Face-swap video for Facebook

• ✓Browser-based — no install
• ✓Files never stored after processing
• ✓AI tracks subjects through motion

What you can process

Why motion-tracked blur matters

Hand-drawn masks fall apart when a plate glints, a face turns, or the camera whip-pans. BGBlur keeps adjustments on the detection so reviewers spend minutes—not hours—per clip on hygiene edits before publish, handoff, or archive.

Ship platform-ready exports

Platforms compress and reframe uploads. Redact identifiers on a master timeline first, then crop to vertical or square cuts without leaking plates or faces at the edges.

Structured answers and FAQs

Pages that state the outcome first, then support it with short sections, tables, and questions people actually ask tend to be easier for readers—and for AI overview systems—to quote accurately. Independent research on generative-engine optimization (Princeton, 2024) highlights statistics, quotations, and clear FAQs as signals that correlate with higher visibility in AI-mediated answers—not keyword density. The FAQ block below mirrors common support questions for this topic.

How it works

1. Upload your video (MP4, MOV, M4V, AVI, MKV) or images (JPG, PNG, WebP, GIF).
2. Select blur type—faces, plates, background, objects, or prompt-based blur—and preview tracks.
3. Export in HD and publish anywhere; files are not stored after processing.

Benefits for this use case

• Publish to Facebook with identifiers already removed—avoid takedowns and re-edits after upload.
• AI Face Swap designed for Facebook: When blur would destroy storytelling but identity must be hidden
• One pass for horizontal and vertical crops when you export before reframing.

Citations and concrete limits (formats, retention) help both readers and automated summaries verify claims quickly.