Core Technology
Megaton Mask leverages three specialized AI models, each optimized for different use cases and content types:
1. Flagship Model (Generalist)
The Universal Cutter
- Purpose: Handles any object, subject, or element in any video
- Capabilities: Removes cars, buildings, furniture, text, logos, and complex background elements
- Technology: Advanced segmentation algorithms trained on millions of diverse video frames
- Use Cases: Product photography, content creation, advertising, film production
2. Mask Hero (People Specialist)
The Human-Centric Expert
- Purpose: Specialized for human subjects and portrait video editing
- Capabilities: Precise hair, clothing, and body segmentation with natural edge handling
- Technology: Deep learning models trained specifically on human anatomy and movement patterns
- Use Cases: Portrait retouching, green screen replacement, influencer content, professional headshots
3. Magic Edge (Generative Restoration)
The Edge Perfectionist
- Purpose: Restores and enhances edges for seamless integration
- Capabilities: Generates realistic edge details, handles transparency, and maintains visual continuity
- Technology: Generative AI that reconstructs missing visual information based on context
- Use Cases: Professional compositing, visual effects, seamless object removal, broadcast-quality editing
Key Features
Intelligent Object Detection
- Auto-Detection: AI automatically identifies and suggests objects to remove
- Interactive Refinement: Click and brush tools for precise control
- Multi-Object Support: Remove multiple objects simultaneously
Professional Quality Output
- 4K Resolution Support: Maintains quality across all video resolutions
- Frame-by-Frame Precision: Consistent results across entire video sequences
- Format Compatibility: Supports all major video formats and codecs
Workflow Integration
- API Access: RESTful API for seamless integration with existing workflows
- Batch Processing: Process multiple videos simultaneously
- Real-time Preview: Instant feedback with high-quality preview rendering