The 10 Best AI-Powered Test Automation Tools in 2026

Liviu Lupei

Founder & Solutions Architect, Endtest · October 1, 2026

Quick answer

I tested 10 AI-powered test automation tools against the same 9 real-world scenarios (email verification, iframes, dynamic elements, multiple tabs, language assertions, reusable steps, SMS codes, PDF extraction and API-to-UI flows) and rated them on 12 further criteria. Endtest was the only tool that passed all 9 scenarios without a workaround, and it also had the fastest execution speed at 1.21 steps/sec. mabl and Functionize came next with 6/9. Teams already on BrowserStack or UiPath will find their testing products a natural fit, Katalon suits technical QA teams that want both low-code and scripted automation, and Testim is a good choice for Salesforce flows.

Real-world scenario results for all 10 tools

Every tool ran the same 9 functional scenarios on the same websites. This table is the core of the comparison.

Legend:

• ✅ Pass: completed successfully without unusual intervention.
• ⚠️ Workaround: passed with a workaround, meaning it required extra configuration, custom code, an external service, or another workaround.
• ❌ Fail: could not successfully complete the scenario.

Key takeaways

• Endtest was the only tool that passed all 9 real-world scenarios without a workaround.
• mabl (6/9 + 3 workarounds) and Functionize (6/9 + 2 workarounds) came closest.
• Only Endtest and Functionize can receive a real SMS message natively; the other 8 tools need an external provider.
• Iframes were the hardest scenario: only Endtest and mabl passed without a workaround, and 5 tools failed it.
• Execution speed ranged from 0.38 steps/sec (mabl) to 1.21 steps/sec (Endtest).
• All 10 tools passed the language assertion and the reusable values and steps scenarios.
• Portability and vendor lock-in is the one criterion where two tools, TestMu AI KaneAI and UiPath Test Cloud, rated higher than Endtest.

Disclosure and methodology

I'm Liviu Lupei, Founder & Solutions Architect at Endtest, and Endtest is one of the 10 tools reviewed here. I have tried to keep the comparison fair by running the exact same scenarios on the exact same websites for every tool, and by saying plainly where other tools did better.

I followed the same process for each tool. For the functional flows, I used the same websites and the same approaches. For AI-generated tests, I used the same instructions in the prompts whenever possible. No tool received more patience than the others; when something failed, I checked the docs for an obvious setting or recommended approach I might have missed. I didn't label a scenario as successful because the vendor's documentation said it's supported. I tried it myself.

A scenario counts as passed only if the tool handled it without unusual intervention. If it needed custom code, extra configuration, a third-party service or some other workaround, it counts as passed with a workaround. Using an external service is not the same as a built-in feature: if a tool can read an SMS only by integrating with another SMS provider, that's not the same as the platform providing a real phone number and receiving the SMS itself. The same logic applies to email verification and PDF files.

Execution speed is the average number of executed steps per second for the same tests, in cloud executions. Subjective criteria such as usability, readability and maintenance use a four-level scale: Excellent, Good, Average and Poor.

Beyond the 9 scenarios, I rated every tool on these 12 criteria:

1. Creating tests with AI
2. Autonomous test generation
3. Creating tests without AI
4. Execution performance
5. Test transparency and readability
6. Cross-browser testing
7. Maintenance and debugging
8. Documentation and customer support
9. Enterprise readiness
10. Portability and vendor lock-in
11. Pricing and value
12. Overall usability

Where other tools are the better choice

Endtest passed every scenario, but it was not rated highest on everything. On portability and vendor lock-in, TestMu AI KaneAI and UiPath Test Cloud both rated Excellent where Endtest rated Good, thanks to their code export options, and Autify Nexus's Playwright import and export is one of the better approaches if avoiding vendor lock-in is a priority. Teams already using BrowserStack or UiPath get easy access to the rest of those ecosystems, Tricentis Testim is a good fit for Salesforce flows, and mabl's API testing features were better than I expected.

Contents

• Quick answer
• Real-world scenario results for all 10 tools
• Key takeaways
• Disclosure and methodology
• Why I wrote this comparison
• How I picked the 10 tools
• The 9 real-world scenarios I tested
• How the 10 tools rate across 12 criteria
• Real-world scenario results in detail
• The 12 evaluation criteria explained
• Individual tool summaries
  • Endtest: best overall, 9/9 scenarios and the fastest execution
  • mabl: enterprise E2E platform with strong API testing
  • Functionize: strong AI test creation with native SMS testing
  • Katalon: mature low-code and scripted automation for technical QA teams
  • BrowserStack Low Code Automation: best for teams already on BrowserStack
  • Autify Nexus: Playwright-based tool with a visual, AI-assisted layer
  • TestMu AI KaneAI: AI test creation on a large browser and device cloud
  • ACCELQ: codeless enterprise automation with strong governance
  • Tricentis Testim: mature test creation and debugging, including Salesforce flows
  • UiPath Test Cloud: enterprise testing inside the UiPath ecosystem
• Frequently asked questions
• Related articles

Why I wrote this comparison

I know, I know, you probably rolled your eyes when you saw the title.

But hear me out. There are hundreds or thousands of "best test automation tools" articles that are low-effort AI-generated pieces for SEO purposes, and it frustrates me that no one actually tries to do a fair and in-depth comparison of those tools.

I've been working in web development for almost 15 years, and my main focus was always on test automation. I feel like most software tools nowadays are like cars: there is no "the best one", but there is "the best one for your team, budget, situation, etc."

Most of the "reviews" we see today are superficial: a list of features, some shallow comparisons and some obvious conclusions. We don't see any proof that the author tried the tools, or any insight beyond what the marketing pages already say.

It's also not as easy as you may think to try out a tool. Some vendors don't give away free trials because they want to control the first impression in a demo call, before anyone on your team gets a chance to try it out. And yes, I don't like dealing with sales reps. Believe me, I pulled a few strings to get access to some of these tools, mostly by asking friends to sign up with their company emails and book demos.

Other tools have an even sneakier approach: mimicking a "developer-friendly" attitude, making you think it's just some cool open-source tool, getting you to put it in your stack and then casually trying to upsell it to your management without you even knowing about it.

Even if such things leave a bad taste, I'm going to ignore them for the purpose of this review, because we'll be focusing only on the technical capabilities.

How I picked the 10 tools

I picked these 10 tools by looking at G2 and Capterra reviews, Reddit mentions and appearances in job listings, because there are too many test automation tools to try them all.

The 9 real-world scenarios I tested

Every tool ran the exact same 9 functional scenarios. These are difficult scenarios where testing tools might hit a wall:

1. Sign up using email verification.
2. Interact with elements inside an iframe.
3. Interact with elements that have dynamic or unreliable attributes.
4. Complete a flow spanning multiple browser tabs.
5. Assert that a page is displayed in a specific language.
6. Reuse values and groups of steps.
7. Extract a verification code from a real SMS message.
8. Download a PDF and extract information from it.
9. Send an API request and use its response in a browser step.

Testing 9 different scenarios across all 10 tools seems like a healthy way to review them.

How the 10 tools rate across 12 criteria

These two tables summarize the ratings on the 12 criteria; each criterion is explained in its own section further down.

Testing capabilities

Ownership and day-to-day use

Rating guide:

• Excellent: Among the strongest tools tested in this area, with no major shortcomings.
• Good: Strong overall, but with some noticeable limitations.
• Average: Gets the job done, but has meaningful trade-offs.
• Poor: Significant limitations or friction compared with the other tools.

Real-world scenario results in detail

Now that the summary is out of the way, let me show you what those exact scenarios looked like.

1. Sign up using email verification

Endtest, mabl and Testim passed the signup with email verification outright; 4 tools needed a workaround and 3 failed.

I gave the instruction to create an account on some website and to verify the email. While all the tools were able to enter the details and submit the form, very few were able to handle the entire scenario.

Endtest entered a random endtest-mail.io address, which it was able to access via the Endtest Mailbox.

The full signup flow with email validation in Endtest.

Validating the email using the Endtest Mailbox.

mabl and Testim also handled it well. The rest got stuck or gave a message that this isn't supported.

2. Interact with elements inside an iframe

Endtest and mabl handled the iframe scenario perfectly; 3 tools needed a workaround and 5 failed.

I tried it on this page: https://www.w3schools.com/tags/tryit.asp?filename=tryhtml_select

Click on the Run button, interact with the elements from the iframe on the right side, then click Run again. You should see the test switch into the iframe and back out.

mabl correctly handling the iframe scenario.

Some tools didn't capture any events inside the iframe. Others captured the events, but registered them as being on the main DOM instead of the iframe.

Testim didn't work for this scenario. I also tried using a Custom Step as a workaround, but that didn't work either.

The iframe scenario in Testim.

3. Interact with elements that have dynamic or unreliable attributes

Endtest, ACCELQ and Testim handled dynamic attributes best: they detected the generated values and left them out of the selectors.

Recording steps is easy, but getting those steps to be reliable is not.

Bad locator: //*[@id="input-89437291"]

Better locator: //input[@name="email"]

An ACCELQ scenario from the locator and dynamic-element testing.

Those tools detected that certain attributes were dynamically generated and didn't use them in the selectors generated for those steps. The rest of the tools had no shame in using those obviously dynamic attribute values.

Hint: dynamic attribute values usually have numbers or random characters; it's not that hard to detect them.

Worth mentioning that mabl was able to pass this one after changing the settings to make it ignore those specific attributes.

4. Complete a flow spanning multiple browser tabs

Most tools handled the multiple-tab flow easily; Testim was the exception and failed it even with a Custom Step workaround.

There are many situations where a test might need to switch across different tabs. My typical approach involves:

• switch to a tab that was opened by clicking a button
• open a new empty tab and switch to it
• switch back and forth across multiple tabs (5-6)
• close the current tab

Most tools were able to handle this easily, since the browsers also make it easy.

Testim was an exception. I couldn't get the multiple-tab flow to work, and I also tried using a Custom Step as a workaround, but that didn't work either.

The failed multiple-tab scenario in Testim.

5. Assert that a page is displayed in a specific language

All 10 tools passed the language assertion, because all of them have AI Assertions.

This is what I would call a "fuzzy" assertion, something you wouldn't be able to verify so easily with tools from 5 years ago.

For example, a website has a button to switch the language to French. We then want to go to a certain page and verify that the entire content is actually displayed in French. This isn't something that can be handled by a classic "Element Contains Value" assertion, and seeing "lang=fr" in the current URL doesn't prove that the content is displayed in French.

The only solution is for the tool to use an AI Assertion to verify the situation.

Using an Endtest AI Assertion to check the language of the page.

An assertion in ACCELQ.

6. Reuse values and groups of steps

All 10 tools support reusing values and groups of steps, in one way or another.

I'd expect modern test automation tools to allow the same best practices as scripting languages: reusing values (variables) and groups of steps (components, test cases, etc.).

For example, if you have a login flow, you'd want to define the username, password and steps in only one place, and reuse that login across other tests. If something changes in your login flow, you only update it in one place.

Using variables in mabl.

Using Shared Steps in Testim.

7. Extract a verification code from a real SMS message

Only Endtest and Functionize can receive a real SMS natively; the other 8 tools required an external provider.

The best example here is a login flow with 2FA enabled, where you get an SMS with the authentication code.

Ideally, this should be achieved natively in the tool, without third-party integrations and complicated workarounds. That means the tool needs to assign a real phone number to your team, because we want to see that the SMS was actually delivered, and not just extract the authentication code from a database or an endpoint.

Surprisingly, only Endtest and Functionize support this SMS flow.

SMS verification in Functionize.

All the other tools required you to call some external provider to achieve that.

8. Download a PDF and extract information from it

Endtest, mabl, BrowserStack Low Code Automation and UiPath Test Cloud extracted information from a downloaded PDF without a workaround; Autify Nexus doesn't support PDF testing at all.

This is trickier than it sounds, because any tool can open a PDF and take a screenshot. Extracting actual information from the PDF isn't so easy, since most of these tools use WebDriver or Playwright under the hood, and those can't extract information from a PDF file.

A user would expect to do that directly, without third-party tools, with more than a visual validation, and for PDFs opened in a new tab or downloaded (even via API steps).

Autify doesn't support PDF testing at all. It only lets you see the URL of the PDF; you can't inspect, extract or validate the contents of the PDF itself.

9. Send an API request and use its response in a browser step

Most tools handled the API-to-UI scenario because they have a "Send API request" type of action; BrowserStack Low Code Automation and TestMu AI KaneAI failed it, and Autify Nexus needed a workaround.

In advanced E2E flows, you often need to send an API request and then reuse the returned value in a UI step, or vice versa. That's why it's important for UI steps and API steps to be in the same interface.

An API request in Katalon.

The 12 evaluation criteria explained

1. Creating tests with AI

Creating tests with AI means giving granular or high-level instructions and getting a reliable, saved test, not a blind conversion of instructions into steps.

The tool has to understand each instruction, inspect the elements, find the best locator, verify that the step works and save the step. Both speed and reliability matter here, but reliability is more important: I'm OK with test creation taking a bit longer, as long as I can actually rely on that test later. Endtest and five other tools rated Excellent on this criterion; the AI Test Creation Agent is how Endtest approaches it.

2. Autonomous test generation

Autonomous test generation means giving the tool a URL and some directions, and getting explored flows and completed, executable tests back.

We don't want the tool to just look at the website and print some scenarios. We expect it to actually navigate all the flows and generate executable tests, without splitting the job into one feature that "comes up with test cases" from specs and another that tries to automate them, and without coming back with questions about each scenario.

I want something like an autonomous QA colleague, where I provide some direction and then they go and do their work and keep me updated. The Endtest Bot is the best example here, because it's like hiring a test automation expert that works independently. Endtest and Katalon both rated Excellent on this criterion.

3. Creating tests without AI

A modern test automation tool should not force a user on the AI path; Endtest, Katalon and UiPath Test Cloud rated Excellent for creating tests without AI.

Some users don't want AI in their workflows. This should not shock you. They have their reasons, either because they're working in sensitive domains (healthcare, defense, etc.) or because they want to be in full control of the process.

Endtest allows users to create tests in 3 different ways without using AI:

• Endtest Web Recorder
• Manual test creation
• Import tests from files

4. Execution performance

Execution performance means cloud execution speed, and around 1 step per second is a fair benchmark; a slower tool is probably doing things it doesn't need to.

Speed also depends on the web application and the browser, so keep expectations realistic. Making calls to some AI endpoint during the test execution for each step is not a good approach, because that adds a delay. You shouldn't have steps stored as "Click on Login button", because the tool will call the AI each time it executes that step, in order to figure out which one is the Login button. The only time it's acceptable to call an AI endpoint during execution is for situations that can't be resolved without AI, such as AI Assertions or self-healing.

From what I could figure out, some tools have lower speeds either because their cloud infrastructure is more complicated than it needs to be or because they're collecting too many artifacts. Ideally, you should allow the user to configure what artifacts need to be collected, and the tool should fetch the DOM only when there is a failure, not for every step.

5. Test transparency and readability

Tests should be stored as human-readable steps with clear selectors and parameters, so a test executed 1000 times runs the exact same instructions each time.

The last thing we want is a black box. We don't want a test that shows us high-level instructions like "Perform the login", or even granular instructions like "Click on the Login button". Storing tests as instructions for an AI invites ambiguity: you're not sure what that test will do, and you're not sure if it's the right thing.

The other thing we don't want is for the output to be code. Using no-code tools to generate code tends to turn into a messy process.

6. Cross-browser testing

Cross-browser testing is still important in most large organizations, and ideally you want the option to run tests on browsers on Windows and macOS machines.

Whatever you might hear on LinkedIn or X, a large online retailer that spends tons of resources to optimize every detail doesn't want to miss out on purchases because the checkout flow is broken in Firefox or Safari. And no, not everyone is using Chrome.

The less obvious aspect is that Chrome on Windows is different from Chrome on Mac or Chrome on Linux, even if they look and work in the same way. I've seen plenty of situations where a bug was present on Chrome on Windows, but not on Chrome on Linux. It's somehow similar to games: a game might have a bug on PlayStation 5, but not in the PC version.

If a tool doesn't mention the operating system, there is a possibility that they're using headless browsers on Linux containers, which is cheaper for them, but not ideal for the user. If someone says "A customer said they can't finish the purchase flow, they're on Safari on macOS", you don't want your answer to be "I don't know, our tests are running on headless Chrome on Linux. Tell them to try on Chrome."

7. Maintenance and debugging

Most of the time and resources in test automation are consumed by maintaining and debugging tests, not creating them, and this is a fantastic use case for AI.

So, if someone brags that they just created 500 tests in 5 minutes, you can assume they don't have much experience in test automation. More tests means a lot more logs and errors to understand.

Self-healing has been around since 2017, way before the GenAI boom. Back then, it was done by storing backup selectors during successful test executions and relying on those backup selectors when something went wrong (if the ID changed, maybe the other attributes stayed the same). Now self-healing is powered by AI, which can analyze the step, the screenshot and the DOM and fix the test for you.

Most tools have some sort of "Analyze Failure with AI" functionality, to help you understand why an error happened. And some even have "AI Summary" buttons for the logs, so you get an "executive summary" without having to read the entire logs.

8. Documentation and customer support

Documentation and support are weaker than the prices of these tools suggest: I found plenty of inconsistencies and outdated information, and real 24/7 human technical support is far from the norm.

You'd expect everyone to have detailed, up-to-date docs nowadays, but it's not always the case. Not having real human technical support saves some money, but it also adds friction to the success journey of a user.

9. Enterprise readiness

Most of the tools did really well on enterprise readiness, with the exception of Katalon.

In general, these tools are more popular in the enterprise space than in the SMB space, so I'd expect enterprise features such as integrations, SSO, role-based access, API access, and security certifications (such as ISO 27001). I think the reason for Katalon's gap is that it was initially a desktop app, and they're still navigating the transition to being a cloud platform.

10. Portability and vendor lock-in

A modern platform should let you take your data wherever you want, and a simple option to export a JSON or a CSV is more than enough.

That doesn't mean they should build a "Migrate to Competitor" feature; it simply means offering the option of exporting your data in a useful format. Some vendors used to provide an export output that was almost "intentionally" obfuscated and difficult to understand, but now AI makes it easy to insert exported data from one tool into another tool. TestMu AI KaneAI and UiPath Test Cloud rated Excellent here, ahead of Endtest.

11. Pricing and value

Pricing is a big differentiator, and hidden pricing leaves a bad impression.

The price tag can really change someone's impression of a tool, and no one likes companies that hide their prices. Users know what cloud infrastructure and tokens typically cost; you can't overcharge them without causing resentment. Having a very limited free plan or a very limited cheap starter plan as a "hook" is also a strategy that leaves a bad impression. My view has always been that we should set prices based on "costs + margins" instead of "how much would they be willing to pay?"

For example, mabl and Functionize are good tools, but their prices are significantly higher than similar competitors, and it's difficult to justify such high prices. For comparison, Endtest's pricing is public.

12. Overall usability

All the tools have decent usability, and I honestly think Endtest has the most intuitive UI.

These tools have been on the market for a number of years, so they've had plenty of time to refine their UX. That means the small things can really make a difference, and that's where you can almost tell when a company is actually using its own tool. In the Endtest Web Recorder, for example, there's a toggle to start with a clean session, and when viewing the steps of a test case, you can also view them as a flowchart or as an AI summary.

On the opposite end, I found TestMu's UI to be a bit confusing and couldn't understand what was happening at some moments. mabl has improved its usability: a few years ago, it used unconventional names for certain items ("journeys" instead of "test cases"), and I'm glad they gave up on that and started using the industry-standard terms.

Individual tool summaries

Each summary follows the same template: best for, strengths, limitations, pricing where the review covers it, and a verdict.

Endtest: best overall, 9/9 scenarios and the fastest execution

Endtest passed all 9 real-world scenarios without a workaround and had the fastest execution speed in the comparison, 1.21 steps/sec.

Best for: Enterprises and SMBs, and any team that needs a reliable AI-powered test automation tool that is also affordable.

Strengths

• Very intuitive UI
• Really comprehensive E2E testing features
• Rated Excellent on every criterion except portability
• The number of integrations: a lot more than I expected

Limitations

• Not enough videos in the docs
• The Endtest MCP doesn't allow me to create tests with my own AI models
• Portability rated Good, behind TestMu AI KaneAI and UiPath Test Cloud

Pricing: Transparent, with unlimited AI.

Verdict: The most complete platform in this comparison and the one with the most intuitive UI, for any team that needs reliable AI-powered test automation at an affordable price.

mabl: enterprise E2E platform with strong API testing

mabl passed 6 of 9 scenarios outright and needed workarounds for 3 more, with the slowest execution speed in the test.

Best for: Enterprises.

Strengths

• Pretty UI
• Great toolkit for E2E testing flows
• The API testing functionality is better than I expected
• Handled the email verification and iframe scenarios well

Limitations

• Lack of transparent pricing
• Execution speed was quite low compared with most of the other tools
• Some of the more advanced scenarios needed workarounds

Pricing: Not transparent, and significantly higher than similar competitors.

Verdict: A good enterprise E2E platform with better API testing than I expected, held back by slow execution and pricing that's difficult to justify. See the Endtest vs mabl comparison for a closer look.

Functionize: strong AI test creation with native SMS testing

Functionize passed 6 of 9 scenarios outright, needed 2 workarounds, and is one of only two tools with native SMS testing.

Best for: Enterprises.

Strengths

• Very strong AI test creation
• Good enterprise functionality
• Native SMS testing, which almost nobody else has: they give you a phone number and let you test the real SMS flow

Limitations

• The pricing is really hard to justify compared with some of the alternatives
• Some browser scenarios that I expected to be easy didn't work that well, including the iframe scenario
• The tests don't feel as transparent and readable as I'd like

Pricing: Significantly higher than similar competitors.

Verdict: Strong AI test creation and rare native SMS support, at a price that's difficult to justify. See Endtest vs Functionize.

Katalon: mature low-code and scripted automation for technical QA teams

Katalon passed 4 of 9 scenarios outright with 3 workarounds, but it was one of the faster tools and rated Excellent for autonomous test generation and for creating tests without AI.

Best for: Technical QA teams that want both low-code and scripted automation.

Strengths

• Lots of ways to create tests without AI
• Good documentation
• Very mature traditional test automation features
• TrueTest is an interesting approach for generating tests automatically
• Execution speed: actually one of the faster tools

Limitations

• Some advanced scenarios need plugins, external services or workarounds
• It didn't do that well with some dynamic element scenarios
• Some parts still feel like they come from a desktop product that is now trying to become a cloud platform, which also shows in enterprise readiness

Verdict: Very mature traditional automation with plenty of non-AI ways to create tests, but the weakest scenario score of the top half and a platform still mid-transition to the cloud. See Endtest vs Katalon.

BrowserStack Low Code Automation: best for teams already on BrowserStack

BrowserStack Low Code Automation passed 5 of 9 scenarios outright with 2 workarounds, and rated Excellent for cross-browser testing, maintenance and debugging, documentation, and enterprise readiness.

Best for: Enterprises, especially teams that already use BrowserStack.

Strengths

• Great cross-browser capabilities
• Very good debugging and maintenance functionality
• Excellent documentation
• Easy access to the rest of the BrowserStack ecosystem, which has expanded well beyond browsers and devices into a full testing platform

Limitations

• The tests aren't always as transparent as I'd like
• Some advanced E2E scenarios still need workarounds, and it failed the iframe and API-to-UI scenarios
• Portability isn't as good as with tools that let you work directly with standard code formats

Verdict: A strong, well-documented choice for teams already inside the BrowserStack ecosystem, with gaps on iframes and API-to-UI flows. See Endtest vs BrowserStack.

Autify Nexus: Playwright-based tool with a visual, AI-assisted layer

Autify Nexus passed 3 of 9 scenarios outright and needed 4 workarounds, but its Playwright import and export is one of the better approaches to avoiding vendor lock-in.

Best for: SMBs and development teams that like Playwright but want something more visual and AI-assisted.

Strengths

• Very intuitive UI
• The Playwright-based approach, and you can still work with actual Playwright code
• The AI test creation experience is pretty good
• Playwright import/export

Limitations

• Quite a few of the more advanced scenarios needed workarounds
• Some E2E features aren't as complete as they are in the more mature platforms
• PDF testing isn't supported at all. You can only see the URL of the PDF, but not inspect or validate its contents

Verdict: An intuitive, Playwright-friendly tool for teams that want to keep their code portable, but not yet a match for the mature platforms on advanced E2E scenarios. See Endtest vs Autify, or the broader Top 7 Playwright Alternatives in 2026 if Playwright itself is on the table.

TestMu AI KaneAI: AI test creation on a large browser and device cloud

TestMu AI KaneAI passed 3 of 9 scenarios outright with 4 workarounds, and rated Excellent for cross-browser testing, portability, and pricing and value.

Best for: Teams that want AI-powered test creation and access to a large browser/device cloud.

Strengths

• Very good AI test creation
• Great browser and device coverage
• Good portability and code export options; less locked into the platform than I expected
• Pricing is pretty competitive

Limitations

• I found the UI confusing in some places
• The autonomous test generation wasn't as autonomous as I expected
• Several complex E2E scenarios either needed workarounds or didn't work, including PDF extraction and API-to-UI

Pricing: Pretty competitive.

Verdict: Competitive pricing, broad device coverage and good code export, but a confusing UI in places and one of the lowest scenario scores.

ACCELQ: codeless enterprise automation with strong governance

ACCELQ passed 5 of 9 scenarios outright with only 1 workaround, and was one of the few tools that handled dynamically generated attributes well.

Best for: Enterprises that want a codeless automation platform with strong governance features.

Strengths

• It handled dynamic elements very well: one of the few tools that didn't blindly use bad dynamic values in selectors
• Strong enterprise features
• Good codeless test creation experience
• Reusable values and reusable groups of steps work well

Limitations

• Several advanced E2E scenarios aren't really supported natively; it failed email verification, iframes and PDF extraction
• Portability isn't as good as with tools that focus more on code export
• Pricing isn't very transparent

Pricing: Not very transparent.

Verdict: A solid codeless enterprise platform with the best locator discipline outside Endtest and Testim, limited by the advanced scenarios it doesn't support natively.

Tricentis Testim: mature test creation and debugging, including Salesforce flows

Tricentis Testim passed 5 of 9 scenarios outright with 2 workarounds; its maintenance and debugging are excellent, but it failed the iframe and multiple-tab scenarios.

Best for: Teams whose flows don't involve multiple tabs or iframes, and teams that need to automate testing for Salesforce flows.

Strengths

• Very good traditional test creation experience
• Excellent maintenance and debugging features
• Great documentation
• Custom JavaScript is available for some situations
• Execution speed: one of the older and more mature tools, but still one of the fastest in the test

Limitations

• A few years ago, I considered Testim one of the top tools in this space, but I feel like it has fallen behind since being acquired by Tricentis in 2022
• The AI test creation isn't as advanced as some of the newer AI-first tools
• Autonomous test generation is still pretty limited
• I couldn't get iframe or multiple-tab scenarios to work, even with a Custom Step workaround
• SMS and PDF scenarios needed workarounds
• Portability could be better

Verdict: Still a very good traditional tool with excellent debugging, but it has fallen behind the AI-first tools and can't handle iframes or multiple tabs. See Endtest vs Testim.

UiPath Test Cloud: enterprise testing inside the UiPath ecosystem

UiPath Test Cloud passed 5 of 9 scenarios outright with 3 workarounds, and has gone much further into autonomous testing than I expected.

Best for: Large enterprises, especially companies that already use UiPath.

Strengths

• Very strong enterprise functionality
• Good maintenance and debugging features
• Supports both low-code and coded automation
• Integrates really well with the rest of the UiPath ecosystem
• Autonomous Exploration

Limitations

• Some browser-specific scenarios needed workarounds, and it failed the iframe scenario
• The whole platform can feel more complicated than a dedicated web testing tool
• Pricing and packaging aren't very simple
• Some things feel designed more around the wider UiPath automation ecosystem than web testing specifically

Pricing: Pricing and packaging aren't very simple.

Verdict: A strong enterprise option for companies already on UiPath, with excellent portability and real autonomous exploration, but more platform than a dedicated web testing tool needs.

Frequently asked questions

What are the best AI-powered test automation tools in 2026?

Based on my hands-on tests, Endtest was the best overall: it was the only tool to pass all 9 real-world scenarios, and it had the fastest execution at 1.21 steps/sec. mabl and Functionize came next with 6 of 9 scenarios passed outright. The other tools I tested were Katalon, BrowserStack Low Code Automation, Autify Nexus, TestMu AI KaneAI, ACCELQ, Tricentis Testim and UiPath Test Cloud.

Which AI test automation tool handles email verification, SMS or PDFs?

Endtest handled all three natively. For email verification, Endtest, mabl and Testim passed without a workaround. Only Endtest and Functionize can receive a real SMS message without an external provider. For PDF extraction, Endtest, mabl, BrowserStack Low Code Automation and UiPath Test Cloud passed, while Autify Nexus doesn't support PDF testing at all.

Which tools handle iframes and multiple tabs best?

Endtest and mabl were the only tools that handled the iframe scenario without a workaround; 5 of the 10 tools failed it. Multiple tabs were easier: most tools passed, mabl and Autify Nexus needed workarounds, and Tricentis Testim failed even with a Custom Step workaround.

How were these tools tested and scored?

Every tool ran the same 9 functional scenarios on the same websites, with the same prompts for AI-generated tests whenever possible. Each scenario was marked as passed, passed with a workaround (custom code, extra configuration or an external service) or failed, and I tried every scenario myself instead of trusting the vendor's documentation. Execution speed is the average number of executed steps per second in cloud executions, and subjective criteria use an Excellent, Good, Average or Poor rating.

Are AI-powered test automation tools suitable for non-developers?

Yes, as long as the tool stores tests as human-readable steps rather than generated code. Endtest, Katalon and UiPath Test Cloud rated Excellent for creating tests without AI, ACCELQ has a good codeless test creation experience, and BrowserStack's product is built as low-code automation. Using no-code tools to generate code tends to turn into a messy process, so check what the output looks like.

Which AI test automation tool has the fastest execution?

Endtest was the fastest at 1.21 steps/sec, followed by Katalon (1.07), Tricentis Testim (1.03) and Autify Nexus (1.02). mabl was the slowest at 0.38 steps/sec, and Functionize and UiPath Test Cloud were also under 0.7. Around 1 step per second is a reasonable benchmark for cloud execution.

Can these tools generate tests autonomously?

Some can. Endtest and Katalon rated Excellent for autonomous test generation, where you give the tool a URL and some directions and it explores the application and produces executable tests. The Endtest Bot is the best example in this comparison, working like a test automation expert that works independently, while Autify Nexus, TestMu AI KaneAI and Tricentis Testim rated only Average.

What should I look for when choosing an AI test automation tool?

Look for tests stored as readable steps with clear selectors (no black box), cloud execution around 1 step per second, real browsers on Windows and macOS instead of headless Chrome on Linux, and AI-powered self-healing and failure analysis. Check for enterprise features such as SSO, role-based access, API access and ISO 27001, a simple JSON or CSV export so you aren't locked in, and transparent pricing. Then try your own hardest scenarios, such as email verification, iframes, SMS codes and PDFs, before you commit.

Related articles

• Top 7 Playwright Alternatives in 2026: the same hands-on approach applied to code-first and platform alternatives to Playwright.
• How Endtest compares with other tools: side-by-side pages for mabl, Functionize, Katalon, BrowserStack, Testim, Autify and more.
• Endtest documentation: how the scenarios above are handled in Endtest.