Video Background Removal

Core Payload

{
  "video_url": "https://cdn.example.com/input.mp4",
  "output_format": "webm",
  "bg_type": "transparent",
  "model": "original"
}

Required Fields

Quality Controls

• Prefer original or pro for complex accessories and thin edges.
• Use human for portrait-oriented clips with frontal subjects.
• For transparent output, use WebM in web apps and MOV/PNG in editing pipelines.

Quality Guardrails

• Prefer representative source clips when tuning model defaults.
• Keep input compression moderate to preserve edge details.
• Use explicit output format policy for transparent vs non-transparent workflows.
• Run A/B validation with the same clip set before changing defaults.

Implementation Checklist

1. Define payload schema validation in backend before forwarding requests.
2. Store model/output_format/background settings with each job record.
3. Add internal quality review for difficult scenes (hair, glass, motion blur).
4. Create runbook entries for model-specific failure cases.

Quality Evaluation Framework