Replace image background
Cut out a subject and place it on an uploaded background.
Replace image background
Drop your files here
or choose files from your device
Replace image background কীভাবে ব্যবহার করবেন
Replace image background cuts the subject out of one photo and places it on a second image you upload as the new background. The BEN2 segmentation model downloads on first use and runs in a browser worker. The background image is scaled to cover the subject photo's dimensions and centered, and the result is 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 replace image background, review the output, then use the available copy or download controls.
এই টুলের সুবিধা
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.
সীমা ও প্রক্রিয়াকরণ
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.
ইনপুটের উদাহরণ
A useful tool makes everyday work easier. Review the results before sharing.
সাধারণ প্রশ্ন
How do I change the background of a photo?
Select exactly two images: the photo with the subject first, then the replacement background. The subject is cut out automatically and drawn on top of the background, and the combined image is saved as a PNG.
What size will the final image be?
The output keeps the dimensions of the subject photo. The background image is scaled up or down until it fills that frame and is centered, so parts of it may be cropped if its proportions differ.
Why do the edges of my subject look rough?
Edges come from the model's segmentation, and hair, transparent objects and low-contrast outlines are the hardest cases. Review the edges at full size; a photo with clearer separation from its background may give a better cutout.
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.