Delivery photo requirements

Food delivery photo requirements by platform

A platform-by-platform guide to food delivery photo requirements for Uber Eats, DoorDash, Wolt, Bolt Food, GrabFood, foodpanda, Deliveroo, Just Eat, Glovo, iFood, and Grubhub.

Most delivery platforms want clear, accurate, mobile-readable dish photos that avoid misleading portions, text overlays, watermarks, stock imagery, and crops that hide the food. The safest workflow is to approve one truthful master image per item, then export channel-specific versions for each app.

9 min readUpdated 2026-06-15
Food delivery app image prepared from an approved dish photo

The common delivery app standard

Delivery apps use different upload flows, review rules, and image placements, but the practical quality bar is similar. The image must help a customer understand the item quickly on a phone and trust that the food will match what arrives.

That means the best delivery photo is not the most dramatic image. It is the image that shows the real dish clearly, keeps the portion believable, and survives the crop used in a marketplace listing card.

  • Show the real item customers can order.
  • Keep the dish centered, sharp, and readable at mobile size.
  • Avoid text overlays, borders, collages, watermarks, and unrelated props.
  • Leave enough crop-safe space around important ingredients.
  • Use one approved master image before exporting app-specific versions.

How requirements differ by platform

Uber Eats publishes practical photography guidance around natural light, angle choice, portion clarity, and avoiding extreme close-ups or bad lighting. DoorDash focuses the merchant support experience around menu photos, review reasons, smart photo tools, and merchant upload workflows. Wolt emphasizes adding and editing menu photos inside its merchant flow, while Bolt Food guidance is more explicit about clean in-app photography and avoiding graphic additions.

GrabFood and foodpanda are especially relevant for Southeast Asia, where restaurant teams often manage menus across several marketplaces at once. For these teams, the operational problem is not only one upload rule. It is keeping image matching, dish accuracy, and export consistency under control across many channels.

  • Use Uber Eats and DoorDash pages for US-heavy restaurant searches.
  • Use Wolt and Bolt Food pages for European marketplace searches.
  • Use GrabFood and foodpanda pages for Southeast Asia searches.
  • Use Deliveroo, Just Eat, Glovo, iFood, and Grubhub pages for broader platform coverage.

Build the image workflow once

Restaurants should not edit the same dish from scratch for every delivery app. A stronger workflow creates a master asset first: accurate source photo, conservative enhancement, human review, and approved status. Only after that should the team export channel-specific crops or file versions.

This is where Splentify fits the workflow. It improves recoverable food photos, normalizes messy menu sets, and prepares cleaner outputs without turning the dish into a fictional stock image.

  • Audit each source image as publish, enhance, replace, or hold.
  • Enhance lighting, crop, clarity, and background consistency.
  • Reject outputs that change ingredients, portion, packaging, or dish identity.
  • Export approved versions for Uber Eats, DoorDash, Wolt, Bolt Food, GrabFood, foodpanda, and owned channels.

Sources

Official guidance referenced

These pages are used as source material where platform or channel requirements matter.

Uber Eats

Restaurant menu photography guidelines

Open source

Wolt

How to add or edit your menu photos on Wolt

Open source

Deliveroo Help Centre

How to upload your own photos in Menu Manager

Open source

Bolt Food

Bolt Food guidelines for in-app photography

Open source

Grab Help Centre

Best practices for taking store photos

Open source

FAQ

Common questions

Short answers for teams deciding how to improve food visual workflows.

Are food delivery photo requirements the same on every app?

No. Each platform has its own upload and review process, but most expect clear, accurate, crop-safe photos that represent the real menu item.

Can one food photo work for multiple delivery apps?

Yes, if the team starts with an approved master image and then exports platform-specific versions for each channel.

Should restaurants use AI-enhanced delivery photos?

Yes, when enhancement improves presentation while preserving the real dish, portion, ingredients, and packaging expectations.

Put it into practice

Try Splentify on your current food images

Upload existing dish images and compare the output against the workflow described in this guide.