TL;DR
- Testsigma is an NLP based test automation platform that covers web, mobile, API, desktop, and Salesforce testing.
- Drizz is a Vision AI test automation platform built for mobile apps only. You write tests in plain English. Under hood, Vision AI reads screen visually. There are no locators to break or heal because engine never uses them.
- Both tools let non technical testers write tests. The difference is what happens underneath English: locators with AI healing (Testsigma) vs no locators at all (Drizz).
NLP vs Vision AI: what's actually different?
Both tools let you write "Tap on Login" in plain English. What happens next is completely different.
How Testsigma executes "Tap on Login":
- The NLP engine parses your sentence and identifies action (tap) and target (Login).
- It maps "Login" to a pre recorded element locator: an XPath, CSS selector, accessibility ID, or resource ID stored in Testsigma's element repository.
- If no element is stored, recorder or Chrome extension captures locator from app's DOM or view hierarchy.
- The locator is used to find element on screen and execute tap.
- If locator breaks (developer renames button, changes layout), Healer Agent scans for closest matching element and updates locator automatically.
The NLP layer is authoring experience. The execution layer underneath is still locator based. Testsigma's own documentation lists supported locator types: XPath, ID, link text, CSS selector, and more. The Healer Agent mitigates maintenance problem, but architecture is built on locators.
How Drizz executes "Tap on Login":
- The Vision AI engine captures a screenshot of current screen.
- It analyzes screenshot visually: identifies buttons, text fields, labels, and icons by their appearance and position.
- It matches "Login" to element that looks like a login button based on visual context.
- It executes tap directly. No element repository. No locator storage. No DOM query.
There is no locator to break. When a developer renames button from "Login" to "Sign In," Vision AI sees a button in same position with similar visual context and taps it. The self healing isn't fixing a broken locator. It's re reading screen.
Why this matters in practice:
- Testsigma's Healer Agent works well for minor changes. Users report up to 90% less maintenance. But when Healer fails (multiple elements shift at once, a screen is redesigned), someone needs to go back and fix locators manually.
- Drizz's Vision AI handles minor changes same way, but failure mode is different. When it fails, it's because screen looks fundamentally different, not because a locator string is stale.
On r/QualityAssurance, a user who evaluated Testsigma described locator problem directly: "Most of time automatic locators aren't usable" and "50% of time I need to re edit steps." Another user in same thread noted that "test data is a hassle to maintain." These aren't complaints about NLP authoring. They're complaints about what happens underneath it: locators that don't hold up in practice.
On r/reactnative, a developer described same frustration from a different tool: "A lot of my flaky failures aren't actual bugs, [tool] just can't find elements that are clearly on screen." The element is right there visually. The locator can't find it. That's a locator problem, and it applies to any tool that uses them, with or without AI healing on top.
On r/AITestingtooldrizz, a tester who switched described difference: "I was pretty skeptical because 'AI testing' sounds like buzzword but it's actually different in a useful way, first thing I noticed was writing tests stopped being complicated."
Platform scope: everything vs mobile deep
This is biggest structural difference between two tools.
What Testsigma covers:
- Web applications (800+ browser/OS combinations).
- Native mobile apps (Android and iOS on 2,000+ real devices).
- API testing (built in, REST and SOAP).
- Desktop applications.
- Salesforce and SAP testing.
- Built in test management (sprint planning, requirements traceability, Jira integration).
- 30+ integrations with CI/CD, bug tracking, and communication tools.
For teams that need one platform for everything, Testsigma's breadth is real. A single QA engineer can write web tests, mobile tests, and API tests in same tool without switching platforms. On r/QualityAssurance, testers frequently mention wanting a unified platform that lets developers participate. Testsigma fits that.
What Drizz covers:
- Native mobile apps (Android, iOS).
- Mobile web.
- That's it.
No web browser testing. No API testing. No desktop. No Salesforce.
Why Drizz chose mobile only:
- The Vision AI engine is optimized for mobile screen interpretation. Mobile screens have consistent viewport sizes, predictable element patterns, and fewer layout variations than web.
- Mobile specific features go deeper: real device execution, GPS simulation, app lifecycle commands (OPEN_APP, KILL_APP, CLEAR_APP), orientation handling, and Flutter testing support.
- The module system and IF/ELSE conditional logic handle mobile specific branching (permissions dialogs, onboarding screens, OS version differences).
The tradeoff is clear. Testsigma covers five platforms at a good level. Drizz covers one platform deeper.
On r/softwaretesting, a tester running six projects described why depth matters: "It runs on Vision AI so there are no selectors at all, you write tests in plain English and it executes on real iOS and Android devices, tests stay stable even when UI changes which matters a lot when you are juggling 6 projects moving at different speeds."
When should you choose Testsigma?
You test web, mobile, AND APIs. If your product has a React web app, an iOS app, an Android app, and a REST API, Testsigma lets one QA team cover all four from one platform. Drizz covers only mobile apps.
You want built in test management. Testsigma's test management module (launched mid 2025) handles sprint planning, test case organization, and Jira integration. With Drizz, you'd need a separate tool like TestRail or Xray for test management.
You want an open source option. Testsigma's Community Edition is free and open source on GitHub. Drizz has no open source version. For teams with budget constraints who can self host, this matters.
Your locator maintenance is manageable. If your app's UI doesn't change much sprint to sprint, Healer Agent's 90% maintenance reduction is enough. The remaining 10% of manual fixes is a small cost.
You need Salesforce or SAP testing. Testsigma supports these out of box. Drizz doesn't.
When should you choose Drizz?
Mobile is your only testing surface. If your product is a mobile app (or a set of mobile apps) and you don't need web, API, or desktop testing, Drizz goes deeper on mobile than Testsigma's broader platform can.
Your app's UI changes every sprint. On r/FlutterDev, a developer described problem with selector based tools: "Our UI isn't dramatically changing sprint to sprint but small things move around enough that someone always had to go back and fix scripts before a release." The Healer Agent catches most of these, but Vision AI catches them without needing a healing step at all.
Your QA team is non technical. Both tools let testers write in plain English. The difference shows up when something breaks:
- In Testsigma, a failed heal means someone needs to open element inspector, find new locator, and update element repository. That requires understanding of locators.
- In Drizz, a failure means screen looks different enough that AI couldn't match command. The fix is rewriting plain English step to match new screen. No locator knowledge needed.
On r/AITestingtooldrizz, a comparison post noted that Drizz teams see sprint maintenance drop from roughly 30% to about 10%, and that a single test runs cross platform: "Write one Drizz test, run it on Android and iOS." For non technical teams, that cross platform efficiency means fewer tests to write and fewer to maintain.
You need enterprise scale regression suites on mobile. Drizz's customer base includes a publicly listed company running 8,000+ test cases. The module system lets you change a shared login flow once and propagate it across thousands of tests. Self healing keeps suite stable as app evolves.
You want transparent pricing. Drizz offers a free trial (50 runs) and pay as you go pricing. No sales call required to start. Testsigma requires custom quotes with annual contracts. On r/Everything_QA, a team described frustration with opaque enterprise pricing: "cost has crept up and renewal conversations are getting uncomfortable." That applies to any tool that hides pricing behind a sales call.
You want test maintenance to drop, not just shrink. Testsigma's Healer reduces maintenance. Drizz's architecture removes category of problem that causes it.
FAQ
Is Drizz a Testsigma replacement?
For mobile only teams, yes. Drizz replaces Testsigma's mobile testing with a deeper, selector free approach. For teams that also need web, API, desktop, or Salesforce testing, Testsigma covers a wider surface that Drizz doesn't.
Does Testsigma use locators?
Yes. The NLP engine translates plain English commands into locator based actions (XPath, CSS selectors, accessibility IDs). The Healer Agent auto fixes broken locators. The authoring is codeless, but execution is locator dependent.
Does Drizz use locators?
No. Drizz uses Vision AI to interpret each screen visually. It matches plain English commands to elements by their appearance on screen. There are no locators to store, break, or heal.
Which tool is easier to set up?
Testsigma is cloud based with minimal local setup for web testing. Mobile testing requires connecting devices through their agent. Drizz requires downloading desktop app and connecting a device or emulator (15-30 minutes for first test). Both are faster to set up than Appium.
Can I use both tools?
Yes. Some teams use Testsigma for web and API testing and Drizz for mobile app testing. The tools don't conflict because they target different platforms.
Is Testsigma free?
The open-source Community Edition is free and self-hosted. The cloud platform has a free trial. Paid plans require custom quotes. Drizz offers a free trial (50 runs) with transparent pay-as-you-go pricing after that.
