Change clothes in photos with AI—upload a person and garment to preview new outfits
Stage
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Founded
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Based in
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Pricing model
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Freemium
Pricing
Free trial: 10 days, 5 AI video minutes, no card. Creator: $29/month or $228/year. Studio: $99/month or $780/year. Enterprise: from $299/month. Top-up packs: 15 AI minutes for $19, 40 AI minutes for $49.
Free: 20 credits at signup (enough for 2 Preview generations). Starter $9.99/month (400 credits). Plus $29.99/month (1,200 credits). Pro $59.99/month (2,800 credits). Preview costs 10 credits, Studio costs 20 credits per generation.
Key features
Automatic zoom on clicks
Dead time speed-up without editing
Mistake removal by step redoing
AI voiceover written per step
Word-by-word captions burned into MP4
Auto-generated written step-by-step guide
Step-based editing instead of timeline
Support for 96 recording languages and 58 publication languages
Blur sensitive information with follow-along blur
Branded video templates and customization
Browser-based editor with no software installation required
Mobile support for iOS Safari and Android Chrome
Fabric and garment detail preservation
Full-outfit swaps including jacket, trousers, and accessories
Pose and lighting preservation in generated images
Encrypted uploads and no training data usage
Commercial use rights on paid plans
Generation history saved and editable
What makes it different
One take produces three outputs: video, written guide, and share page
AI handles all editing—no timeline editing required
Records exact clicks for precision zooms and step detection
Private data redacted on your machine before upload
Instant multi-language translation with preserved tone and timing
Dedicated outfit-change engine with editorial-grade fabric rendering, unlike multi-purpose AI image editors
Privacy-first: encrypted processing, zero training data usage, images owned by user
No credit card required to start with 20 free credits
Deliberately not a clothes remover—every generation creates a new outfit, maintaining safety for professional workflows