AI Background Blur softens the existing scene behind a person, product or object while keeping the foreground clear. Upload one image, optionally describe the desired strength, and generate a natural depth effect that preserves background content instead of replacing or removing it.
The system prompt separates the main foreground subject from the scene behind it and asks the model to preserve the subject at full clarity. This directs attention without intentionally changing identity, product shape, pose, clothing or other foreground details.
Try it nowUnlike Background Changer, this workflow keeps recognizable background content and changes only its focus. Existing color, lighting and composition remain part of the photograph, making blur suitable when context matters but sharp distractions compete with the subject.
Try it nowDescribe a subtle, moderate or strong depth effect in the optional field. When you provide no direction, the server prompt requests a moderate natural blur, giving the tool a restrained default that can be refined after the first result.
Try it nowThe instruction calls out hair, clothing and object edges because subject separation often fails there. Generative editing can still soften a fine edge or leave a sharp background gap, so close inspection remains important for portraits and detailed products.
Try it nowSoften a busy room or street behind a person while preserving identity, hair, clothing, pose and expression.
Reduce competing shelf or lifestyle detail while keeping the merchandise, labels, materials and color clear.
Guide attention toward a speaker, performer or featured moment while retaining the atmosphere of the venue.
Create a cleaner focal hierarchy for an owned post or profile image without inventing a new environment.
Use White Background for a clean neutral setting or Background Changer when the existing scene should be replaced.
Test instructions in the workbench before calling a supported image model through APIXO for authorized assets.
Create an alternate depth treatment from an authorized image while keeping the pictured person recognizable and sharp.
Reduce contextual clutter behind products while preserving merchandise details that customers need to evaluate.
Strengthen focal hierarchy in social and editorial imagery without replacing the location or visual atmosphere.
Prototype model behavior visually before integrating an approved blur workflow into image production software.
GPT-Image-2.5OpenAIGPT-Image-2OpenAI
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Nano Banana ProGoogleNano Banana 2GoogleNano BananaGoogle
Qwen Image 3.0 ProAlibabaQwen Image 3.0Alibaba
Flux 2Black Forest LabsFlux KontextBlack Forest Labs
MidjourneyMidjourney
MiniMax Image 01MiniMaxWan 2.6 ImageAlibabaWan 2.5 ImageAlibaba
Grok ImagexAIChoose an image with a clear main subject and enough background context to preserve during the focus edit.
Optionally request subtle or strong softening and name any background detail that should remain readable.
Review the subject boundary, identity, product details and remaining scene context before downloading the result.
Choose a source with visible separation between the main subject and the background whenever possible.
Describe the desired effect as subtle, moderate or strong instead of requesting an abstract professional look.
Inspect hair, transparent objects, gaps between limbs and other narrow boundaries at close viewing size.
Check that important background context remains recognizable when the image depends on a specific place or event.
Switch to Background Changer when softening the original scene cannot remove a distracting visual conflict.
AI Background Blur is a prompt-guided image editing workflow that keeps the main subject sharp while regenerating the existing background with a softer focus. It aims to preserve scene content, color, lighting and composition rather than replacing the location with a different environment.
Upload the image and optionally describe the preferred strength. With no extra direction, the tool requests a moderate natural depth effect. Generate the edit, inspect fine foreground edges and verify that important context remains recognizable before choosing or refining a result.
You can request a subtle, moderate or strong appearance in the description, but this prompt-driven workflow does not promise a numeric lens or blur control. The model interprets the wording visually. Compare results and models when a specific degree of separation matters.
Use a clear image accepted by the upload control. A well-lit source with visible edges and enough surrounding context gives the model more information to preserve important details. Very small, heavily compressed, blocked or ambiguous areas can make reconstruction and fine lettering less consistent.
Generation uses credits based on the model and parameters selected for the task. The workbench shows an estimate before submission, so you can review the expected charge before starting. Switching models or output settings can change that estimate without changing the purpose of the tool.
Yes. The models that power the workbench are also available through APIXO APIs for developers building repeatable image workflows. The related model pages explain current request fields and response handling. Use the workbench for visual testing, then choose the matching model documentation for integration.
Commercial use depends on your rights to the source image, its people, logos, artwork and other protected material, together with the terms that apply to your selected model and destination. Only upload content you are authorized to edit, and review relevant permissions before publishing or selling the result.
Upload one photo and soften the existing scene while the person, product or object stays clear.
Try it now
