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SAV Inspector Local

Inspect SPSS SAV files locally — without uploading them.

SAV Inspector Local runs the SPSS reader inside your browser. Open a .sav or .zsav file, understand its dictionary and inspect its cases without sending the file to a processing server or creating an account.

The browser is the processing environment

The reader is written in Rust and compiled to WebAssembly. When you select a file, the browser passes it to a dedicated worker on your device. The public Local service has no server-side file upload endpoint, so choosing a file does not silently switch to cloud processing.

This boundary is useful for confidential survey, employee and customer data. It reduces one common disclosure route, although the security of the device, browser and installed extensions remains your responsibility.

What you can inspect

Local is designed for the practical task of understanding an unfamiliar SPSS data file before using it in another system.

  • Variable names, labels, formats and measurement levels
  • Value labels, user-defined missing values and observed unlabelled codes
  • Cases with value or label display, search, filters and selected columns
  • Questionnaire structure, batteries and multiple response definitions
  • Quality findings such as constants, possible identifiers and incomplete metadata

A free viewer, not a hidden upload funnel

You can open your own file without registering. Synthetic demo datasets are available if you want to explore the workflow before choosing a file. Local remains the appropriate choice when a file should stay on one device.

When a team needs shared files, named versions, permissions and reviews, SAV Inspector Teams is a separate environment with an explicit encrypted upload. The two data paths are never presented as an invisible mode switch.

Practical workflow
  1. Open Local

    Start the dedicated browser-only application and choose a SAV, ZSAV, CSV or XLSX file.

  2. Inspect the dictionary

    Review variables, labels, missing rules, codeframes and questionnaire structure.

  3. Check cases and quality

    Search values, filter rows and follow findings to the relevant variable.

  4. Export deliberately

    Create a new output file or report; the selected source file is not overwritten.

FAQ

Frequently asked questions

Does Local upload my SAV file?

No. The public Local service processes the selected file with WebAssembly in browser memory and has no server-side file upload endpoint.

Do I need an account?

No. Your own local file and the synthetic demos can be opened without creating an account.

Is browser-local processing the same as complete anonymity?

No. It prevents SAV contents from being uploaded for processing, but the website request and optional contact actions remain normal web traffic, and your device must still be trusted.

When should I use Teams instead?

Use Teams when several authorised people need a shared encrypted file, projects, permissions, immutable versions or a review trail.

SAV Workflow Check

Find out in 30 minutes whether SAV Inspector fits your workflow.

We take one concrete recurring SAV job, define the desired outcome and demonstrate the shortest Local or Teams path. No generic product presentation, no newsletter and no file upload by email.

  • one concrete workflow instead of a feature tour
  • no-upload Local demo or controlled Teams pilot
  • a shared success criterion
  • a clear recommendation — including when SAV Inspector is not a fit

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Guides

Related guides

How to open a SAV file without SPSS.Open an SPSS .sav file without installing SPSS. Compare a local browser viewer, PSPP, R and Python, and choose the right method for your task.Check a SAV file before it becomes someone else's problem.Check SAV metadata, missing labels, identifiers, constants and writer compatibility before handover. Produce a reviewable quality report.Know what is preserved before you open, edit or export.See which SPSS SAV and ZSAV metadata SAV Inspector reads, checks, edits and writes, plus the limits of local CSV and Excel imports.Edit a SAV file without losing track of the source.Edit SPSS variable labels, value labels, missing values and selected data without overwriting the source. Validate and write a new SAV or ZSAV file.