UI recreation
Turn an existing page or mockup into an editable frontend starting point.
Independent tool overview
Screenshot to Code at a glance
Screenshot to Code converts screenshots, mockups, Figma designs, text prompts, and short screen recordings into editable frontend code through a hosted app or an MIT-licensed self-hosted project.
Visit the official Screenshot to Code site ↗
- Product type
- Screenshot, design, text, and video-to-frontend generator
- Hosted price
- From $15 per month
- Open source
- Yes, MIT license
- Frontend stacks
- HTML, React, Vue, Bootstrap, and Ionic variants
- Credit use
- 1 credit per generation or edit
- Self-hosting
- React/Vite frontend and FastAPI backend
Overview
What Screenshot to Code is
Screenshot to Code is an AI frontend generator created by Abi Raja. Upload a UI reference, choose a supported stack, and the app produces editable code plus a rendered preview. It is designed for recreating interface structure and styling, not for inferring a complete production application's backend behavior.
The current open-source project supports HTML with Tailwind or CSS, React with Tailwind, Vue with Tailwind, Bootstrap, and Ionic with Tailwind. It can also use screen recordings to approximate interactive flows, and its newer agent workflow can extract assets, render its own output, and inspect the preview.
There are two distinct ways to use it. The hosted product sells monthly generation credits and avoids local setup. The MIT-licensed repository can be self-hosted and customized, but requires technical installation plus at least one supported model-provider key; image tooling and preview features have additional dependencies.
Use cases
Who Screenshot to Code is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Fast design prototypes
Explore a visual concept in working HTML, React, or Vue before a full implementation.
Frontend migration experiments
Use a screenshot as a reference while rebuilding a page in a different supported stack.
Self-hosted customization
Modify the open-source app, prompts, model mix, or workflow for an internal use case.
Interaction prototypes
Use a short screen recording when static images do not capture the intended flow.
Capabilities
Core Screenshot to Code features
Screenshot and mockup input
Accepts visual references and generates frontend structure, styles, and components.
Figma design input
Uses a Figma design as a source for a functional coded approximation.
Multiple frontend stacks
Supports HTML, React, Vue, Bootstrap, and Ionic output options with CSS or Tailwind variants.
Screen-recording mode
Can sample a short interaction recording and build a functional prototype from the observed states.
Iterative edits
Lets users request changes after the first generation, with each hosted edit consuming another credit.
Model variants
The self-hosted project supports current Gemini, OpenAI, and Anthropic coding models.
Asset extraction and editing
Can reuse visual assets and optionally perform image generation, editing, and background removal.
Rendered preview checks
A self-hosted agent can render generated pages in Chromium and inspect its own result when configured.
Process
How the Screenshot to Code workflow works
Step 1
Choose the target stack
Decide whether the final code should be HTML, React, Vue, Bootstrap, or Ionic before generation.
Step 2
Prepare a clean reference
Capture the exact viewport and UI state, or use a short recording that pauses on important interactions.
Step 3
Remove sensitive data
Replace private customer information, credentials, internal metrics, and licensed assets before uploading.
Step 4
Generate a first pass
Create the page, inspect the rendered preview, and compare layout, spacing, type, and responsive behavior.
Step 5
Use focused edits
Request one concrete correction at a time because every hosted edit consumes a credit.
Step 6
Integrate with the real app
Connect components to the design system, routes, state, data, authentication, and accessibility patterns.
Step 7
Run production checks
Review code quality, licenses, security, responsive behavior, performance, tests, and browser support.
Cost
Screenshot to Code pricing and free plan
The hosted app charges one credit for every new creation and every additional edit. Credits reset monthly and do not roll over. The open-source code is free under the MIT license, but self-hosters pay their own model, image-service, and infrastructure costs.
Hobby
$15/month
For light hosted use without configuring model APIs or running the application locally.
- 100 credits per month
- 1 credit per generation or edit
- Chat support
- Unused credits do not roll over
Pro
$40/month
For frequent hosted generations and revisions.
- 500 credits per month
- 1 credit per generation or edit
- Chat support
- About $0.08 per included credit at full monthly use
Annual billing
Advertised at 50% off
A discounted billing option shown on the official pricing page.
- Confirm the current annual total at checkout
- Credits still reset monthly
- Unused credits expire
- All purchases are listed as final
Open-source self-hosting
Free software; usage costs vary
Run and customize the MIT-licensed code with your own infrastructure and provider accounts.
- At least one OpenAI, Anthropic, or Gemini API key
- Replicate is recommended for image tools
- Chromium is needed for screenshot preview
- Model and hosting charges are separate
Pricing checked . Check current pricing at the source ↗
Assessment
Screenshot to Code strengths and limitations
Where it stands out
- Transforms a visual reference into editable code much faster than tracing every style manually
- Supports several common frontend stacks rather than locking output to one framework
- Open-source MIT license enables inspection, customization, and self-hosting
- Hosted option removes local setup and model-key management
- Screen-recording input can communicate interaction states that a single screenshot misses
- Model variants make it possible to compare more than one generated approach
- Preview inspection and asset tooling can improve the initial visual match
What to consider
- A screenshot cannot reveal hidden states, business logic, APIs, data models, authentication, or analytics
- Generated code is a starting point and still needs accessibility, security, testing, performance, and maintainability review
- Every hosted revision consumes another credit, so vague prompting can waste the monthly allowance
- Hosted credits reset monthly and do not roll over
- The official pricing policy says digital-service purchases are final and non-refundable
- Self-hosting requires Python, JavaScript tooling, model keys, and optional Chromium and Replicate setup
- Visual inputs may contain customer data, copyrighted assets, or confidential product information
- Pixel-level resemblance does not guarantee correct responsive behavior or reusable component architecture
Compare
Screenshot to Code alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Design
Vercel v0
Choose Vercel v0 for a hosted prompt-and-image UI generator closely integrated with modern React workflows.
Explore Vercel v0 →Coding
Lovable
Use Lovable when the goal is a fuller web application with product logic, data, and deployment rather than UI recreation alone.
Explore Lovable →Coding
Bolt.new
Consider Bolt for browser-based full-stack app generation and live code execution from broader product prompts.
Explore Bolt.new →Design
Figma AI
Use Figma AI when design collaboration and editable source designs matter more than direct screenshot-to-code output.
Explore Figma AI →Questions
Screenshot to Code FAQs
What does Screenshot to Code generate?
It generates frontend code that approximates a screenshot, mockup, Figma design, text prompt, or short screen recording in a selected supported stack.
Which frameworks does Screenshot to Code support?
The current repository lists HTML with Tailwind, HTML with CSS, React with Tailwind, Vue with Tailwind, Bootstrap, and Ionic with Tailwind.
Is Screenshot to Code free?
The source code is free under the MIT license. The official hosted app is paid, starting at $15 per month, and self-hosting still incurs model and infrastructure costs.
How do hosted credits work?
Each new creation and each edit costs one credit. Hobby includes 100 monthly credits and Pro includes 500; credits reset monthly and do not roll over.
Can it recreate application functionality?
It can approximate visible interactions, especially from a screen recording, but it cannot infer unseen backend logic, data contracts, permissions, or all edge cases.
Can Screenshot to Code be self-hosted?
Yes. The MIT-licensed repository includes a React/Vite frontend and FastAPI backend, with Docker and local setup instructions.
Which AI models can the open-source version use?
The current project supports model variants from Gemini, OpenAI, and Anthropic, with optional Replicate-powered image tools.
Is generated code production-ready?
Treat it as a visual implementation draft. A developer should integrate it with the real application and review accessibility, security, responsiveness, performance, tests, and maintainability.
Bottom line
Our Screenshot to Code verdict
Screenshot to Code is valuable when recreating a visual frontend would otherwise consume hours of repetitive layout work. The hosted plan is simple, while the open-source version offers unusually strong control for technical teams. Its output should not be mistaken for a complete application: budget time for design-system cleanup, real data and state integration, accessibility, responsive checks, and tests. A small representative screen is the best proof before paying for a larger batch.
Visit Screenshot to Code website ↗Similar Coding Tools
View all Coding AI tools →
.png)
AI training for the future of work.
Get access to all our AI courses, hundreds of real-world AI use cases, live expert-led workshops, an exclusive network of AI early adopters, and more.
AI Courses
Get unlimited access to all of our current & upcoming industry-specific AI courses for the duration of your subscription.
Daily Guides
To keep up with the rapid pace of AI, our team publishes AI implementation guides daily. Our library contains 300+ practical use cases to automate real-world work.
Workshops
Join weekly, live, interactive sessions with industry leaders who are at the forefront of AI for hands-on implementation guidance and exclusive insights.
Community
Network with an exclusive community of AI-first professionals who are working smarter with AI. Learn how early adopters are using AI in their work and businesses.