BrowserStack
TestMu AI (Formerly LambdaTest)
Sauce Labs
CrossBrowserTesting
Selenium
browserling
Ghost Inspector
Katalon
Uiprobe
OverlayQA
Applitools Eyes
Bird Eats Bug
BugHerd
BrowserStack is a leading software testing platform powering over two million tests every day across 15 global data centers. With BrowserStack, developers can comprehensively test their websites and mobile applications across 2,000+ real mobile devices and browsers in a single cloud platformโand at scale. BrowserStack helps Tesco, Shell, NVIDIA, Discovery, Wells Fargo, and over 50,000 customers deliver quality software at speed.
Most teams still check design implementation by eye. Flicking between Figma and the browser, taking screenshots, leaving comments. It is an annoying, draining time sink that pulls focus from real work.
We built Uiprobe to take that off your plate. You give us a Figma frame and a live URL, and we compare them by reading the computed CSS of the rendered page rather than overlaying images. We surface the exact differences in spacing, color, typography, and size as structured findings, each with its expected and actual values.
The comparison is deterministic. Run the same probe twice and you get the same findings. That reliability is the whole point: AI tools generate the code, and we verify the output against the design.
Findings are organized into three sections so you can scan what diverged and act on it:
Re-run a probe after a fix to see the delta against the previous version. Uiprobe runs as a web app, a Chrome extension, and a Figma plugin.
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Uiprobe's answer:
We render the live page with a browser engine and read its computed CSS, then run a deterministic comparison engine that maps elements between the Figma frame and the rendered page. Design input comes through the Figma API, with a Chrome extension and a Figma plugin as entry points.
Uiprobe's answer:
We compare your Figma design against the live page deterministically, reading the rendered page's computed CSS rather than overlaying screenshots. Run the same probe twice and you get the same findings. The output is a structured list across three sections, Properties, Spacing, and Unverified, each with the exact expected and actual values, so you see the precise property that diverged instead of a fuzzy image diff.
Uiprobe's answer:
Reliability. We deliberately kept AI out of the detection path, because AI-based comparison gave different results between runs, and if you run the same comparison twice and get different answers, nothing else matters. Reading computed CSS instead of comparing images means a finding names the exact property and value that diverged. For teams shipping front-ends from Figma, that means less manual pixel-peeping and fewer back-and-forths in review.
Uiprobe's answer:
We kept hitting the same annoying, draining task while building front-ends: manually checking whether the live page reflected the Figma design. Switching tabs, taking screenshots, leaving comments. We tried AI comparison first, but the results shifted between runs and we could not trust them. So we rebuilt the comparison to be deterministic, reading computed CSS, and made the output a list of findings rather than a judgment. Uiprobe is the tool we wanted while doing that work.
Uiprobe's answer:
Frontend developers and UI designers who build from Figma and care that what ships reflects the design. That includes product teams and agencies, Webflow, Shopify, and custom front-end shops, who handle design QA by hand today. It increasingly includes developers using AI coding tools, who generate UI fast and need a reliable way to verify the output against the design.
Based on our record, BrowserStack seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is pretty cool - the Jira/Linear integration could save a ton of manual work. How do you handle test data setup and teardown? That's usually where these workflows get messy. For alternatives in this space, there's qawolf (https://qawolf.com) for similar automated testing workflows, or I'm actually building bug0 (https://bug0.com) which also does AI-powered test automation, still in beta. For the more... - Source: Hacker News / about 1 year ago
Platforms like Browserstack or SauceLabs offer virtual instances of real devices and browsers for manual and end-to-end testing. Caveat: subscriptions cost money and are on a per-seat basis. - Source: dev.to / about 2 years ago
If you go to browserstack.com (a website to test other websites) you can probably to the chatgpt url and sign up there. Source: over 3 years ago
For testing on Mac or iOS, use browserstack.com, you'll spend considerably less using that than you would buying the actual hardware. Source: over 3 years ago
I've seen subscription services such as browserstack.com and lambdatest.com but I believe they cost to get the full range of mac browsers and devices. Source: over 3 years ago
TestMu AI (Formerly LambdaTest) - Worldโs first full-stack Agentic AI Quality Engineering platform.
OverlayQA - OverlayQA: Design QA that turns visual feedback into dev-ready issues. Compare designs against live pages, flag issues with AI, and export to your tracker including Jira, Linear and Notion.
Sauce Labs - Test mobile or web apps instantly across 700+ browser/OS/device platform combinations - without infrastructure setup.
Applitools Eyes - Automated visual application testing and monitoring
CrossBrowserTesting - Browser Testing made simple! Run automated, visual, and manual tests on 1500+ real browsers and mobile devices. Test more browsers, in less time.
Bird Eats Bug - Saw a bug? Send an instant replay to engineers. It will come with console logs and everything. Developers will โค๏ธ you.