Free Background Remover - In Your Browser
Remove image backgrounds without uploading anywhere. The AI model runs entirely on your device using Transformers.js + WebGPU; the only thing that touches our servers is this static page. No signup, no rate limits, no watermark.
How to use
- Drop an image (or click the upload zone). First time only, the AI model downloads to your browser - about 170 MB, takes 30 s on a fast connection.
- Wait 2-10 s while the model runs locally on your image.
- Download the result as transparent PNG, or apply a solid-color background and download.
Why use background removal in email marketing?
Email designers reach for background removal in four common situations: product photos (lift the product onto a clean brand-color background that matches the email's hero stripe), team headshots (round circular crops with transparency for "About us" sections), hero images (drop a portrait onto a colored stripe so the figure floats), and signature photos. The trick is consistency - once you compose product or team imagery against a uniform background, the entire email reads more polished without any new design effort.
FAQ
How does in-browser background removal work?
Your browser downloads a compact AI segmentation model (~170 MB on first use, cached locally afterward) and runs it on your image entirely on-device using WebGPU or WebAssembly. No upload, no server. Subsequent uses are instant because the model is already in your browser's cache.
Does my image get uploaded anywhere?
No. Open your browser's DevTools Network tab while you process an image - you'll see zero outbound requests for the image data. The model runs in a sandboxed Web Worker on your device. This is structurally different from remove.bg, Canva, and Photoroom, which upload images to their servers for processing.
Why is the first run slow?
The model file is ~170 MB and downloads once on first use. After that, it's cached in your browser's IndexedDB and reuses across visits - no re-download. Inference itself runs in 2-10 seconds depending on image size and whether your GPU supports WebGPU (Chrome 113+, Edge, Firefox 121+ with flag).
When should I use background removal in email marketing?
Product photography (lift the product onto a brand-color or photo background), team headshots (consistent circular crops with transparency), hero images (drop a portrait onto a colored stripe), and email signatures. Avoid for hero images where the background is part of the message - backgrounds carry context.
What images work best?
Subjects with clear edges and decent contrast against the background - products on white or solid colors, headshots with even lighting. Hard cases: hair (especially curly or fly-aways), transparent objects (glass, water), and busy backgrounds where the subject blends in.
Does this work on mobile?
Yes, but expect 10-30 second processing times instead of 2-10 seconds - phone GPUs are slower and most don't yet support WebGPU. The 170 MB model download also takes longer on mobile networks. For best mobile experience, use Wi-Fi for the first load and keep images under 1500 px on the long edge.
What model does this use?
The default is U2Net - a well-known salient-object segmentation model released under Apache-2.0 (commercial use OK). Other popular models like BRIA RMBG-1.4 produce slightly cleaner edges but are licensed for non-commercial use only, so we deliberately don't use them.
Why is the output PNG so large?
Transparent PNG carries the alpha channel for every pixel, which roughly doubles file size compared to JPEG. For email use, run the result through our Email Image Compressor before embedding - the compressor preserves transparency and gets typical PNGs down to 100-200 KB.
Drop the cut-out into a real email
MiN8T's editor handles transparent PNGs end-to-end - drop the file in, position it on any background color, and ship to your ESP. No more bouncing between tools.
Open MiN8T Editor →