videobgremover-human: Fastest Background Removal for People

videobgremover-human uses a specialized matting algorithm optimized specifically for human subjects:

• Faster neural network architecture designed for portrait detection
• Optimized for face and body segmentation
• Streamlined processing pipeline for people-focused content
• Generally the fastest processing time across all our models

This makes it perfect when you need quick turnaround on human-centric videos.

videobgremover-human costs 45 credits per minute (0.75 credits/sec), which is 25% cheaper than videobgremover-original:

• 30-second video: 23 credits (save 7 credits vs original's 30)
• 2-minute video: 90 credits (save 30 credits vs original's 120)
• 5-minute video: 225 credits (save 75 credits vs original's 300)

Same price as videobgremover-light, but specifically optimized for human subjects.

Use videobgremover-human when your video features human subjects as the main focus:

Perfect for:

• Face cam videos and webcam recordings
• Portrait videos and headshots
• Talking head content (courses, tutorials, podcasts)
• Social media content with people
• Interviews and testimonials

Use other models for:

• Non-human subjects (use videobgremover-light or videobgremover-original)
• Complex scenes with multiple objects (use videobgremover-original)
• Text prompt control (use videobgremover-pro)

If your video has people facing the camera, videobgremover-human is usually your best choice.

Both cost the same (45 credits/min) and offer cost savings, but are optimized differently:

videobgremover-human:

• Fastest processing speed
• Specialized matting algorithm for people
• Best for portraits, face cam, talking heads
• Optimized for human body and face detection

videobgremover-light:

• 2x faster than original (but not as fast as human)
• General-purpose for any subject type
• Good for simple backgrounds with any subject
• Works with non-human content

Rule of thumb: If your subject is human, choose videobgremover-human. For everything else, choose videobgremover-light.

videobgremover-human is specifically optimized for human subjects and may not perform as well on non-human content:

Not recommended for:

• Animals and pets
• Products and objects
• Vehicles
• Complex non-human scenes

For non-human subjects, use:

• videobgremover-light - Fast and affordable for general content
• videobgremover-original - Highest quality for complex subjects
• videobgremover-pro - Text prompts for specific objects

Stick to videobgremover-human only when people are your main subject for optimal results.

Yes! videobgremover-human can handle multiple people in a video:

• Automatically detects and segments all human subjects
• Maintains quality with groups and multiple people
• Optimized for human detection regardless of number

However, if you need to isolate specific individuals from a group, you'd need videobgremover-pro with text prompts (e.g., "person in red shirt").

For general multi-person videos where you want to keep all people, videobgremover-human works great.

Absolutely! videobgremover-human delivers high quality results (just below "highest" quality):

Professional use cases:

• YouTube videos and creator content
• Online courses and educational platforms
• Video podcasts and interviews
• Social media content (Instagram, TikTok, LinkedIn)
• Corporate training and presentations
• Testimonials and customer stories

The quality is excellent for human-centric professional content. Only choose videobgremover-original over human if you need the absolute highest quality for broadcast or cinema-grade production.

Yes! videobgremover-human is perfect for batch processing face cam and portrait content:

Benefits for batch processing:

• Fastest processing speed saves time
• 25% cost savings add up quickly
• Consistent quality across all human-centric videos
• API/SDK support for automation

Use our Python or Node.js SDKs to automate processing of multiple face cam videos, online course content, or social media clips.

View API Documentation for batch processing examples.