---
source_url: "https://pandaqa.ai/?utm_source=openai"
title: PandaQA — AI QA for browser and manual testing
mirrored_at: 2026-08-30T01:02:08.853Z
host: pandaqa.ai
cited_in_42a: true
mirror_canonical: "https://index.42a.ai/pandaqa.ai/index__q__utm_source_openai"
---

> **Original source:** https://pandaqa.ai/?utm_source=openai

## 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.

Describe a test in plain English

Plain English · we turn it into steps

100k+

Tests run daily

6× faster

Than manually

0

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

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

1.  NAVOpen **Site URL**
2.  FILLEmail with **Test user email**
3.  FILLPassword with **Test user password**
4.  CLICKClick "Sign in"
5.  ASSERTURL is /profile
6.  ASSERTName is John

3Watch it run

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.

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 →](#)

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.

Free while in preview·No credit card