CSVtoSheets is a tiny Mac app that turns the most annoying part of working with data into a double-click. Every time you export a CSV from a BI tool, ad platform, or bank, opening it in Google Sheets means the same routine: new sheet, File, Import, upload, pick settings, wait. Three minutes of clicking you repeat hundreds of times a year. CSVtoSheets kills that. Double-click any .csv, .xls, or .xlsx file and it opens as a fresh Google Sheet in about a second.

Setup takes roughly 30 seconds. You sign in with Google once, in your browser, and the app handles every file from then on. No import dialog, no manual upload, no copy-paste.

It's built for people who live in spreadsheets — analysts opening daily BI exports, marketers turning ad-platform dumps into shareable dashboards, finance and ops teams cleaning up payout and expense reports. If you open more than a couple of CSVs a week, it pays for itself in days.

Privacy is the part most people ask about, so here's the short version: your files never touch our servers. The app runs locally on your Mac and sends data straight to Google.

Your Google sign-in stays encrypted in the Apple Keychain on your machine — we can't see it, and we can't see your spreadsheets. CSVtoSheets uses Google's most restrictive Drive permission (drive.file), so it can only touch the sheets it creates or files you explicitly open with it. It can't see, list, or read anything else in your Drive.

Pricing is refreshingly boring: one payment of $14, lifetime license, no subscription. The free version lets you test with 3 files, so you can confirm it works on your machine and your data before paying. There's a 30-day money-back guarantee if it's not for you.

The app is sandboxed, notarized, and macOS-native, and supports .csv, .xls, and .xlsx out of the box.

And if you just need a quick one-off conversion without installing anything, csvtosheets.com also hosts 17 free browser tools — CSV to JSON, Excel, SQL, PDF, Markdown and more — that run entirely in your browser, so nothing gets uploaded anywhere.

Built by an indie maker for data-driven people who'd rather spend their time analyzing data than importing it.