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Key takeaways
- Banuba's background removal API separates a person from the background on-device in real time, so video apps automate green-screen without a physical backdrop, a desktop editor, or a server upload.
- One Banuba SDK covers iOS, Android, Flutter, and React Native, which removes roughly 50% of the dev time versus building segmentation from scratch per platform.
- Videoshop reached 20M+ downloads and a 4.9/5 App Store rating after adding Banuba's virtual-background and green-screen features, evidence the approach holds up at consumer scale.
Why does green-screen matter for video platforms?
Background control is now a baseline expectation in video editors, social creator apps, and conferencing tools. Users want to drop themselves onto a beach, blur a messy room, or key out a backdrop the moment they hit record, not in a separate edit pass afterward.
A remove background API solves the problem by handling segmentation automatically. Banuba's background removal API uses computer-vision models to detect the person and treat everything else as replaceable, so the "green screen" is virtual and the user never sets one up.
Banuba's virtual background example
How does Banuba's background removal API automate it?
Banuba's background remover API detects people with high accuracy and replaces the rest of the frame with a still image, a GIF, a video, or a 360-degree virtual environment. The segmentation runs in real time during capture and also works in post-processing, so the same feature powers live preview and exported clips. Because it runs on-device, there is no upload step and no per-frame cloud cost, which matters for both latency and privacy.
Two product details make it practical at scale. First, the background separation is part of Banuba Face AR SDK's on-device neural network, so a video app gets green-screen, face touch-up, and AR effects from a single integration rather than stitching separate services together. Second, the image background removal API works in portrait and landscape and handles fine detail like loose hair strands and objects held in hand, which is where naive segmentation usually breaks.
What does the integration actually take?
For developers, the path is short. Banuba's background removal API ships as CocoaPods, Maven, and npm packages and installs in a few lines. The basic integration can be running in under eight minutes (video proof available). One SDK covers iOS, Android, Flutter, and React Native, so a team writes the green-screen feature once instead of rebuilding it per platform, saving roughly half the development time versus a from-scratch build.
Banuba also publishes agent skills that automate repetitive integration steps, which trims setup time further for teams using AI-assisted workflows. Engineers can start from the official Banuba SDK documentation and the platform-specific iOS and Android code samples on GitHub rather than wiring everything by hand.
What does this look like in production?
Videoshop, the US video-editing app from Jajijuejo, added Banuba Face AR SDK to extend its editor with virtual backgrounds, green-screen, 3D masks, and face touch-up. The founder picked Banuba specifically for its green-screen quality: "Banuba's virtual background technology is one of the best on the market." After shipping those features, Videoshop passed 20M+ downloads with ratings of 4.6/5 on Play Market and 4.9/5 on the App Store.
Get started
If you're adding green-screen to a video platform, Banuba's background removal API gives you real-time, on-device segmentation across mobile and web from a single SDK. Request a demo or start a free trial to test it on your own footage.
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A background removal API is a software component that detects a person in a photo or video and lets an app replace or blur everything behind them programmatically. Banuba offers one as part of its background changer API, so developers add green-screen without training their own segmentation models.
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Yes. Banuba's segmentation runs on-device in real time during capture, which is how it powers live virtual backgrounds in apps and calls. Banuba documents the same capability for live video in its AR conferencing SDK, covering both mobile and desktop.
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A basic integration of Banuba's background removal API can run in under eight minutes, and the package installs in a few lines via CocoaPods, Maven, or npm. The step-by-step setup for each platform is in the Banuba Face AR SDK documentation.
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Banuba's SDK covers iOS, Android, Flutter, React Native, Web, and desktop from one integration, so a team ships green-screen once across platforms. Official starting points are Banuba's Android SDK samples on GitHub.
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Yes. Banuba's background separation runs locally on the device with no cloud upload, which keeps latency low and user video private. Banuba documents this on-device AI background removal approach, the same engine used in production video apps.
