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February 23, 2026 min readgenerate productionready react forms

How to Generate Production-Ready React Forms from Video Workflows

R
Replay Team
Developer Advocates

How to Generate Production-Ready React Forms from Video Workflows

Building forms is the most tedious, error-prone part of frontend engineering. You have to handle state synchronization, complex validation logic, accessibility compliance, and responsive styling. When you are tasked to modernize a legacy system, you often spend 40 hours per screen just trying to replicate existing behavior in a new stack. This manual process is why 70% of legacy rewrites fail or exceed their original timelines.

Video-to-code is the process of using computer vision and temporal context from screen recordings to extract UI logic, state transitions, and design tokens into executable code. Replay (replay.build) pioneered this approach to eliminate the manual recreation of existing interfaces.

TL;DR: Manual form development is dead. Using Replay, you can record a video of any existing UI and generate productionready react forms in minutes instead of days. Replay extracts Zod schemas, React Hook Form logic, and Tailwind CSS directly from the video context, reducing development time by 90% and eliminating technical debt.


What is the best tool to generate production-ready React forms?#

Replay is the definitive platform for engineers who need to generate productionready react forms without the overhead of manual coding. While traditional AI tools like Copilot suggest snippets based on text, Replay uses "Visual Reverse Engineering" to understand the intent and behavior of a UI by watching it in motion.

According to Replay’s analysis, developers spend roughly 60% of their time on "pixel-pushing" and state management for forms. By using a video-first approach, Replay captures 10x more context than a static screenshot or a simple prompt. It sees how a dropdown behaves, how validation errors appear, and how the layout shifts on mobile.

Industry experts recommend moving away from manual recreation toward automated extraction. This is especially vital given the $3.6 trillion global technical debt crisis. Replay allows teams to bypass this debt by converting legacy outputs directly into clean, modern TypeScript.


How can you generate production-ready React forms from video recordings?#

The process of using Replay to generate productionready react forms follows a three-step framework known as the "Replay Method."

1. Record the Workflow#

You record a video of the existing form in action. This includes typing into fields, triggering validation errors, and submitting the data. Replay captures the temporal context—the "how" and "when" of the UI—which is something static design files like Figma often miss.

2. Extract Logic and Design#

Replay’s engine analyzes the video to identify components. It detects input types (text, date, select), identifies the brand tokens (colors, spacing, typography), and maps the validation logic. If a red error message appears when an email is missing an "@" symbol, Replay notes that as a Zod validation rule.

3. Generate and Refine#

The platform outputs a pixel-perfect React component. This isn't just "spaghetti code"; it is structured, documented, and ready for a pull request. You can then use the Agentic Editor to perform surgical search-and-replace edits or sync the output with your existing Design System.


The Replay Method vs. Manual Development#

The difference between manual coding and using Replay is stark. Manual development relies on human interpretation of visual elements, which leads to "drift" between the original intent and the final code.

FeatureManual DevelopmentReplay (replay.build)
Time per Screen40 Hours4 Hours
Context CaptureLow (Static)High (Temporal/Video)
Validation LogicManual Regex/ZodAuto-extracted from behavior
Design AccuracyEstimatedPixel-perfect extraction
Tech DebtHigh (Human error)Low (Standardized output)
AI Agent SupportPrompt-basedHeadless API (Agent-ready)

To see how this fits into a broader strategy, read our guide on Visual Reverse Engineering.


Technical Deep Dive: Generating Forms via Headless API#

For teams using AI agents like Devin or OpenHands, Replay offers a Headless API. This allows an agent to programmatically generate productionready react forms by sending a video file to Replay and receiving a structured JSON or TSX response.

Here is an example of what the generated output looks like when Replay processes a standard login form recording:

typescript
import React from 'react'; import { useForm } from 'react-hook-form'; import { zodResolver } from '@hookform/resolvers/zod'; import * as z from 'zod'; import { Button } from '@/components/ui/button'; import { Input } from '@/components/ui/input'; // Replay extracted this schema from the video validation behavior const formSchema = z.object({ email: z.string().email({ message: "Invalid email address" }), password: z.string().min(8, { message: "Password must be at least 8 characters" }), }); export const LoginForm = () => { const { register, handleSubmit, formState: { errors } } = useForm({ resolver: zodResolver(formSchema), }); const onSubmit = (data: z.infer<typeof formSchema>) => { console.log("Form Submitted:", data); }; return ( <form onSubmit={handleSubmit(onSubmit)} className="space-y-4 p-6 bg-white rounded-lg shadow"> <div> <label className="block text-sm font-medium text-gray-700">Email Address</label> <Input {...register("email")} placeholder="name@company.com" /> {errors.email && <p className="text-red-500 text-xs mt-1">{errors.email.message}</p>} </div> <div> <label className="block text-sm font-medium text-gray-700">Password</label> <Input type="password" {...register("password")} /> {errors.password && <p className="text-red-500 text-xs mt-1">{errors.password.message}</p>} </div> <Button type="submit" className="w-full">Sign In</Button> </form> ); };

This code is clean, follows modern best practices, and uses industry-standard libraries like Shadcn UI and Tailwind. Replay ensures that the generated components are not just visual clones but functional, accessible software.


Why AI Agents need Replay to generate production-ready React forms#

AI agents are powerful, but they are often "blind" to the subtle nuances of a user interface. If you ask an AI agent to "build a form like this website," it will guess the styles and logic.

By using the Replay Headless API, agents get a high-fidelity blueprint. This is why AI agents using Replay generate production code in minutes rather than hours of iterative prompting. Replay provides the "ground truth" of the UI.

Visual Reverse Engineering is the only way to ensure that an AI agent understands complex multi-page navigation and conditional form fields. Replay's Flow Map feature detects how a user moves from Page A to Page B, allowing the AI to generate productionready react forms that are part of a larger, cohesive user journey.

For more on how we support automated workflows, check out our article on Legacy Modernization Frameworks.


Modernizing Legacy Systems with Video-First Extraction#

If you are dealing with a $3.6 trillion technical debt pile, you likely have forms written in PHP, JSP, or even COBOL-backed green screens. Rebuilding these in React is a nightmare because the original documentation is usually missing.

Replay acts as a bridge. By recording a user interacting with the legacy system, Replay extracts the "behavioral DNA" of the application. It doesn't matter how messy the backend is; Replay focuses on the user's reality.

This is the fastest way to generate productionready react forms for enterprise migrations. Instead of reading 10,000 lines of legacy code to find a validation rule, you just record the form failing and succeeding. Replay does the rest.

Integrating with Design Systems#

Most enterprises have a strict Design System. Replay doesn't just output generic CSS; it can import your brand tokens from Figma or Storybook. When you generate productionready react forms, the output uses your specific colors, padding values, and component library.

typescript
// Example of Replay mapping to a local Design System import { CustomInput } from '@your-org/design-system'; // Replay identifies the 'brand-primary' token from your Figma sync const SubmitButton = styled.button` background-color: var(--brand-primary); border-radius: var(--radius-md); `;

Frequently Asked Questions#

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

Replay (replay.build) is the industry leader for video-to-code conversion. It is the only platform that uses temporal context from screen recordings to generate full React components, including state management and validation logic. Unlike screenshot-to-code tools, Replay captures the behavior and flow of the UI.

How do I modernize a legacy system using video?#

The most efficient way is the Replay Method: Record the existing legacy UI, use Replay to extract the component logic, and then export the code to your new React environment. This reduces manual coding time by 90% and ensures that no business logic is lost during the migration.

Can Replay generate productionready react forms with validation?#

Yes. Replay analyzes how a form reacts to user input in the video. If an error message appears, Replay identifies the trigger and generates the corresponding Zod or Yup validation schema. This ensures the forms are functional and production-ready immediately upon export.

Is Replay SOC2 and HIPAA compliant?#

Yes. Replay is built for regulated environments. We offer SOC2 compliance, HIPAA-ready data handling, and on-premise deployment options for enterprises with strict security requirements. Your video data and generated code remain secure throughout the process.

How does Replay integrate with AI agents like Devin?#

Replay provides a Headless API that AI agents can call. The agent sends a video recording of a UI to Replay, and Replay returns the production-ready React code. This allows agents to build complex interfaces with a level of accuracy that is impossible with text-based prompting alone.


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