

Uber Eats Food Photo Studio
Uber Eats browsing is category-first — your biryani competes inside “Indian,” your burger inside “American” — and the tile must win its category row. This direction prepares your actual dishes for that competition: category-clear presentation, crisp bright light, portions the paper bag will corroborate.
- Prepared Uber Eats 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 Uber Eats
JPG, PNG, WebP, HEIC, and other supported formats. Free up to 11 MB; Premium and higher up to 50 MB for this tool.
Set up for Uber Eats Food Photo Studio
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 Uber Eats background direction
- Uber Eats Food Photo Studio opens with the Uber Eats direction preselected, so there is no need to find the operation manually.
- Output shape
- 1:1
- 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
- Category-row winning tiles
- Menu-complete photo sets
- Brand consistency across ghost kitchens
Frequently asked questions
- What makes a tile win its category row?
- Instant identification plus appetite — the dish unmistakable for its category and glossier than its neighbors. Ambiguous tiles lose to legible ones regardless of kitchen quality.
- Do ghost kitchens need different photo strategy?
- Stronger — without a storefront, the photos ARE the restaurant. Consistent styling across the virtual brand builds the trust a physical location would.
- What should I review in a Uber Eats result?
- Check the subject, product geometry, colors, labels, logos, identity-relevant details, shadows, and edges against the source. Reject any output that changes a factual detail.
- What rights checks apply to a Uber Eats client project?
- Use only source material and references you have rights to, follow the destination platform rules, and obtain any required person or property permissions. Generated output still needs a human accuracy and rights review.
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: 16–160px · Default: 64px
- 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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