In production · v1

Test your app
the way a person would.
In English.

No code required— describe what should happen. Testorim spins up Chromium, drives it like a real user, captures everything, and writes up what actually happened — video, trace, accessibility scan, console errors, the lot.

30 free runs / monthNo credit card
app.testorim.com
Live
Chat
Sign in with test@example.com / hunter2 and verify the dashboard loads
Got it — 4 steps. Watching now.
your-app.com/login
Sign in
test@example.com
Continue
Steps
  1. navigate /login
  2. type email
  3. type password
  4. click Continue
  5. assert dashboard
2/5 ✓·3.2s
recording video · trace
What it does

Three things Testorim handles
that you currently can't.

01 · Planning

Plain English in. Real browser steps out.

No DSL, no test framework, no selectors. You write what you'd tell a new hire on day one. Testorim's planner picks the right Playwright primitives, finds elements with cascading strategies, and self-heals when the page changes.

  • Action-aware element resolution (button vs input vs link)
  • AI healing if all standard strategies miss
  • Procedures replay deterministically — no LLM in the loop
On the checkout page, fill the form with the test card and verify the success page loads.
Plan · 4 steps
  1. type card number field
  2. type expiry & CVC
  3. click Pay $49
  4. assert "Thanks for your order" visible
02 · Execution

Real Chromium, real network, real timing.

Not a headless DOM simulator. Tests run in the same engine your users see — with a real cookie jar, real CORS, real navigations. Cross-browser to Firefox + Safari for the bugs Chromium hides.

  • WebM video + Playwright trace per run, replayable in trace.playwright.dev
  • Network capture with response headers on failed + first-of-origin requests
  • Console errors + page exceptions tagged to the step that triggered them
Recording · video.webm00:14 · 1280×720
REC
14.2s
trace.zipopen at trace.playwright.dev
navigate · type · click · assert
a11y · 2 violationsaxe-core
  • moderatecolor-contrast3
  • seriouslabel1
03 · Evidence

The report a bug ticket actually needs.

Every run finishes with an AI summary that quotes specific failures, plus the artifacts to back it up. One click and you have a Jira-ready ticket with reproduction steps, expected vs actual, and links to the video and trace.

  • Auto-generated bug tickets — paste straight into Jira / Linear
  • axe-core a11y violations grouped by impact
  • LCP, FCP, TTFB, DCL captured on every final page
Failedcheckout.spec17m ago

Result

Failed — the checkout button rendered but the POST /api/orders silently 500'd. UI showed the success page, but no order row was created.

Suggestion

The /api/orders handler at backend/src/routes/orders.ts:42 is throwing on a missing Stripe customer id. Add a null check and return 4xx instead of 500.

▶ video·↓ trace·network (47)
Ticket
Checkout: success page renders without an actual order row
## Steps to Reproduce
1. Navigate to /checkout
2. Click Pay $49
...
Copy → Jira
The pitch

The same test, two ways to write it.

Both produce a passing run, a video, and a report. One of them you can write while you're half-asleep.

login.spec.ts24 lines
import { test, expect } from "@playwright/test";

test("user can sign in", async ({ page }) => {
  await page.goto("https://your-app.com/login");

  await page
    .getByRole("textbox", { name: /email/i })
    .fill("test@example.com");

  await page.getByRole("button", { name: /^continue$/i }).click();

  await page
    .getByRole("textbox", { name: /password/i })
    .fill(process.env.PASSWORD!);

  await page.getByRole("button", { name: /^continue$/i }).click();

  await expect(page).toHaveURL(/\/dashboard/);
  await expect(
    page.getByRole("heading", { name: /welcome/i })
  ).toBeVisible();
});
Plus: pick element strategy. Handle 2FA. Wait for navigation. Re-run when selectors drift.
testorim · chat1 line

"Sign in with test@example.com and verify the dashboard loads."

We pick the strategy. We handle 2FA. We re-resolve when selectors drift.
How it works

Three things you do. The third is optional.

  1. I

    You describe what should happen.

    The chat input is the input. Anything between a one-line smoke test and a fifteen-step checkout walkthrough — Testorim's planner figures out the steps. No DSL, no selectors, no "wait for..." gymnastics.

    you

    "Go to /login, sign in with test@example.com, verify the dashboard loads."

  2. II

    Testorim drives a real Chromium.

    Steps stream onto your screen as they execute. Screenshots refresh twice a second. If something fails, the agent stops cleanly — no zombie cursor flailing through three more steps after the page already broke.

  3. III

    Save it as a procedure (or don't).

    Loved the run? One click and it becomes a saved procedure that replays without invoking the LLM — paid plans pay cents per re-run. Hated it? Walk away. Nothing was saved.

Who it is for

If QA is stuck in the release queue, this is for you.

Testorim is not trying to replace test engineers. It is for teams whose first problem is coverage throughput: too many important flows, not enough automation time.

01

QA teams drowning in backlog

Current dragRegression smoke is trapped behind engineering tickets.

Testorim moveTurn repeated release checks into saved procedures.

02

Product teams without SDET bandwidth

Current dragLaunch confidence depends on someone manually clicking the app.

Testorim moveDescribe the path once, then replay it before every launch.

03

Engineering teams that want an exit hatch

Current dragYou want speed now without giving up code ownership later.

Testorim moveUse no-code for discovery, export important flows to Playwright.

T
Acme QA
Live
Ready to test

What should we check?

Describe a user flow. The agent plans and executes it.

Sign in, run checkout, verify the receipt page loads.
Plan · 4 steps

navigate /login

type email field

click Pay $49

assert receipt

app.example.com/checkout
Running
Receipt page visible
Executing
3 / 4 steps
Reports
Passed

Checkout receipt loads after payment.

videotracea11y
Network
Privacy

Your tests are yours. Not training data.

Three concrete commitments, not vague reassurances. Each one is backed by how the system is actually built — and the third has the encryption keys to prove it.

Your data is never used to train any AI model.

Tests, instructions, screenshots, network captures — none of it goes into a training set. Not ours, not the model providers' (we're on enterprise API tiers with training off). What you run today doesn't shape what anyone else sees tomorrow.

Your data isn't sold, shared, or accessed beyond what runs your tests.

Test data lives inside your workspace, scoped to your organization at the database level. We don't sell to third parties, syndicate aggregate data, or grant any human at our company access without a support ticket from you and a clear reason.

Sensitive context is encrypted at rest.

Login storage state, environment cookies, database credentials, and Slack bot tokens are AES-256-GCM encrypted before they touch the database. Even if our database was compromised tomorrow, the keys to your apps wouldn't be.

FAQ

Questions people ask before they switch to no-code QA.

What is no-code QA, exactly?

No-code QA means you define test intent without writing test code. In Testorim, that means plain-English instructions; the system translates them into browser actions, runs them in Chromium, and returns evidence.

Is this just record-and-playback testing?

No. Record-playback usually replays brittle click coordinates or selectors. Testorim resolves targets from labels, roles, placeholders, and text with fallback strategies, so tests survive normal UI drift better.

Can I use this if my team already uses Playwright?

Yes. Teams often use Testorim for fast coverage and then export procedures as standalone Playwright specs when they want code-level ownership in CI.

Does no-code QA still work for complex flows like login and checkout?

Yes. Multi-step auth forms, dynamic pages, and long-running operations are supported. Reports include the exact run evidence so failures are reproducible.

Will this replace my QA engineer?

No. It removes repetitive scripting work so QA and product teams can spend more time on test strategy, risk analysis, and release quality decisions.

What do I get when a run fails?

A report plus artifacts: step log, screenshots, video, Playwright trace, console errors, network events, and accessibility findings when available.

Pricing

Free to try. Honest when you grow.

30 runs a month at $0 is enough to know if this fits. Then a flat monthly tier, plus one-time credit packs for a busy week. Every plan is cancel-anytime.

Free

Try it on personal projects.

$0/mo
  • 30 test runs / month
  • 60 browser minutes / month
  • Chromium only
  • API response assertions
  • Personal workspace only
  • 7 days of history
Start free
Most popular

Pro

For solo builders shipping fast.

$49/mo
  • 500 test runs / month
  • 600 browser minutes / month
  • Mobile viewport testing
  • Flaky detection (Run 3×)
  • Login state reuse
  • Video + Playwright trace
  • Accessibility scan
  • 2 team workspaces · 3 seats
  • 90 days of history
Start Pro

Team

For teams that ship together.

$199/mo
  • 2,500 test runs / month
  • 3,000 browser minutes / month
  • Everything in Pro
  • Cross-browser (Firefox + Safari)
  • DB state verification
  • 4 team workspaces · 10 seats
  • 365 days of history
Start Team

Stop writing Playwright specs. Describe the test instead.

Sign up, paste a URL, describe a flow. First report in under two minutes. No credit card.

Start free