Easy Photo Repair
Restores old photos and creates living videos using AI, with flexible pricing.
Product memo
Individuals use Easy Photo Repair to preserve memories by restoring damaged photographs and transforming them into dynamic living videos. It leverages AI to handle both photo enhancement and digital preservation, offering a defined adoption wedge for those with physical photo collections. This approach targets consumers directly, simplifying a complex restoration process.
- For who
- Individuals seeking to restore old photos
- Solves what
- Restores damaged old photos and creates living videos using AI.
- AI photo restoration
- Living video creation
Operator & company
Operators
1 person

Company
- Founded
Jun 2025
- HQ
Australia
Operating model
- Business model
Hybrid
- Platform
Web app
- Audience
Consumers
- Payments
Stripe
Product channels
Builder strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
Source evidence
Evidence sources
About Easy Photo Repair Expand
Easy Photo Repair specializes in bringing old, damaged photographs back to life and transforming them into engaging living videos. The service targets individuals looking to preserve their family history and cherished memories.
By leveraging AI for photo restoration and video creation, Easy Photo Repair offers a straightforward product for a common consumer need. Its hybrid pricing model, which includes both monthly subscriptions and one-time purchase options, provides flexibility, allowing users to choose the payment structure that well-suited fits their project scope and budget.
In their own words
Restore Old Photos & Create Living Videos
Easy Photo Repair uses AI to bring your memories back to life.
Restore old, damaged photos and create living videos.
Competitive context
5 peers · Same primary niche.
Commercial cues
- Model
- hybrid
- Free tier
- No
- Trial
- No
Pricing strategy
- • One-time purchases reduce friction for users with a single restoration project.
- • Monthly subscriptions capture recurring value from frequent or ongoing users.
