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 Testim

Teams searching for a Testim alternative usually want one of two things: BDD-style test cases they can hand to engineers, or a way to generate tests without recording flows in a browser first. This page compares QA Lab AI and Testim on the dimensions that matter for that decision, based on publicly documented capabilities at time of writing.

At a glance

Feature	QA Lab AI	Testim
Primary input	Acceptance criteria, URL scrape, screenshot OCR, OpenAPI	In-browser recorder, AI locators
Output	Gherkin .feature, JSON, Excel	Testim test scripts, code export
Runners supported	Playwright, Cypress, Selenium, WebdriverIO	Testim cloud runner, Selenium export
Live-site audits	WCAG (axe-core), Lighthouse, OWASP, SEO, broken links	Not a documented core feature
Free tier	$0 forever, 200 cases/run, 5 AI gens/mo	See vendor site
Enterprise SSO	SAML SSO, SCIM, 99.95% SLA	See vendor site

Where they overlap

Both products use AI to reduce the manual cost of producing UI tests. Both target web applications, support cross-browser scenarios, and aim to keep tests stable as the application changes. Each can plug into a CI pipeline and produce artifacts an engineering team can review. If your goal is "fewer hand-written selectors," either tool moves you in that direction.

Both also recognize that human review still matters. QA Lab AI gives you Gherkin to edit before it ever runs; Testim surfaces an editable step list after a recording session.

Where QA Lab AI is different

QA Lab AI is authoring-first, not recorder-first. You can generate test cases from sources that do not require a working build:

An acceptance criterion pasted into the editor
A URL scrape of a staging environment
A screenshot processed with OCR
An OpenAPI spec for backend contracts

The output is Gherkin in eighteen-plus case types — happy path, negative, boundary, security, accessibility, performance, and others — exported as .feature, JSON, or Excel. From there, the cases are runner-agnostic: the same Gherkin can drive Playwright, Cypress, Selenium, or WebdriverIO. You are not locked into a proprietary runner.

QA Lab AI also bundles live-site audits. A single run can produce WCAG findings via axe-core, Lighthouse performance scores, OWASP checks, SEO issues, broken links, cross-browser checks, and mobile rendering snapshots. That makes it useful as a pre-release gate, not only a test-case generator. See /free-audit for the audit surface and /test-cases for the generation flow.

Where Testim may fit better

Testim is a stronger fit in two situations:

Recorder-driven QA teams. If your testers are non-engineers who already work by clicking through the app and want a managed cloud runner with AI-stabilized locators, Testim's recorder-first workflow is closer to that habit than authoring Gherkin from a spec.
Single-vendor execution. If you want one platform that hosts the test, runs it, and reports on it without integrating a separate runner, Testim consolidates that. QA Lab AI assumes you bring your own runner — Playwright, Cypress, Selenium, or WebdriverIO — on your own infra.

If either of those describes your team, Testim may be the better tool regardless of price.

Pricing comparison

QA Lab AI publishes its pricing:

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

Testim pricing is not publicly listed in a comparable form; see vendor site for current quotes. Full QA Lab AI tier breakdown is on /pricing.

Migration notes

If you are moving from Testim to QA Lab AI:

Export your existing Testim tests or step lists as a reference. You will not import them directly — the formats differ — but they are useful as acceptance criteria input.
Paste those criteria, or point QA Lab AI at the same staging URL, and generate Gherkin.
Pick a runner. Most teams pick Playwright for new work; Selenium and WebdriverIO are supported for parity with existing CI.
On Enterprise, connect Jira, Zephyr, or Azure DevOps so cases sync back to your existing test management system.

For migration help on larger estates, /services and /contact cover the assisted path.

FAQ

Is QA Lab AI a drop-in Testim alternative? Not exactly. Testim runs tests on its own cloud; QA Lab AI authors and exports tests for runners you already use. Many teams keep their existing runner and replace only the authoring layer.

Can I use QA Lab AI without writing Gherkin by hand? Yes. The AI generates Gherkin from acceptance criteria, a URL, a screenshot, or an OpenAPI spec. You review and edit the output before exporting.

Do live-site audits replace a separate accessibility tool? The WCAG audit uses axe-core, the same engine many dedicated accessibility tools use. It covers the automatable rule set; manual review is still required for full WCAG conformance.

Try it

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