Clean subject isolation
AI identifies the foreground subject and removes the surrounding scene, including detailed product and portrait edges.
Bulk Background Remover
The Scenyra bulk background remover deletes backgrounds from hundreds of images at once. Upload a batch, get clean transparent PNG cut-outs for every product or portrait, then download the whole set together as a ZIP.
Clean, sharp edgesTransparent PNG outputHundreds at onceAuto-refund on failures
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Remove image backgrounds across a complete batch
A bulk background remover separates the main subject from its surroundings across many images in one workflow. It is designed for teams and creators who need a consistent set of transparent product, portrait or campaign assets without tracing every selection manually.
Scenyra sends each selected image through an AI background-removal task and returns the completed result to your private file storage. Every successful cut-out can be downloaded separately, and the finished set can be packaged into a ZIP.
Transparent output
Use the processed cut-out on white, branded or designed backgrounds without a leftover image box.
Protected batch processing
Each image is handled as an individual task, and credits for failed tasks are automatically returned.
Remove backgrounds in three steps
The upload, processing and download flow is designed to stay consistent even when a batch contains different subjects.
Upload a batch
Add up to 40 JPG, PNG or WebP files. Each background-removal source can be up to 5MB.
Let AI isolate each subject
Scenyra creates a separate processing task for every image so progress and failures can be tracked individually.
Review and download
Preview completed cut-outs, download individual files or collect the successful results in a single ZIP.
Where bulk background removal saves time
Transparent cut-outs are reusable assets, making them valuable anywhere a subject must move between layouts or backgrounds.
Product photography
Turn studio, supplier or phone photos into consistent product cut-outs for a cleaner catalogue workflow.
Marketplace listings
Prepare products for white-background marketplace layouts before resizing them to the required dimensions.
Marketing and design
Reuse a person, product or object in banners, presentations, advertisements and social graphics.
Portrait collections
Create a consistent set of profile, team or creator portraits that can share the same designed background.
What makes a good background-removal source?
The cleanest cut-outs usually come from images where the foreground subject is in focus and visually distinct from the background. Higher-resolution sources give the model more information around hair, fabric, glass, thin objects and product edges.
Low contrast, motion blur, heavy compression and overlapping foreground objects can make the intended boundary less certain. Review every completed cut-out before using it in a product listing or final campaign asset.
Private results, credits and failed tasks
Background removal is an AI service rather than a local browser operation. You must sign in, and each source image is uploaded to private storage before processing. The current price is two Scenyra credits per image.
Credits are reserved per image so one failed item does not invalidate the whole batch. When a processing task fails, its reserved credits are refunded automatically and the remaining successful results stay available.
Background remover input and output
The batch validates each source before creating paid processing tasks.
| Requirement | Current support |
|---|---|
| Input formats | JPG, PNG and WebP |
| Maximum file size | 5MB per image |
| Maximum batch size | 40 images |
| Output | Transparent cut-out |
| Price | 2 Scenyra credits per image |
| Failed task policy | Automatic credit refund |
Tips for cleaner transparent cut-outs
- Choose images with a clear, in-focus subject and visible separation from the background.
- Use the highest-quality source you have when the subject includes hair, fur, glass or thin edges.
- Avoid aggressive compression before background removal because block artifacts can affect edge detection.
- Inspect the result on both light and dark backgrounds before publishing it.
- Resize finished cut-outs only after background removal when you want to preserve the most edge detail.
Frequently asked questions
What does the bulk background remover return?
It returns a processed cut-out with the detected background removed. Successful results can be downloaded individually or together in a ZIP.
Which input formats are supported?
Scenyra accepts JPG, PNG and WebP source images for background removal.
How many images can I process in one batch?
You can add up to 40 images to a background-removal batch. Each file must be 5MB or smaller.
How many credits does background removal cost?
Each image costs two Scenyra credits. The batch total depends on the number of accepted images you submit.
What happens when one image fails?
A failed item is marked separately and its two reserved credits are refunded automatically. Other images in the batch can continue processing.
Do I need to sign in?
Yes. Sign-in is required because the tool uses credits, stores private source files and keeps processed results associated with your account.
Are background-removal images processed locally?
No. Unlike the free image resizer, background removal uses an external AI processing service. Source files and results are handled through Scenyra private storage and processing workflows.
Will it work with hair or detailed product edges?
The model is designed to detect detailed subject boundaries, but results depend on source quality, contrast, blur and scene complexity. Always review important cut-outs before publishing.
Can I download all successful results together?
Yes. When the batch has completed results, Scenyra can package them into a ZIP while still allowing individual downloads.
Explore the image toolkit
Continue the workflow with a related Scenyra image tool.
Create transparent image cut-outs
Upload a batch of product, portrait or creative images and process them through one consistent workflow.
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