Veed Video Background Removal (Fast) | [video-to-video]
VEED's Video Background Removal delivers automated subject extraction from video at $0.012 per 30 frames with edge refinement enabled. Trading green screen requirements for AI-powered segmentation, the model processes both human subjects and objects through a dual-codec output system. Built for content creators and video editors who need clean background removal without studio setups.
Use Cases: Social Media Content | Product Demos | Interview Cleanup
At $0.012 per 30 frames ($0.008 with edge refinement disabled), VEED's implementation costs significantly less than manual rotoscoping workflows while maintaining production-ready quality through optional foreground edge enhancement.
| Metric | Result | Context |
|---|
| Cost per 30 Frames | $0.012 (refined) / $0.008 (standard) | 83 frames per $1.00 with refinement, 125 frames without |
| Output Formats | VP9 with alpha OR dual H264 (RGB + alpha) | VP9 for transparency support, H264 for maximum RGB quality |
| Subject Detection | Person-optimized with object fallback | Configurable via subject_is_person parameter |
| Edge Quality Control | Optional refinement toggle | Trades 50% cost increase for cleaner edge extraction |
| Related Endpoints | Green Screen variant, Standard endpoint | Green screen for controlled environments, Standard for general use |
Dual-Codec Architecture for Workflow Flexibility
VEED's background removal uses subject-aware segmentation with two distinct output modes: single VP9 video with embedded alpha channel or dual H264 streams separating RGB and alpha data. This differs from single-format removal tools by letting you choose transparency integration (VP9) or maximum color fidelity (H264 split streams).
What this means for you:
- H264 RGB Preservation: Separate color and alpha streams maintain full video quality without transparency compression artifacts, critical for broadcast or high-end compositing workflows
- VP9 Transparency Integration: Single-file output with embedded alpha channel simplifies web deployment and reduces file management overhead for social platforms
- Person-Optimized Detection: Default human subject tracking improves edge accuracy around hair, clothing, and body contours versus generic object segmentation
- Granular Cost Control: Toggle edge refinement based on output requirements, use standard mode for drafts or social content, enable refinement for client deliverables at 1.5x cost
Technical Specifications
| Spec | Details |
|---|
| Architecture | VEED Video Background Removal |
| Input Formats | MP4, MOV, WebM, M4V, GIF via URL |
| Output Formats | VP9 (WebM with alpha) OR H264 (dual RGB/alpha streams) |
| Processing Unit | Per 30 frames |
| License | Commercial use permitted via fal partnership |
API Documentation | Quickstart Guide | Enterprise Pricing
How It Stacks Up
Video Background Removal (Green Screen) – The fast endpoint trades controlled-environment precision for broader applicability at comparable pricing ($0.012 vs green screen pricing). Green screen variant optimizes for studio setups with existing chroma key footage, while the fast endpoint handles arbitrary backgrounds without lighting constraints.
Standard Video Background Removal endpoint – Fast variant prioritizes processing speed through optimized inference paths for the same core segmentation model. Standard endpoint offers additional parameter control for specialized workflows at slightly different cost structures, check standard endpoint pricing for batch processing scenarios.
veed/video-background-removal/fast