queue.
Select .sqlite in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if SQLITE is selectable, the route is real and validated.
Press Convert. A reader for that file's own format opens it in memory on your device and takes out the text and tables; nothing is uploaded.
Each result is checked before the download unlocks: where SQLITE has a signature or a structure this converter can read back, the file is re-opened and parsed, and where it has neither, the check is that a non-empty file of the declared type came back. A result that fails is reported as an error instead of being offered for download, and outputs keep the original filename with the .sqlite extension.
There is no visual quality to lose, because xls is text-oriented and sqlite is container-oriented, so the question is structural fidelity. Text, ordering, and basic structure are preserved; complex layout, embedded objects, and styling beyond the target's model are simplified.
Yes. The .xls file is processed inside your browser tab and never uploaded. A reader for that file's own format opens it in memory on your device and takes out the text and tables; nothing is uploaded. Close the tab and the file is gone from memory.
SQLite ships with Python, PHP, Ruby, Android, iOS, macOS and most Linux distributions, and browser builds run it in WebAssembly. Novus Convert opens .sqlite files locally in the browser and exports to JSON, XLSX or a ZIP of per-table files; nothing is uploaded and no database is persisted after the tab closes. Attached WAL sidecars cannot be supplied through a single-file conversion, so a database is read as it stands on disk.
It depends on the content: the file begins with the 16-byte string 'SQLite format 3' followed by a null byte. Convert one representative file first and compare before batch-processing a large set.
In .xls, SummaryInformation streams in the compound file record author, company, and creation and modification timestamps. Re-encoding through the browser pipeline does not carry embedded metadata into the output, which doubles as a privacy scrub. Check the exported file if you specifically need tags preserved.