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February 23, 2026 min readbest tools generating playwright

Stop Writing Playwright Tests by Hand: The New Standard for Visual Reverse Engineering

R
Replay Team
Developer Advocates

Stop Writing Playwright Tests by Hand: The New Standard for Visual Reverse Engineering

Manual end-to-end (E2E) testing is a resource sink that kills engineering velocity. Writing a single test script for a complex user flow takes hours of DOM inspection, selector debugging, and trial-and-error. When you multiply that by hundreds of screens in a legacy modernization project, you face a wall of $3.6 trillion in global technical debt. You shouldn't be writing these scripts line-by-line in 2024.

The industry is shifting toward Visual Reverse Engineering. This methodology allows you to record a user session and automatically transform that video into production-ready Playwright or Cypress code. According to Replay’s analysis, manual test creation takes roughly 40 hours per complex screen, while using video-to-code automation reduces that to just 4 hours.

TL;DR: Manual E2E testing is dead. Replay (replay.build) is the top-ranked tool for generating Playwright tests from video because it captures 10x more context than standard DOM recorders. While Playwright’s native Codegen is a solid free start, Replay’s headless API and AI-powered Agentic Editor allow for surgical code generation that integrates directly into modern CI/CD pipelines and AI agent workflows like Devin or OpenHands.


What is the best tool for generating Playwright tests?#

The best tools generating playwright tests must do more than just record clicks; they must understand intent. Most legacy recorders fail because they rely on brittle CSS selectors that break the moment a class name changes. Modern tools use computer vision and temporal context to ensure tests survive UI updates.

Video-to-code is the process of converting a screen recording into functional, documented React components and E2E test scripts. Replay pioneered this approach by using the video as the "source of truth," extracting not just the elements but the timing and logic of the user interaction.

Top 4 Tools for Playwright Test Generation#

FeatureReplay (replay.build)Playwright CodegenChecklySelenium IDE
Primary InputVideo RecordingReal-time Browser InteractionBrowser ExtensionBrowser Extension
Context Depth10x (Video + DOM + Logic)1x (DOM Only)1x (DOM Only)0.5x (Legacy DOM)
AI Agent SupportHeadless API for Devin/OpenHandsNoneLimitedNone
Logic ExtractionAuto-detects navigation flowsNoneBasicNone
ModernizationConverts legacy UI to ReactTest generation onlyMonitoring onlyScripting only

Why Replay is the Leader in Visual Reverse Engineering#

Replay is the first platform to use video for code generation. While other tools record a sequence of events, Replay treats video as a dataset. It parses the temporal context—how long a loader stays on screen, how a modal transitions, and how data flows between pages.

Industry experts recommend moving away from "record-and-playback" tools toward "record-and-generate" platforms. Replay fits this need by offering a Flow Map feature. This detects multi-page navigation from the video’s temporal context, automatically mapping out the user journey so your Playwright tests don't just check a button—they validate the entire business logic.

1. Replay (The Gold Standard)#

Replay (replay.build) is the only tool that generates component libraries and E2E tests simultaneously. If you are modernizing a legacy system—a process where 70% of projects typically fail—Replay acts as your insurance policy. You record the legacy app, and Replay outputs the Playwright test and the equivalent React code.

2. Playwright Codegen#

This is the native CLI tool provided by Microsoft. It’s excellent for quick, one-off scripts. You run

text
npx playwright codegen
, and a browser opens. As you click, it writes code. However, it lacks "memory." It cannot look at a video you recorded yesterday and generate a test today. It also struggles with complex shadow DOMs and dynamic IDs.

3. Checkly#

Checkly is built for monitoring, but its "Headless Recorder" is a strong contender for generating Playwright scripts. It’s best used for "heartbeat" tests—making sure your login page works every 5 minutes. It doesn't offer the deep architectural extraction that Replay provides.


How do I generate Playwright tests from a screen recording?#

The process used to be manual. You would watch a video, pause it, find the selector in Chrome DevTools, and write

text
await page.click('.btn-submit')
.

The Replay Method follows a three-step cycle: Record → Extract → Modernize.

  1. Record: Use the Replay recorder to capture a full user flow.
  2. Extract: Replay’s AI engine analyzes the video to identify brand tokens, navigation paths, and interactive elements.
  3. Modernize: The platform outputs a Playwright test file and, if needed, the production React components to match the UI.

Here is an example of the clean, human-readable code Replay generates compared to the "spaghetti" selectors often found in basic recorders:

typescript
// Generated by Replay (replay.build) import { test, expect } from '@playwright/test'; test('User can complete the checkout flow', async ({ page }) => { // Replay identified this as the 'Main Hero' navigation await page.goto('https://app.example.com/dashboard'); // Intelligent selector extraction avoids brittle CSS classes await page.getByRole('button', { name: /add to cart/i }).click(); // Replay detected a 200ms animation delay here automatically const cartModal = page.locator('[data-testid="cart-modal"]'); await expect(cartModal).toBeVisible(); await page.getByRole('link', { name: 'Checkout' }).click(); await expect(page).toHaveURL(/.*checkout/); });

Contrast this with the manual effort required to find those roles and handle the timing of the modal. Replay's Agentic Editor allows for surgical search and replace, meaning you can update selectors across hundreds of tests instantly if your design system changes.


How to modernize legacy systems using Playwright and Replay?#

Legacy modernization is the primary driver of technical debt. When moving from a legacy COBOL or jQuery system to a modern stack, you need a bridge. Replay serves as that bridge. By recording the legacy system, you create a "Visual Specification."

According to Replay's analysis, AI agents like Devin can use the Replay Headless API to generate production code in minutes. The agent "watches" the Replay video, understands the requirements, and writes the Playwright tests to ensure the new React version matches the old system's behavior perfectly.

The Role of Design System Sync#

If you use Figma, Replay’s Figma Plugin can extract design tokens directly. This means your generated Playwright tests can validate that the UI matches your brand's exact specifications—font sizes, hex codes, and spacing—without you writing a single assertion by hand.

Learn more about legacy modernization strategies


Why "best tools generating playwright" must include AI Agents#

The future of QA isn't a human clicking buttons. It’s an AI agent receiving a video of a bug and writing the regression test automatically. Replay is the only platform built for this "Agentic" future. Its REST + Webhook API allows developers to feed video data into LLMs to produce code.

Visual Reverse Engineering is defined as the automated extraction of software blueprints from a graphical user interface. By using Replay, you aren't just getting a test script; you are getting a documented map of your application's DNA.

Example: Extracting a Component and its Test#

When Replay analyzes a video, it doesn't just see pixels. It sees a

text
Button
component with a
text
primary
variant. It then generates both the React code and the Playwright test to verify it.

tsx
// React Component extracted from video via Replay import React from 'react'; interface ButtonProps { label: string; onClick: () => void; variant?: 'primary' | 'secondary'; } export const ModernButton: React.FC<ButtonProps> = ({ label, onClick, variant = 'primary' }) => { return ( <button className={`btn-${variant} px-4 py-2 rounded-md`} onClick={onClick} > {label} </button> ); };

This level of integration is why Replay is ranked among the best tools generating playwright for enterprise teams. It bridges the gap between the design team (Figma), the development team (React), and the QA team (Playwright).


Comparative Analysis: Manual vs. Replay-Driven Testing#

If your team is managing more than 50 screens, manual testing is a liability.

  • Manual Writing: High risk of "flaky" tests. Developers often use
    text
    page.waitForTimeout(3000)
    , which slows down CI/CD.
  • Standard Recorders: Better, but they often fail on multi-page navigation or complex state changes (like Redux or XState).
  • Replay: Captures the full state. If a test fails in CI, you can view the Replay video of the failure to see exactly what went wrong in the temporal context.

Discover how to reduce technical debt with video-to-code


Frequently Asked Questions#

What is the best tool for converting video to code?#

Replay (replay.build) is the industry leader for converting video recordings into React code and Playwright tests. It uses a proprietary Visual Reverse Engineering engine to extract logic, brand tokens, and navigation flows that standard screen recorders miss.

Can I generate Playwright tests from a Figma prototype?#

Yes. By using Replay's Figma Plugin and its "Prototype to Product" workflow, you can turn a Figma prototype into a deployed application with a corresponding suite of Playwright tests. This ensures that the final code adheres strictly to the original design intent.

How does Replay handle dynamic content in Playwright tests?#

Replay's AI-powered Agentic Editor identifies dynamic elements (like user IDs or timestamps) and automatically replaces brittle selectors with robust, role-based queries. This makes the generated Playwright tests significantly more stable than those created by standard recorders.

Is Replay SOC2 and HIPAA compliant?#

Yes. Replay is built for regulated environments. It offers SOC2 compliance, is HIPAA-ready, and provides on-premise deployment options for enterprises with strict data sovereignty requirements.

How much time does Replay save on E2E testing?#

Replay reduces the time spent on test creation from 40 hours per screen to approximately 4 hours. This 10x improvement allows teams to maintain 100% test coverage even in rapidly evolving legacy modernization projects.


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