Regression that takes days by hand
Large desktop apps have hundreds of windows, dialogs and settings to recheck before every release.
[ Why desktop automation testing matters ]
Desktop automation drives your application through its real interface, clicking, typing, opening files and switching windows, and checks each result on the operating systems your users have. The checks your team repeats before every release become a suite that runs on every build.
Desktop apps are installed, upgraded and run alongside other software, on OS versions, display settings and permissions that differ from machine to machine. An update that breaks a working install is hard to take back.
Need broader desktop testing, including performance, security and accessibility? See desktop application testing →
The problems it solves
Large desktop apps have hundreds of windows, dialogs and settings to recheck before every release.
Customers run your app on OS versions, editions and display settings nobody on the team uses.
A new build works on a clean machine and fails on one upgraded from last year’s version.
Win32 apps, custom controls and Citrix sessions hide their controls from ordinary tools.
[ How it helps your product ]
Five outcomes product and engineering leads ask us about, and how a well-built suite delivers each one.
Smoke tests run on every build and full regression runs unattended overnight, so a broken build is caught before it reaches testers or customers.
More workflows, OS versions, display settings and upgrade paths than a manual pass can cover in the same window.
Installers, upgrades and critical workflows are checked the same way before every release, not only the big ones.
Building the suite is an upfront investment. Each later run costs little, and manual effort moves to work only people can do.
Automation IDs, proper waits and a clean VM per run keep failures meaningful, so a red build means a real problem.
| Manual-only regression | Automated desktop regression | |
|---|---|---|
| Regression cycle | Repeated by hand before each release | Runs on every build, unattended |
| OS coverage | The one or two machines on the team’s desks | An agreed OS matrix on virtual machines |
| Installer and upgrade checks | Done when there’s time | Every build, from a clean VM snapshot |
| Consistency | Varies with time pressure and who is testing | Same steps and checks on every run |
| Evidence | Notes and screenshots, where someone captured them | Screenshots, video and logs for each failure |
| Where testers spend time | Repeating known checks on each OS | New features, usability and exploratory testing |
Honest note: automation suits stable, repeatable checks. New features, usability, hardware and peripherals, and exploratory work stay with people, and we’ll tell you which is which.
[ Types of desktop automation we deliver ]
Most teams start with smoke, regression and installer tests on their main OS, then widen the OS matrix and add layers as the suite proves itself.
Each window, dialog and feature checked against its rules: inputs, validation, menus, shortcuts and the messages users see.
The checks your team repeats before every release, turned into a suite that runs unattended on every build.
A short suite that installs each new build, launches it and walks the core paths, so broken builds never reach testers.
Whole tasks the way users do them: open a file, edit, save, export and sync, across several windows and sessions.
Installers and updates tested from clean virtual machine snapshots: fresh installs, upgrades from older versions with settings kept, and clean removal.
The same suite run across the OS versions and editions in your matrix, on Hyper-V, VMware, Parallels or VirtualBox.
One workflow run against many data sets from files or the database, covering the combinations your users actually enter.
API calls set up data and check backend state, so UI tests stay short and a failure points to the layer that broke.
Records checked after UI actions, so a saved form really means the data was written correctly.
Where controls can’t be reached through accessibility APIs, such as Citrix sessions or custom-drawn controls, tests find and check elements by image.
Suites wired into Jenkins, GitHub Actions, GitLab CI or Azure DevOps: build, install on a fresh VM, test, and post results back to the build.
We take over existing desktop suites, fix flaky tests at the cause, and move between tools, such as record-and-playback scripts into code, when there’s a clear reason.
[ Desktop technologies we automate ]
How your app is built decides which tools can reach its controls. These are the technologies we automate, and where we usually start.
Data-bound views, styles and templates, reached through automation IDs.
Typical tools: FlaUI, WinAppDriver, AppiumForms, grids and dialogs in long-lived line-of-business apps.
Typical tools: FlaUI, WinAppDriver, pywinautoModern and packaged Windows apps.
Typical tools: WinAppDriver, AppiumNative Windows apps with standard and custom controls.
Typical tools: pywinauto, AutoIt, FlaUIDesktop apps built on web technology, on any OS.
Typical tools: Playwright, WebdriverIOC++ and QML apps on Windows, macOS and Linux.
Typical tools: SquishJava desktop apps on any OS.
Typical tools: Squish, TestComplete, RanorexAppKit and SwiftUI apps.
Typical tools: Appium with the Mac2 driverApps delivered over a remote session, where only the screen image is available.
Typical tools: SikuliX, image-based checks in TestComplete or Ranorex[ How you benefit from working with us ]
Beyond the tests themselves: how we work with your team, and what you keep when the engagement ends.
We work with WinAppDriver, FlaUI, pywinauto, Squish and Playwright as well as TestComplete and Ranorex, so we recommend what fits your app and budget, and explain why.
Tests start from VM snapshots on Hyper-V, VMware, Parallels or VirtualBox, so leftovers from the last run never hide a bug.
Frameworks are written in your repository, in your team’s language, with documentation. No proprietary layer, no lock-in.
Our desktop testers explore new features, hardware and peripherals while automation covers regression.
Every failure comes with screenshots, video and logs, and real defects go into Jira with the OS and build.
A fixed-scope build, managed testing, a dedicated team or an engineer in your sprints. See all six.
[ Technology & tool stack ]
We pick each layer with your team, based on how your app is built, the operating systems you support and the pipeline you already run. On the right is an example layout.
DesktopTests/
Windows/ MainWindow.cs InvoiceDialog.cs
Tests/
Smoke/ LaunchTests.cs
Invoices/ CreateInvoiceTests.cs ExportTests.cs
Install/ UpgradeTests.cs
Api/ InvoicesClient.cs
Data/ invoices.csv
Config/ win11.json win10.json
vm/ snapshots.yml
azure-pipelines.yml
Example only. Your layout follows your tool, language and team.
Desktop tools, and where each fits best
Windows apps through WebDriver, so teams can reuse Selenium-style skills.
One WebDriver-based approach across Windows and macOS apps.
Appium testing services →.NET teams automating WPF, WinForms and Win32 apps in C#.
Python teams automating Win32 and UI Automation-based apps.
Qt, Java and cross-platform apps on Windows, macOS and Linux.
Electron apps, with direct access to the app’s web layer.
Playwright testing services →JavaScript and TypeScript teams testing Electron or using Appium drivers.
Image-based automation for Citrix, remote sessions and custom-drawn controls.
Windows system dialogs and installer prompts other tools can’t reach.
Keyword-driven tests that non-developers can read and extend.
Teams that want a commercial tool with recorded, scripted and image-based tests.
Teams that want a commercial tool with a recorder and C# code when needed.
Comparing tools in depth? See our tool-agnostic testing services →
[ How we work ]
You see working tests on real operating systems early, and you approve each stage before we build on it.
We review your app, how it’s built, the operating systems you support, your release cycle and current tests.
Tool, language, structure, test data, VM setup and reporting agreed with your team.
A first set of real tests that builds, installs and runs from your CI, so you can judge the approach.
Highest-risk workflows first, then installers, more OS versions and data combinations.
Suites run on every build or agreed triggers. We triage failures and log real defects in your tracker.
Flaky tests fixed at the cause, the suite kept in step with each OS and app release, and a walkthrough for your team.
[ Deliverables ]
Everything below is yours to keep, whether we stay on to run the suite or hand it over to your team.
What to automate, in what order and with which tool, and what should stay manual.
The OS versions, editions, display settings and VMs we test on, built from your customer data.
Committed to your repo, under your access controls, in your team’s language.
Which workflows, windows and environments are covered, and what comes next.
Build, install and test jobs with quality gates in Jenkins, GitHub Actions, GitLab CI or Azure DevOps.
Allure or Extent reports with screenshots, video and logs for every failure.
Steps, OS, build and evidence, logged in Jira.
Each unstable test, its cause and the fix, so suite health stays visible.
Setup guide, VM configuration and a live walkthrough so your team can run and extend the suite.
[ Ways to work ]
A new suite, a rescue of an existing one, ongoing runs or an engineer in your team.
Not sure which fits? Find your model in four questions, compare all six or estimate your cost.
[ FAQ ]
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[ Contact us ]
✓ Free one-week POC✓ NDA before access✓ A QA lead replies the same day
[ Keep exploring ]
All automation services
02Windows, macOS and Linux QA
03Browser automation in your CI
04Contracts, roles and regression
05Android and iOS on real devices
06OS versions, devices and settings