Product white background
Place a segmented subject on a solid white background.
Product white background
Drop your files here
or choose files from your device
How to use Product white background
Product white background segments the main subject of a photo and places it on a solid white #ffffff background, a common look for product listings. It uses the BEN2 model, which downloads once and then runs in a browser worker. There are no settings to adjust, and the result is saved as a PNG.
- Choose a source file. If the tool accepts multiple files, arrange them in the order you want.
- Check the source format before running the operation.
- Run product white background, review the output, then use the available copy or download controls.
What this tool supports
Downloads a browser inference model on first run, then processes source locally in a cancellable Web Worker. Background removal uses BEN2; transcription uses Whisper tiny. Review recognition errors and image edges.
Limits and processing
Image inputs: up to 32 megapixels, batches up to 10 images. Audio/video uploads: 50 MB; transcription: 120 seconds. Edited videos: 20 seconds, 4 fps and 640 pixels wide. Translation: English/Spanish, 30,000 characters; subtitles: 200 cues. Neural speech: 1,000 English characters. Model downloads and memory requirements vary by device.
Example source
A useful tool makes everyday work easier. Review the results before sharing.
Frequently asked questions
How do I put a product photo on a pure white background?
Upload the product photo and run the tool. The subject is separated automatically and drawn over a fill of #ffffff, with no settings to adjust. Check the edges at full size before using the image in a listing.
Can I choose a background color other than white?
Not in this tool, which always uses #ffffff. The product shadow maker accepts any background color and adds a soft shadow, or you can remove the background to get a transparent PNG.
Can I process several product photos at once?
This tool uses only the first image you select. For several photos, the batch background removal tool handles up to 10 images and returns transparent PNG cutouts in a ZIP.
Where is my input processed?
Source files and text stay in this browser. The first run downloads public models from Hugging Face and local runtime assets from the site. Models may remain in the browser cache. No source upload to Vercel, Supabase or a conversion service is required.
What are the input limits?
Image inputs: up to 32 megapixels, batches up to 10 images. Audio/video uploads: 50 MB; transcription: 120 seconds. Edited videos: 20 seconds, 4 fps and 640 pixels wide. Translation: English/Spanish, 30,000 characters; subtitles: 200 cues. Neural speech: 1,000 English characters. Model downloads and memory requirements vary by device.