CloneIT
CloneIT is an AI-powered tool that captures any website’s UI, adapts it to a user’s chosen domain like EdTech or FinTech, and instantly generates clean, production-ready frontend code.
Created on 27th April 2025
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CloneIT
CloneIT is an AI-powered tool that captures any website’s UI, adapts it to a user’s chosen domain like EdTech or FinTech, and instantly generates clean, production-ready frontend code.
The problem CloneIT solves
CloneIT is used to capture, adapt, and reuse real website designs for new projects.
What People Can Use CloneIT For:
Capture website designs:
You can take the full design of any website quickly.
Create ready-made code:
CloneIT gives you clean code (React, HTML, CSS) from real websites.
Change designs for your needs:
You can easily turn a normal website design into something for schools, banks, or hospitals.
Build projects faster:
No need to design from scratch — you get a ready design you can edit and use.
Learn frontend development:
CloneIT helps you see and understand how real websites are built.
How CloneIT Makes Tasks Easier and Safer
No need for manual work:
CloneIT captures and cleans everything for you — no copy-paste needed.
Saves a lot of time:
Building designs from scratch takes many hours. CloneIT does it in minutes.
Keeps the code clean:
You get organized code that is easy to read and use.
Safe to use:
CloneIT only captures design, not private backend code, so it’s safe and legal.
Less chance of mistakes:
CloneIT captures all small parts like buttons, links, and forms so you don’t miss anything.
Challenges we ran into
- Handling Raw HTML Data from Terminator
When capturing raw HTML data from Terminator, each image yielded approximately 3,000 lines of code. This included a mix of scripts, styles, and other non-essential elements, making the data noisy and challenging to process.
Solution:
Utilization of LLMs: We employed advanced Large Language Models (LLMs) like Groq and developed custom models to parse and clean the HTML data.
Data Cleaning Techniques: The process involved removing unnecessary tags, scripts, and styles to extract meaningful content.
- Implementing the Preview Button
Introducing a preview button was essential for user experience but posed challenges:
Complexity in Error Correction: Allowing users to preview content meant that any errors in the HTML structure could lead to rendering issues.
Solution:
Enhanced LLM Training: We trained our models to better understand and correct HTML structures, ensuring accurate previews.
Real-time Validation: Implemented real-time validation checks to catch and rectify errors before rendering.
- Developing a Custom Integrated Development Environment (IDE)
Creating a custom IDE tailored to our needs was a significant undertaking:
Challenges: Ensuring compatibility across different platforms, integrating AI capabilities, and providing a seamless user experience.
Solution:
Leveraging Theia Framework: We built our IDE on the Theia framework, which offers flexibility and extensibility.
AI Integration: Incorporated AI features for code suggestions and error detection, enhancing developer productivity.
Tracks Applied (2)
Groq track
Groq
Screenpipe Track
Screenpipe
Technologies used