Add your ARROW file
Drop one or more .arrow 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 .arrow font to .xlsx repackages the same glyphs and metrics for a different delivery target. 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 .arrow font to .xlsx repackages the same glyphs and metrics for a different delivery target. An .arrow file is an Apache Arrow IPC file: a columnar table written in exactly the memory layout Arrow uses at runtime, so a reader can point at the bytes and start working without parsing or copying anything. The file format is the in-memory format with a header, a footer and a little framing, which is the entire idea.
An .xlsx file is a modern Excel workbook — a ZIP archive of SpreadsheetML XML parts describing sheets, shared strings, styles, and formulas. It has been Excel's default save format since 2007 and the de facto interchange format for tabular business data. For this route the practical draw is vast grid limits compared with the legacy .xls format and documented ZIP-of-XML anatomy — any ZIP and XML library can mine it, which is how in-browser conversion works here — balanced against date-as-serial-number storage causes subtle off-by-one and timezone bugs, which is worth knowing before you commit a large batch.
The practical trigger for this conversion is usually a mismatch: with .arrow, uncompressed by default, so files are substantially larger than Parquet. Switching to .xlsx buys you vast grid limits compared with the legacy .xls format, which is why it is the better fit for the standard vehicle for exchanging spreadsheets between organizations. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.
| Aspect | Apache Arrow IPC (.arrow) | Excel workbook (.xlsx) |
|---|---|---|
| Format type | Lossless — every pixel or sample is preserved exactly | Text-based — characters and structure, so there is no visual quality loss |
| How it stores data | data is columnar: each column is one contiguous buffer plus an optional validity bitmap, so a scan touches only the columns it needs | xl/worksheets/sheetN.xml holds rows of typed cells; text cells usually point into xl/sharedStrings.xml to avoid repetition |
| Strongest at | handing a table between Python, R, Java and JavaScript without a serialization step | the standard vehicle for exchanging spreadsheets between organizations |
| Weak spot | uncompressed by default, so files are substantially larger than Parquet | date-as-serial-number storage causes subtle off-by-one and timezone bugs |
| Metadata | the embedded schema, field names and custom key-value metadata are read; JSON and CSV have nowhere to put schema metadata, so it is reported rather than carried | docProps/core.xml carries Dublin Core creator and date fields while docProps/app.xml records the generating application and company — both ride inside the ZIP |
Drop one or more .arrow 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 .xlsx in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if XLSX is selectable, the route is real and validated.
Press Convert. The font tables are parsed and rewritten locally with fonteditor-core; glyph outlines, hinting, and kerning survive the trip.
Each result is signature-checked before the download unlocks, so a failed encode can never masquerade as a valid XLSX file. Outputs keep the original filename with the .xlsx extension.
There is no visual quality to lose — arrow is lossless-oriented and xlsx is text-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 .arrow file is processed inside your browser tab and never uploaded. The font tables are parsed and rewritten locally with fonteditor-core; glyph outlines, hinting, and kerning survive the trip. Close the tab and the file is gone from memory.
Excel 2007 onward, LibreOffice Calc, Google Sheets, and Apple Numbers all handle .xlsx, and nearly every data-processing library reads it. Support is equally solid on iOS and Android through the same vendors' apps.
It depends on the content: xl/worksheets/sheetN.xml holds rows of typed cells; text cells usually point into xl/sharedStrings.xml to avoid repetition. Convert one representative file first and compare before batch-processing a large set.
In .arrow, the embedded schema, field names and custom key-value metadata are read; JSON and CSV have nowhere to put schema metadata, so it is reported rather than carried. 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.