Create realistic shared portraits from two photos with AI
Upload a selfie, get five celebrity matches from 350 public figures
Stage
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Founded
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Based in
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Pricing model
Freemium
Free
Pricing
Free trial with first generation. Monthly plans: Silver $9.90/mo (100 credits, up to 50 generations), Golden $14.90/mo (200 credits, up to 100 generations), Diamond $39.90/mo (600 credits, up to 300 generations). Yearly plans available with up to 40% savings. Credit packs for one-time top-ups.
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Key features
Upload two solo portraits and generate a shared realistic couple photo
Pre-built style templates for wedding, date, studio, retro, and seasonal scenes
Custom prompt writing for scene customization
No app installation required, works in web browser
Private uploads not shown in public gallery
Results generated in 1–2 minutes
Watermark-free downloads for subscribers
Plan-based storage for generated photos with download option
Choice of aspect ratio and resolution options
Compares uploaded photo with 350 public figures
Returns five ranked celebrity matches
Face detection and alignment using OpenCV YuNet
Feature vector comparison using cosine similarity
Photos processed in memory, never saved or used for training
Generates shareable downloadable card with match
No account creation required
Supports JPG, PNG, and WebP formats up to 8 MB
Browses 928 licensed reference photos from Wikimedia Commons
Combines multiple reference photos per celebrity into single prototype
What makes it different
Focuses on realistic facial likeness and natural skin texture in shared scenes
Simple three-step process without complex editing skills required
Coherent lighting, posture, and background across both people
Private generation without public gallery exposure
Integrated with family of related tools for weddings and relationships
No photo storage or training reuse of uploaded images
Transparent methodology with published accuracy limitations and test evidence
Based on real feature comparison, not random results or made-up percentages
Licensed celebrity library with attribution and Wikimedia Commons sources