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 .msgpack 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 .msgpack 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 .msgpack file holds MessagePack data: a binary encoding of the same value model JSON uses (maps, arrays, strings, numbers, booleans, null) packed into as few bytes as it can manage. It is often described as binary JSON, and for the common cases that is accurate. For this route the practical draw is noticeably smaller and faster to parse than JSON for the same data and exact integers and real binary support, both of which JSON lacks, balanced against not human-readable, so debugging needs a tool rather than a text editor, 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 .msgpack buys you noticeably smaller and faster to parse than JSON for the same data, which is why it is the better fit for compact message payloads on constrained links or between microservices. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.
| Aspect | Excel workbook (.xls) | MessagePack (.msgpack) |
|---|---|---|
| Format type | Text-based: characters and structure, so there is no visual quality loss | Lossless: every pixel or sample is preserved exactly |
| How it stores data | composed of typed binary records (id, length, payload), LABELSST for shared-string cells, FORMULA for calculations, and hundreds more | small values are encoded in a single byte: integers from -32 to 127 and short strings and arrays carry their length in the type byte itself |
| Strongest at | reading exports from ERP, banking, and lab systems that still emit .xls | compact message payloads on constrained links or between microservices |
| Weak spot | the 65,536-row ceiling truncates modern datasets | not human-readable, so debugging needs a tool rather than a text editor |
| Metadata | SummaryInformation streams in the compound file record author, company, and creation and modification timestamps | MessagePack has no metadata layer beyond the data itself; type information survives into JSON and YAML only where those formats can express it |
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 .msgpack in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if MSGPACK 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 MSGPACK 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 .msgpack extension.
There is no visual quality to lose, because xls is text-oriented and msgpack is lossless-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.
Official and community libraries cover C, C++, Java, Python, Ruby, Go, Rust, PHP, C# and JavaScript. Novus Convert decodes .msgpack in the browser into a JSON-compatible typed model and writes JSON, CSV, XLSX, YAML or YML. Values with no JSON equivalent (binary blobs, non-string map keys, unknown extension types) are normalized explicitly and reported rather than dropped silently.
It depends on the content: small values are encoded in a single byte: integers from -32 to 127 and short strings and arrays carry their length in the type byte itself. 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.