The use of AI in fashion is changing the way we shop, style, and express ourselves. One of the most exciting innovations in this space is the AI Virtual Try-On App, which enables users to try on clothes virtually. 

No fitting room needed. A great example of this is the Doppl app, which creates hyper-realistic 3D avatars using AI and allows users to virtually try on outfits from their phone. With Doppl, users no longer have to worry about how a dress or outfit will look on them in real life. They can simply scan themselves, try it virtually, and make confident decisions before purchasing. 

As more people prefer online shopping, this technology reduces the hassle of returns and exchanges for both customers and retailers. In this blog, we’ll break down how to create an AI app like Doppl, the estimated cost, and more! So, without any further ado, let’s get started!

What is Doppl: A Virtual Try-On App?

Doppl is a virtual try-on app that generates lifelike digital avatars through the use of AI and 3D modeling. Users can create a personalized avatar, scan their face and body, and virtually test clothing and even digital accessories.

The Doppl app’s realistic graphics and real-time animation, driven by AI, are what make it unique. Through the creation of a try-on experience, consumers may see how clothing or cosmetics would look on them without having to visit a physical store or try them on.

The global virtual try-on market was valued at US$9.17 billion in 2023 and is expected to reach $46.42 billion by 2030, growing at a CAGR of 26.4% from 2024 to 2030.

Many companies and developers are aiming to create a Doppl-like app due to the growing interest in AI personalization and the Doppl AI Google trend. These applications have the power to change fields like gaming, fitness, and fashion. They can potentially close the gap between real and virtual identities.

How to Develop a Doppl-Like AI Virtual Try-On App?

Creating a virtual try-on clothes app like Doppl requires a mix of AI expertise, user-centric design, and smart tech decisions. Here’s a step-by-step breakdown to help you build your virtual clothing try-on app:

1. Research AI Models and Use Cases

Start by studying how AI is used in Doppl and similar apps. Understand common use cases—3D body scanning, facial recognition, and clothing overlay. This helps you define what features your app to try on clothes virtually must include.

2. Decide Your Tech Stack

Choose technologies based on your app’s complexity and platform (iOS/Android). For the frontend, consider Flutter or React Native. For backend, go with Python or Node.js. Use Unity or ARKit/ARCore for rendering clothing try-ons.

3. Integrate AI APIs or Train a Custom Model

Use pre-trained AI APIs for faster development or build a custom model if you need precision. Focus on pose estimation, 3D fitting, and body segmentation—crucial elements for any app to virtually try on clothes.

4. Build the User Interface

Design an intuitive UI with easy onboarding, scanning, and try-on options. Keep the visuals sleek and loading fast. A clean design ensures users stick around and explore your try-on clothes virtually app.

5. Focus on User Experience (UX)

Add features like saved avatars, side-by-side comparisons, and social sharing. Smooth transitions and fast processing are key. Good UX turns casual users into loyal fans of your virtual clothing try-on app.

6. Launch & Market Your App

Beta test with real users, gather feedback, and improve. Use ASO, influencer partnerships, and demo videos to drive downloads. Highlight your app’s unique value in the crowded virtual try-on clothes app market.

Read Also: How Much Does It Cost to Build an AI App?

Core Features of an AI App Like Doppl

Doppl is an AI app that combines virtual try-on, customisation, and e-commerce into one smooth experience. It lets individuals virtually try on garments, see trends from all angles, and get AI-driven fit suggestions. This changes how people shop for clothes online.

The main features of an AI app like Doppl:

• Buying things on the app and making money: The app lets you buy extras like special costumes, avatar accessories, or premium AI filters. Freemium access, subscription tiers, or branded in-app purchases are all ways that developers can make money while also improving the user experience.
• Uploading and processing photos: People may upload selfies or full-body photographs, and the app uses AI to evaluate them and find things like posture, size, and facial features. This makes sure that the avatar or virtual model looks just like the person in real life.
• Virtual Try-On in Real Time: With this AI cloth changer app, customers may see clothes right away via augmented reality or AI-generated overlays. It’s the most important part of any virtual try-on clothes app since it makes buying more fun and intimate, which cuts down on returns.
• A 360-degree view of clothing and the ability to zoom in: Users can turn garments around and see materials or designs from all sides. The zoom-in feature makes everything clearer and more detailed, which is important for a high-end virtual clothes try-on app that wants to mimic the experience of shopping in person.
• Sharing and shopping with friends: Users can share pictures of their avatars or try-ons on social media through the app. Friends can vote or propose styles, which makes buying more fun and perfect for promoting products through influencers and getting users involved.

Read Also: AI In Mobile App Development Industry

• Integration with e-commerce: It works with internet retailers, so people may buy what they sample right away. This functionality makes the journey from finding something to checking out easier, which is great for stores looking to use AI in the fashion industry.
• Suggestions for a personalized fit with AI: The app advises the best sizes and cuts based on your body type and past decisions. It works like a smart stylist, using machine learning to make users happier, which is important for any scalable AI clothes changer software.

Estimated Cost to Build an AI App Like Doppl

Building a virtual try-on clothes app like Doppl involves multiple components, from AI integration to sleek UI design. Here’s a cost breakdown to help you plan your budget:

Tech Stack for Building a Doppl-like App

Building a virtual try-on clothing app like Doppl requires the proper combination of 3D technology, frontend tools, backend frameworks, and AI engines. The key technologies are broken down as follows:

• Front-end programming: Utilize frameworks such as Flutter or React Native to design a user experience that is both aesthetically pleasing and responsive. Cross-platform app development is made easier by these technologies, which make it simpler to run your app on iOS and Android to virtually try on clothing.
• Infrastructure of the Backend: A safe and scalable backend is essential. Real-time data processing, cloud integration, and user authentication can be handled by technologies like Node.js, Django, or Firebase, enabling the try-on garments virtual app capabilities to operate smoothly.
• Frameworks for AI and ML: You can utilize programs like TensorFlow, PyTorch, or OpenCV to create customized body mapping and avatars. These aid in identifying facial features, body measurements, and facial expressions—essential elements of any program that allows users to try on virtual clothes.
• Integration of AR & 3D: Use ARKit (iOS), ARCore (Android), Unity, and Unreal Engine to create realistic representations. With features like virtual mirrors and gesture-based controls, these engines enable your app to virtually put on clothing realistically and engagingly.
• Solutions for Cloud and Storage: Store user avatars, custom assets, and high-resolution 3D models on AWS, Google Cloud, or Azure. These platforms provide a growing virtual try-on clothing app with the speed and scalability it needs.

Conclusion

Doppl is a great example of how AI is transforming online fashion shopping through virtual try-ons and personalized experiences. If you’re planning to build a similar AI-powered app, focus on providing an intuitive user experience, identifying gaps in existing platforms, choosing the right tech stack, and prioritizing sleek design. 

Most importantly, keep it simple and easy to use for your target audience. Want to bring your app idea to life? SoluLab, an AI app development company, can help you build a feature-rich, scalable solution. Recently, we got a chance to render an AI-powered recruitment platform, which did wonders for the client’s business. 

Contact us today to turn your vision into a powerful digital product!

FAQs

1. How long does it take to build an AI-powered app like Doppl?

Depending on features and complexity, development can take 4 to 8 months, including AI model training, app design, testing, and deployment.

2. What data is required for training an AI Virtual Try-On App?

You need large datasets of body types, clothing styles, and fitting behavior to train AI models for accurate virtual try-ons.

3. How does AI improve the customer experience in fashion apps?

AI personalizes product suggestions, provides virtual fittings, and helps reduce returns, enhancing user satisfaction and loyalty in the fashion industry.

4. How can I make my AI-powered app stand out from competitors?

Focus on solving real user problems, like accurate fitting or styling suggestions, while ensuring an intuitive user interface and user journey.

5. Are there ready-made APIs for AI virtual try-ons?

Yes, APIs like Vue.ai, Zyler, and Fits. I offer AI tools in the fashion industry that can be integrated into apps for virtual try-on capabilities.