GoQA is an AI-powered quality assurance platform that generates test cases from acceptance criteria, URLs, or screenshots and audits websites for accessibility, security, and performance issues.

What test frameworks does GoQA support?

GoQA generates tests in Playwright, Cypress, Selenium, and Gherkin BDD format — all open standards with no vendor lock-in.

Is there a free plan?

Yes, the free Starter plan includes 5 AI generations per month, 50 test cases per request, and CSV/Markdown export with no credit card required.

Is my data used for training AI models?

No. By contract with our AI providers, your inputs are never used to train or fine-tune AI models. All data is encrypted at rest with AES-256 and in transit with TLS.

QA Lab AI vs BrowserStack

Most searches for a BrowserStack alternative are really asking one of two things: "is there a cheaper device cloud?" or "do I still need a device cloud if my authoring tool is good?" QA Lab AI is not a device cloud. It is a test authoring and site-audit platform that hands artifacts to runners — and those runners often execute on BrowserStack. This page compares the two honestly, based on publicly documented capabilities at time of writing.

At a glance

Feature	QA Lab AI	BrowserStack
Primary role	Authoring, audits, export	Execution infrastructure
Test creation	AI from text, URL, screenshot, OpenAPI	Bring your own tests
Output	Gherkin .feature, JSON, Excel	Test results, video, logs
Runners	Playwright, Cypress, Selenium, WebdriverIO	Same, plus Appium and others
Live-site audits	WCAG, Lighthouse, OWASP, SEO, broken links	Limited audit surface
Real device cloud	No	Yes, large device matrix

Where they overlap

The overlap is narrower than with pure-play test platforms. Both QA Lab AI and BrowserStack support the same runner ecosystem — Playwright, Cypress, Selenium, WebdriverIO — and both care about cross-browser coverage. Both can be part of a CI pipeline that catches regressions before release.

QA Lab AI's cross-browser checks during a live-site audit overlap with the basic "does this render in Chrome and Firefox" question. BrowserStack covers that question at a much greater scale, with real devices and historical OS versions QA Lab AI does not host.

Where QA Lab AI is different

QA Lab AI is upstream of execution. It answers "what tests should we run, and against what acceptance criteria?" rather than "where do we run them?"

Specifically:

It generates Gherkin in eighteen-plus case types from acceptance criteria, a URL scrape, a screenshot processed with OCR, or an OpenAPI spec.
It runs live-site audits on staging or production: WCAG via axe-core, Lighthouse, OWASP, SEO, broken-link scans, cross-browser smoke, mobile rendering.
It exports .feature, JSON, and Excel artifacts for any of the four supported runners.
On Enterprise, the Test Repository syncs cases to Jira, Zephyr, or Azure DevOps with SAML SSO and SCIM.

BrowserStack does none of these as core functions. That is not a criticism — it is a different product layer. Most teams need both. See /test-cases for the authoring surface and /free-audit for the audit surface.

Where BrowserStack may fit better

BrowserStack is the right tool — and arguably required — in two cases:

Real-device coverage. If you ship to a long tail of Android OEMs, older iOS versions, or specific carrier builds, you need a device cloud. QA Lab AI does not provide one. BrowserStack does.
Manual exploratory cross-browser sessions. BrowserStack lets a human drive a real browser on a real device interactively. QA Lab AI does not host interactive remote sessions.

In both cases, the right answer is usually QA Lab AI for authoring and audits, BrowserStack for execution.

Pricing comparison

QA Lab AI pricing:

Starter: $0 forever, 200 cases per run, 5 AI generations per month
Pro: $39/month, or $31/month billed annually
Enterprise: custom, with SAML SSO, SCIM, 99.95% SLA, Jira, Zephyr, and Azure DevOps sync

BrowserStack pricing varies by product line — Live, Automate, App Live, App Automate — and parallels purchased; see vendor site for current quotes. Full QA Lab AI tier detail is at /pricing.

Migration notes

This is less a migration than an integration. Most teams keep BrowserStack and add QA Lab AI in front of it.

Generate Gherkin in QA Lab AI from your acceptance criteria, URLs, screenshots, or OpenAPI spec.
Export .feature files into your existing Playwright, Cypress, Selenium, or WebdriverIO project.
Point that project's runner at BrowserStack as you already do — the Gherkin does not care where execution happens.
Use QA Lab AI's audits as a pre-execution gate so functional runs on BrowserStack do not waste minutes on already-broken builds.
On Enterprise, sync the Test Repository to Jira or Azure DevOps so test cases and BrowserStack run results live alongside each other.

/services covers integration help if needed; /contact for Enterprise scoping.

FAQ

Is QA Lab AI a true BrowserStack alternative? For authoring and audits, yes. For real-device execution, no — BrowserStack has a device cloud QA Lab AI does not replicate. Most teams use both.

Can QA Lab AI's exported Gherkin run on BrowserStack? Yes. The exported .feature files run on Playwright, Cypress, Selenium, or WebdriverIO, all of which can target BrowserStack as their execution backend.

Do I still need a separate accessibility tool if I use QA Lab AI's WCAG audit? The audit uses axe-core for automated rules. For full WCAG conformance, manual review and assistive-technology testing are still required.

Try it

Run a free site audit at /free-audit or generate your first BDD cases at /test-cases.