Automate browser QA testing without code via AI prompts

Describe test steps in plain English — AI agent runs them in a real browser with a video report. Manual QA, product managers and non-engineers now can automate quality assurance via AI.

100k+

Tests run daily

6× faster

Than manually

Lines of code

You said

Open products page, add any product to cart, apply coupon code SUMMER20 and verify it drops the total by 20%.

PandaQA is running it

shop.com/checkout

$84

$36

$24

Total after coupon

$120$96

$96 is 20% below $120 · passed

Passed · 4.2s

Ran on

Take power of AI faster than others

Manual QA isn't dead.Manual only QA is.

How it works

Type a sentence. Get a test.

Three steps. Written in English. Run in a real browser. No selectors, no scripts.

1Describe

Test that I can sign in with email, go to profile, and my name is John.

Got it. I'll open the login page, use Test user email and Test user password, then verify the profile shows John. Generating 6 steps…

2Review steps

NAVOpen Site URL
FILLEmail with Test user email
FILLPassword with Test user password
CLICKClick "Sign in"
ASSERTURL is /profile
ASSERTName is John

3Watch it run

yourapp.com/profile

John Doe

john@example.com

ASSERT— name "John" found

Step 6 / 6Passed · 4.2s

Capabilities

Three kinds of steps. That's it.

Do something. Check something. Remember something. Describe each in plain language — the panda handles the rest.

Actions

Open any page
Click buttons, links, elements by description
Type text, press Enter / Escape / Tab
Fill a whole form in one step
Select dropdowns, check radios & checkboxes
Switch iframe, popup, new tab

Check

Assertions

Element is visible / hidden / disabled
Text matches exactly or contains
URL is what you expect
Count of items (cart, results, rows)
Number compare: price < 100
AI semantic check: "invoice looks correct"

Remember

Capture

Grab text from any element by intent
Parse numbers with currency & locale
AI extraction for tricky selectors
Label it: "price before coupon"
Reference later: "lower than price before coupon"
Before/after compares without code

Smart waiting

No "sleep 3 seconds". Waits until the element is actually ready.

Self-healing locators

Elements stored as intent — not fragile XPath.

Files & downloads

Verify PDF invoices: "has a Total field", right filename.

Data-driven runs

One test × a table of inputs. Re-run only failed rows.

Reusable components

"Login as role X" — write once, call from every test.

CAPTCHA & Cloudflare

reCAPTCHA, Turnstile, hCaptcha. WAF bypass built in.

Secrets stay secret

Passwords encrypted and masked in video, screenshots, trace.

Suites & schedules

Smoke every commit, regression nightly, critical-path 24/7.

Templates

Steal a scenario that already works.

Pick a template, fill in Site URL and Test user, get a passing suite before coffee is cold. Every template is a real project — fork it, edit it, extend it.

Browse all →

Auth

Sign in with email and password

Open login, submit credentials, land on profile, verify the name. Handles wrong-password edge case too.

6 steps · Desktop + MobileUse →

Auth

Password reset → sign in with new

Request reset link, verify the email, set new password, log in with it. Uses inline email capture — no external mailbox needed.

9 steps · DesktopUse →

Catalog

Product added — shows up in cart

Open a product, add to cart, capture name and price, open the cart, verify both match exactly.

7 steps · Desktop + MobileUse →

Checkout

Checkout with coupon — price drops

Add items, capture pre-coupon total, apply the code, verify new total is lower by exactly the discount. Stripe test cards included.

12 steps · Destructive ✓Use →

Profile

Profile update — name and avatar

Edit profile, upload new avatar, save, reload, verify both changes persisted after a fresh page load.

5 steps · DesktopUse →

Search & filter yields results

Enter a query, apply a filter, check at least one result appears, every card matches, and "no results" is handled for a bad query.

6 steps · Desktop + MobileUse →

Reports & debugging

When a test fails, you see exactly why.

Every run ships a video, a step-by-step trace with DOM snapshots, network and console — plus an AI hypothesis of what broke and one-click next actions.

Video + trace on every run
Scrub through the run. Jump to any step. See what the panda saw.
AI root cause
"Button text changed", "API returned 503", "looks flaky" — with fix actions.
Captured values column
"price before coupon = $120" — inspect every remembered value.
Run diff
Compare two runs side-by-side: step diff, visual diff, timing diff.
Pin important runs
Keep a reference green run (or that weird failure) out of retention forever.

Run #3,412

Checkout with coupon — price drops

Failed

1–7 · Setup, add items, capture pricePass

8 · Apply coupon SUMMER20Pass

9 · ASSERT total < price before couponFail

AI hypothesis

Coupon API returned { applied: false, reason: "expired" }. Total was not reduced — test data likely needs a fresh coupon code.

Any viewport

Desktop. Tablet. Mobile. Same test.

Toggle viewports per test. The panda emulates the right resolution, user-agent, and touch events. You see a separate run per viewport in the report.

Desktop

1440×900

Tablet

820×1180

Mobile

390×844

Focused scope

We do one thing. Really well.

PandaQA is a web UI testing tool. That's it. If you need performance benchmarks, security scans, or accessibility audits — use a tool built for those. We won't bolt them on to feel bigger.

We do

Web UI scenarios
Flow pass / fail
Element & text assertions
Numeric & before/after compares
Semantic AI checks
Desktop / tablet / mobile viewports

We don't

Native mobile apps
Load / performance testing
Security scans
Accessibility audits
Core Web Vitals, SEO
API testing as standalone

Test your site today. In plain English.

Spin up a project, pick a template or describe a scenario to the panda, and watch it run in a real browser. Free while in preview.

Start free Browse templates

Free while in preview·No credit card