Enterprise video AI powered by multimodal intelligence for semantic search, analysis, and understanding
Fix closed eyes in photos using a reference photo
Stage
Established
Not given
Founded
2021
Not given
Based in
US
Not given
Pricing model
Freemium
Freemium
Pricing
Free plan: $0/month with 3 GB storage and 600 minutes of video indexing. Plus plan: $29/month with 50 GB storage. Pro plan: $99/month with 200 GB storage. Custom plans available. Annual billing offers 17% discount.
Free: One shared free generation across all tools with watermarked preview. Paid: 1 purchased Credit ($1.49 single) for clean full-resolution download. High Fidelity 4× downloads use 2 Credits. Credits purchased one-time with no subscription; do not expire.
Key features
Semantic video search across entire libraries using natural language
Automatic content segmentation with scene change detection
Compliance and policy risk identification at scale
Automated highlight generation from video libraries
Video insight analysis and pattern detection
Fast indexing at ~60x real-time speed
API and SDK with multiple language support
Jockey AI agent for video search in Claude and ChatGPT
SOC 2 Type II certification and encrypted data handling
Upload photo and select person with closed eyes
Optional reference photo of same person for guidance
Review before and after results side by side
Generate repair focused on eye area only
One person per operation
Download result as new PNG file
Works in desktop and mobile browsers
30-day photo storage and history
Google account sign-in for purchases
No subscription required
What makes it different
Video-native foundation models trained specifically for video understanding
Processes vision, audio, speech, and on-screen text together in one index
Reasons across full temporal sequences up to two hours, not just frame sampling
Spatiotemporal embeddings make every video moment findable by actual content, not metadata
Uses real reference photos instead of guessing eye appearance