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.
ARROW to CSV
Converting a .arrow font to .csv repackages the same glyphs and metrics for a different delivery target. Free, private, and validated — the file never leaves your browser.
Private for supported formats — processed in your browser
Runs on your deviceConvert supported files
Drop ARROW files here
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.About converting Apache Arrow IPC to CSV table
Converting a .arrow font to .csv 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.
A .csv file is a comma-separated values table: plain-text rows with commas between fields, optionally quoted. It is probably the most widely produced data format in existence, emitted by everything from banking portals to lab instruments. For this route the practical draw is supported by effectively every data tool ever written and human-readable and hand-editable in a pinch — balanced against no type information — Excel famously strips leading zeros and mangles dates on open, which is worth knowing before you commit a large batch.
Why convert ARROW to CSV?
The practical trigger for this conversion is usually a mismatch: with .arrow, uncompressed by default, so files are substantially larger than Parquet. Switching to .csv buys you supported by effectively every data tool ever written, which is why it is the better fit for exports from databases, CRMs, and banking systems. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.
ARROW vs CSV at a glance
| Aspect | Apache Arrow IPC (.arrow) | CSV table (.csv) |
|---|---|---|
| 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 | fields containing commas, quotes, or newlines are wrapped in double quotes with embedded quotes doubled — the rule that breaks every naive split-on-comma parser |
| Strongest at | handing a table between Python, R, Java and JavaScript without a serialization step | exports from databases, CRMs, and banking systems |
| Weak spot | uncompressed by default, so files are substantially larger than Parquet | no type information — Excel famously strips leading zeros and mangles dates on open |
Pick CSV as the output
Select .csv in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if CSV is selectable, the route is real and validated.
Convert on your device
Press Convert. The font tables are parsed and rewritten locally with fonteditor-core; glyph outlines, hinting, and kerning survive the trip.
Verify and download
Each result is signature-checked before the download unlocks, so a failed encode can never masquerade as a valid CSV file. Outputs keep the original filename with the .csv extension.
ARROW to CSV questions, answered
Will converting ARROW to CSV lose quality?
There is no visual quality to lose — arrow is lossless-oriented and csv 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.
Is it private to convert ARROW files here?
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.
Where will the CSV file work?
Every spreadsheet, database, and programming language handles CSV, and browsers or text editors open it as plain text. The catch is dialect drift: delimiter, encoding, and quoting choices differ enough that robust importers always offer manual overrides.
Will the CSV file be bigger or smaller than my ARROW?
It depends on the content: fields containing commas, quotes, or newlines are wrapped in double quotes with embedded quotes doubled — the rule that breaks every naive split-on-comma parser. Convert one representative file first and compare before batch-processing a large set.
What happens to the metadata in my ARROW file?
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.
Can I convert CSV back to ARROW?
Yes — the reverse route exists as a separate tool. Bear in mind that round-tripping .arrow → .csv → .arrow is not a perfect undo when any lossy step is involved; keep your original if fidelity matters.