AI Clothes Changer & Try On
Virtual Dress Try & AI Style
- Platform
- iOS + Android
- Timeline
- 9 weeks dual-platform
- Technology
- Swift · Vision
The product at a glance
Multi-modal fashion AI spanning photos and videos—outfit swaps, portrait mode, and video-to-video generation for creators who need social-ready content.
- Client
- Fashion Creator Platform
- Industry
- AI · Fashion · Video
- Services
- Mobile Development, Computer Vision, Video AI
- Duration
- 9 weeks
- Team Size
- 6 specialists
What was broken—and why it mattered
Fashion creators need outfit changes in both photos and videos—but most try-on tools only support static images.
“Deliver unlimited style experimentation across photos and videos with portrait mode, text-to-style, and video-to-video AI in one fashion app.”
- 01
Consistent outfit replacement across video frames without flicker or drift
- 02
Text-to-style prompts that reliably map to visual fashion outcomes
- 03
Balancing creative freedom with approachable defaults for casual users
How we thought before we built
Research, planning, product decisions, and user flow architecture—mapped before a single line of production code.
User & Market Research
Consistent outfit replacement across video frames without flicker or drift
Product Roadmap & Scope
Deliver unlimited style experimentation across photos and videos with portrait mode, text-to-style, and video-to-video AI in one fashion app.
Core Product Decisions
AI Clothe Changer unifies outfit swapping for photos and videos, AI portrait mode, text-to-style prompts, and video-to-video generation for content creators and fashion enthusiasts.
User Flow Architecture
Architected separate but unified flows for still and motion outfit replacement.
UX thinking, not just screens
Every screen was designed around one question: how fast can a user reach their outcome? We mapped flows, tested edge cases, and built a visual system that scales with the product.
Primary User Journey
Architected separate but unified flows for still and motion outfit replacement.
Outfit Swap
Low-friction entry points and progressive disclosure—users reach value without tutorial overload.
Video Try-On
Text-to-style prompts that reliably map to visual fashion outcomes
Text-to-Style
Balancing creative freedom with approachable defaults for casual users
From discovery to launch
Discovery
Consistent outfit replacement across video frames without flicker or drift
Planning
Deliver unlimited style experimentation across photos and videos with portrait mode, text-to-style, and video-to-video AI in one fashion app.
Design
Architected separate but unified flows for still and motion outfit replacement.
Development
Implemented text-to-style, templates, and image/video-to-video generation entry points.
Testing
QA across devices, edge cases, and performance—stress-tested AI pipelines and user flows before release.
Launch
Optimized exports for social-ready fashion content with portrait enhancements.
Built on a production-grade foundation
Every layer chosen for performance, scalability, and the specific demands of this product.
Frontend
- Swift
- iOS
AI
- Vision
- Generative AI
Infrastructure
- AVFoundation
Outcomes that matter
Business impact, user growth, and product metrics—the story founders and investors want to hear.
Style Experimentation
Unlimited outfit changes across photos and videos in one product.
Input Modalities
Text, image, and video-to-video generation unified under one UX.
Video Consistency
Frame-to-frame outfit replacement without flicker or drift.
Creator Workflows
Exports optimized for influencer and fashion content pipelines.
Client testimonial
We partnered with this team for our AI-based application, and the results were beyond expectations. The app performance, UI, and overall experience are top-notch. Highly recommended for anyone looking to build scalable AI products.
Let's build your next product
Book a free consultation. We'll map your idea, timeline, and the fastest path to a product your users—and investors—will believe in.