🚀 Faster than IBM SPSS Statistics

Open .sav files instantly.
For Free.

The secure, browser-based SPSS viewer. View your data, headers, and variable labels without the £1,600 license fee. No installation required.

Download Free Lite Viewer

🔒 100% Local & Secure. Your data never leaves your device.

Built by researchers, for researchers

⚡ Freelancers
🎓 PhD Students
🏛️ In-House Teams
📊 Data Pros

The Old Way (IBM SPSS)

  • ❌ Costs £1,600+ per year/user
  • ❌ Requires complex installation & IT approval
  • ❌ Slow to load simple files
  • ❌ Nightmare license key management

The SavQuick Way

  • ✅ Free Lite Version (View & Check Data)
  • ✅ Instant Load - Runs in your browser
  • ✅ Secure - Data never leaves your computer
  • ✅ Portable - It's just an HTML file!

Why researchers are switching

Feature SavQuick IBM SPSS Viewer
Cost Free / £45 £1,600+ / year
Installation None (HTML File) Heavy Desktop App
Platform Mac, Windows, Linux, iPad OS Specific
Data Privacy 100% Local Processing Local / Cloud
Setup Time 2 Seconds 30+ Minutes

Frequently Asked Questions

How can I open a .sav file without SPSS?

SavQuick is the easiest way to open .sav files without SPSS. It is a standalone HTML viewer that runs in any modern web browser (Chrome, Firefox, Safari). Simply download the viewer, open it, and drag your file in.

Is SavQuick secure? Does my data upload to a server?

Yes, it is 100% secure. SavQuick runs entirely on your local machine using WebAssembly technology. Your research data never uploads to the internet or leaves your computer. It works even if you disconnect from Wi-Fi.

Is there a free SPSS viewer for Mac?

Yes! Because SavQuick is an HTML-based tool, it works perfectly on macOS, Windows, and Linux without any complex installation or compatibility issues.

What is the difference between Lite and Pro?

The Free Lite Version allows you to open .sav files, view data, check variable labels, and inspect headers (limited to 50 rows). The Pro Version (one-time purchase) unlocks full data viewing, unlimited rows, and analysis tools like frequency tables and crosstabs.