Restaurant Photo Editor
Generative output can vary; review the full result before publishing
Restaurant photography is usually taken by whoever had a phone free during service, under whatever light the dining room has. This direction fixes the presentation around the plate — surface, light quality, distraction removal — while the dish itself stays as the kitchen sent it, because a diner comparing plate to picture is the whole test.
- Prepared Restaurant Photo Editor direction
- Editable prompt and explicit output controls
- Source-detail review required
Generative output can vary; review the full result before publishing
Choose a source image for Restaurant Photo Editor
JPG, PNG, WebP, HEIC, and other supported formats. Free up to 20 MB; Premium and higher up to 50 MB for this tool.
Set up for Restaurant Photo Editor
Prepared settings
- Starting point
- Upload one source image
- The page opens on the correct edit workflow; upload is the only required setup step.
- Prepared workflow
- Prepared Restaurant Photo Editor scene direction
- Restaurant Photo Editor opens with the Restaurant Photo Editor direction preselected, so there is no need to find the operation manually.
- Output shape
- 4:3
- The recommended composition is selected automatically and can be changed before processing.
- Review rule
- Preserve the source subject and verify factual details
- Generated imagery can vary; the final result stays under the user's approval before download.
Best-fit uses
- Menu photography shot during service
- Consistent imagery across a full menu
- Refreshing listings on review and booking sites
Frequently asked questions
- How do I photograph dishes during a busy service?
- Set up one spot near a window with a neutral surface and use it every time. Consistency of position beats perfection of any single shot, and it takes seconds once established. Shoot before the dish goes out rather than trying to stage it later.
- Can I remove things from the table in the photo?
- Distractions like a stray cloth, a phone or a cluttered background, yes. What must not change is the dish: portion, plating, garnish and how it is actually served. That distinction is exactly where menu photography becomes misleading.
- Should every menu item be photographed?
- Photograph the dishes you want to sell rather than all of them. A partial set of strong images outperforms a complete set of weak ones, and diners take an unphotographed dish as normal — whereas a badly lit one actively discourages ordering it.
- Do food photos need to match what is served?
- Yes, and in many markets that is a legal requirement rather than a courtesy. Food advertising rules generally prohibit misrepresenting a product. Preserving the plate as photographed is the point of the boundary this direction keeps.
What you can do with AI Product Scene Generator
Review the main capabilities before you begin.
- Detect and protect the product automatically
- Create editorial, ecommerce, and social campaign concepts
- Generate coherent props, surfaces, lighting, and shadows
- Copy protected product pixels from the prepared source
Settings reference
5 settings
Available controls for AI Product Scene Generator.
Workflow
- Single image or Batch imagesPresets
- Process one image, or use Premium Batch images to apply the same automatic recipe to a set and download one ZIP.Options: Single imageBatch images
Scenes
- One-tap presetsPresets
- Pick a ready-made direction with one tap; generation uses the selected preset automatically.Options: Bathroom counterKitchen lifestyleOutdoor lifestyleEditorial podiumSocial ad
- Custom instructions (optional)Text input
- Describe the requested change, relevant materials, lighting, perspective, and details that must remain unchanged.
Selection
- Selection brush sizeSliderRange: 4–160px · Default: 32px
- Automatic selection is the default. Open Refine area manually and set this brush width only when the image needs a tighter edit boundary.
Output
- Ask AI to preserve subject identity and product detailsOn / Off
- Adds an explicit instruction to retain the main subject, shape, branding, labels, and readable text unless the request changes them.
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