Professional webcam enhancement for Linux. Real-time processing, virtual camera output, and AI-powered features — all open source.
Noise reduction, HDR, auto white balance, background blur, AI enhancement, and more.
Output enhanced video to Zoom, Teams, Meet, or any app via v4l2loopback.
Remove, blur, or replace your background using AI segmentation.
Use your Android phone as a webcam. DroidCam is automatically detected.
vcam sits between your webcam and video apps, enhancing every frame in real time.
Any USB webcam, built-in camera, or DroidCam (Android phone). vcam detects it automatically.
16 processing engines run in real time: noise reduction, HDR, color correction, background blur, AI enhancement, and more. Choose presets or fine-tune each engine.
The processed feed is output through a virtual camera device. Zoom, Teams, Meet, OBS, and any other app see it as a normal webcam.
Professional-grade image processing, inspired by smartphone computational photography.
One-slider professional correction. Auto white balance, shadow lift, and highlight rolloff in a single control.
Multi-frame temporal denoising with chroma-aware blending. Dramatically cleaner video in low light.
AI-powered person segmentation with smooth, natural background blur. No green screen needed.
Neural network enhancement using SCUNet-GAN for maximum quality. GPU accelerated.
Don't want to tweak 16 sliders? Choose a preset and you're done.
Optimized for conference calls. Clean image, subtle enhancement, balanced processing.
Professional look with stronger color correction, sharpening, and virtual key light.
Maximum noise reduction and shadow lift for dark environments.
Minimal processing. Just noise reduction and auto white balance for a natural look.
vcam is currently in development. Check back for public release announcements.
Visit stri.be for updates