A fast, native CSV editor for macOS.

Open CSV files straight from Finder, edit them like a spreadsheet, and save them back as exactly what they are: plain text. No import wizards, no type guessing, no mangled data.

• Native and lightweight — A real Mac app built with SwiftUI. Starts instantly, feels at home on macOS.
• Your data stays plain text — What you see is what's in the file. Values are never reinterpreted, reformatted, or silently converted. Exports use proper CSV quoting and end with a trailing newline.
• Document-based — Double-click any .csv file in Finder and start editing.

• Click to select a cell, double-click to edit it
• Navigate with the arrow keys, start editing with Return
• Tab / Shift+Tab move the edit session left and right, Return moves down
• Shift+Return inserts a line break inside a cell
• Shift+Click selects a rectangular cell range
• Click a row number or column header to select the whole row or column

• Cmd+C / Cmd+X / Cmd+V work on cells, ranges, rows, and columns
• Pasting expands the table automatically when the data doesn't fit
• Pasted text can be comma-, tab-, or semicolon-separated — so data from Excel, Numbers, and other tools just works

• Drag rows by their row number, columns by their header
• An insertion line shows exactly where the dragged row or column will land

• Cmd+Z / Shift+Cmd+Z undo and redo every change — cell edits, pastes, deletions, and reorderings

• Drag a column edge to resize it, double-click the edge to fit the content
• Wrap or clip long cell content with one toolbar click

• Right-click context menus to copy, clear, or delete rows and columns
• Open URLs in cells directly from the context menu
• Row numbers, pinned header row, and a monospaced font that keeps data aligned

Build and install the app with Xcode installed:

git clone https://github.com/Airsequel/AirCSV
cd AirCSV
make install

This builds a universal binary and copies AirCSV.app to /Applications.

make help    # List all make targets
make dev     # Build and launch the app with an example CSV
make test    # Run the test suite