AI character animation and replacement with precise facial expressions and movements
Identify any shoe or bag from a photo: brand, model and colorway
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
Not given
Pricing model
Freemium
Freemium
Pricing
Free: 5 credits for new users (5 seconds at 480p). Paid plans: Lite $9.90/month (600 credits/month), Pro $29.90/month (2000 credits/month), Max $79.90/month (8000 credits/month), Ultra $159.90/month (20000 credits/month).
Free: one identification per day without account, or three per day with free account plus one resale listing. Seller Pass: $4.99 (one-time payment) for 20 listings and 30 days of unlimited identifications.
Key features
Character animation with precise facial expressions and body movements
Character replacement in existing videos
Spatially-aligned skeleton signals for body motion control
Environmental integration with relighting LoRA
Unified framework for animation and replacement tasks
Wan 2.2 Mixture-of-Experts architecture
HD-quality video downloads
Commercial use allowed
Priority processing queue
Video generation time of 1-3 minutes
Identify sneakers, shoes, boots, heels, flats, sandals and loafers from photos
Identify handbags, totes, purses and backpacks from photos
Brand, model and colorway identification with confidence score
Close candidates shown when photo is not conclusive
Shopping, resale and look-alike links
No sign-up required for basic use
Ready-to-post resale listings with free account
Photo metadata removal before upload
What makes it different
Combines motion capture precision with AI flexibility for professional-quality animation
One unified framework handles both animation and replacement tasks
Seamless environmental integration preserving original lighting and color tone
Free to start with 5 credits for new users
State-of-the-art Wan 2.2 technology with Mixture-of-Experts architecture
Won't guess: shows candidates instead when details aren't visible
Does not judge authenticity—only identifies the design
Photos are not stored or used for training
89% shoes and 95% bags correctly named in blind tests