Background Removal

Remove backgrounds from your images instantly using AI. Perfect for product photos, portraits, and more.

Drop an image here or click to upload

Supports JPG, PNG, WebP, GIF, HEIF, AVIF, BMP, TIFF up to 10MB

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How to Use Background Removal for Furniture & Home Decor

Upload Your Inventory

Drag and drop your furniture photos into the Sirv AI Studio dashboard. We support high-resolution formats to ensure your textures remain sharp.

AI-Powered Extraction

Our neural networks analyze the depth and contours of your decor items, separating the subject from the background with surgical accuracy.

Download and Deploy

Export your polished images with transparent or solid backgrounds, ready for your website, social media, or print marketing materials.

Why Use Background Removal for Furniture & Home Decor

Preserve Intricate Details

Our AI is trained to recognize the complex edges of furniture, from the delicate spindles of a Windsor chair to the soft fibers of a velvet sofa, ensuring no detail is lost.

Instant Marketplace Compliance

Automatically convert busy lifestyle shots into clean, white-background images that meet the strict requirements of Amazon, Wayfair, and Google Shopping.

Consistent Brand Aesthetic

Create a uniform look across your entire inventory by replacing varied backgrounds with your signature brand colors or a minimalist studio setting in seconds.

Cost-Effective Batch Processing

Eliminate the need for expensive professional reshoots or manual masking. Process large furniture collections at scale for only 1 credit per high-resolution image.

Frequently Asked Questions

Yes, our tool intelligently identifies and can either preserve or remove natural contact shadows to maintain a realistic sense of scale and depth.

Absolutely. Sirv AI Studio is designed to isolate specific furniture pieces even from complex interior design environments or busy showroom floors.

Each successful background removal costs exactly 1 credit, regardless of the complexity of the furniture's shape or the image resolution.