Uber Eats Restaurant Photos: Technical Requirements & Complete Guide 2026

When a hungry customer opens Uber Eats, they don't arrive with a restaurant in mind. They arrive with a delivery area and a few seconds of patience. They scroll through the feed, and what decides where their eyes land isn't the name of the place or the star rating: it's the photo. If your dish appears with an appetising image, the thumb stops. If it appears without a photo, or with a dark, blurry image, the customer keeps scrolling without even registering that you exist. That's why optimising your menu photos on Uber Eats is, by a wide margin, the highest-return marketing action a restaurant can take on the platform.

The industry data is clear: products with images receive on average two to three times more orders than the same dishes without a photo. And restaurants that complete and optimise all their images following Uber Eats' specifications record conversion increases of around 25-30% compared to their previous situation. This isn't a marketing claim: it's the consistent result of years of A/B testing run by the delivery platforms themselves across millions of orders.

This complete guide explains exactly everything you need to know about Uber Eats photos: the official technical requirements, how to upload them step by step from Uber Eats Manager, the composition principles that genuinely convert, the ten most common errors that cause rejection or low conversion, how to get the most out of mobile photography, and why artificial intelligence has put professional-quality images within reach of any restaurant, regardless of size or budget.

Why photos are the number one factor in your Uber Eats performance

Before getting into technical specifications, it's worth understanding why photography carries so much weight on Uber Eats and on any food delivery app. The human brain processes an image in roughly 13 milliseconds, while reading a text description takes several seconds. In the fast-decision context of a delivery feed, that asymmetry changes everything.

When a customer sees your dish on Uber Eats, the photo is the first thing their brain evaluates, subconsciously. They aren't thinking about your value for money or your delivery time. They're processing visual cues that instantly translate into perceptions: this food looks freshly made or looks like yesterday's, this dish looks generous or stingy, this restaurant looks cared-for or neglected.

Image quality also works as an indicator of business quality. A restaurant with blurry or badly lit photos unintentionally signals that it pays little attention to detail, even if its kitchen is excellent. By contrast, a restaurant with clean, well-framed, properly lit images projects professionalism before the customer has read a single word of the description.

The quantifiable impact on sales

Beyond the psychology, there are concrete numbers that justify investing in photography for Uber Eats:

• Products with images versus products without: items with a photo receive between 2 and 3 times more orders than the same items without an image, according to aggregated delivery-platform data.
• Impact of the restaurant cover photo: your main establishment image on Uber Eats determines how many people click through from the feed and from search results. An optimised cover photo can increase profile visits by 40-60% compared with a mediocre or generic image.
• Visual consistency across the full menu: restaurants with a photo for every dish report a higher average order value, because customers discover and order dishes they would never have ordered without seeing them first.
• Effect on internal ranking: Uber Eats uses each dish's conversion history as one of the signals for ordering its catalogue. A dish with high conversion —helped by a good photo— gains organic visibility within the platform over time.

Uber Eats' official technical requirements for menu photography

Knowing Uber Eats' exact technical requirements is the first step to avoiding rejections and making sure your images display correctly on every device. These are the parameters you need to meet before uploading any photo:

Image specifications

• File format: JPG (JPEG) or PNG. Uber Eats accepts both for dish photos. JPG balances quality and file size and is the most practical option for photographs; keep PNG for images with flat graphic elements, which is rare in food photography.
• Minimum dimensions: 320 × 320 pixels. Below this resolution, the image may be rejected or appear pixelated on modern devices.
• Recommended dimensions: 1,200 × 1,200 pixels or higher. This resolution guarantees sharpness on high-density screens —Retina, AMOLED— which already make up the vast majority of smartphones in use.
• Aspect ratio: Uber Eats works mainly with square images (1:1), but crops to a landscape format in some feed views. Upload at 1:1 with the dish well centred, and leave margin around it so no automatic crop cuts into the food.
• Maximum file size: up to 10 MB per image. Although the margin is generous, it's best to keep the file under 2-3 MB: a well-compressed 1,200 × 1,200 px image fits comfortably within that range and loads faster.
• Colour space: sRGB. Images in Adobe RGB or Display P3 may show incorrect or oversaturated colours inside the app.

Content and composition requirements

• The product should fill between 60% and 70% of the frame. Not so small that the dish gets lost, and not so large that the edges of the food are cut off when the app's crop is applied.
• Front-on or slightly overhead view. Uber Eats recommends showing the dish from the front or at a 45-degree angle. Overhead views also work very well for flat dishes such as salads, bowls, pizzas or rice dishes.
• Clean, uniform or simple-textured background. White, light grey or natural textures such as wood or slate are preferred. Very dark or busy backgrounds make the dish disappear visually.
• The product must match what's actually served. Uber Eats can reject or penalise images that don't faithfully represent the product the customer will receive.
• No watermarks, logos or overlaid text. Images with inserted text are rejected systematically.
• No collages or multiple products in a single image (except combo meals where it's expressly specified). Each product needs its own individual photo.

Visual quality requirements

• Adequate lighting: the image must not be underexposed (dark) or overexposed (blown out). The brightest areas shouldn't lose detail through excess light.
• No blur: the main dish must be sharp. Slight background blur is acceptable and even helps to isolate the product, but the subject must be perfectly in focus.
• No extreme filters: filters that heavily distort the food's colour —a very cool one that turns meat blue, or a very warm one that wilts vegetables— can cause rejection or low conversion even if the photo does get published.

Step-by-step process for uploading photos to Uber Eats

Image uploads on Uber Eats are done through Uber Eats Manager, the partner management dashboard. Here's the full workflow with all the detail you need:

Accessing the management dashboard

1. Log in to Uber Eats Manager at restaurant.uber.com or via the management app, using your restaurant's credentials.
2. Go to the "Menu" section (Menu Maker) from the dashboard's side menu.
3. Select the category where you want to add or update an image: Starters, Mains, Desserts, Drinks, etc.
4. Click on the specific product whose photo you want to add or change.

Uploading the image

1. On the product card, find the "Image" or "Item photo" field. It usually appears at the top or to the side of the edit form.
2. Click "Add photo" or "Upload image" depending on the version of the dashboard you're using.
3. Select the file from your device. Before doing so, check it meets the requirements: JPG or PNG format, minimum 320 × 320 px (recommended 1,200 × 1,200 px), 1:1 ratio.
4. Use the built-in cropper if the dashboard offers one. Adjust the frame so the dish is centred and fills 60-70% of the visible area.
5. Confirm and save your changes. The image then goes through a review process before being published.

Moderation and approval times

Uber Eats reviews images before publishing them. The usual times are:

• Weekdays during business hours: from a few hours to one business day.
• Weekends and holidays: it can extend to 24-48 hours.
• Bulk menu changes or full catalogue uploads: up to 72 hours during high-demand periods.

If your image is rejected, you'll receive a notification with the reason. The most common are: incorrect format, image too small, dish not clearly visible, overlaid text, or an image that doesn't faithfully represent the real product.

Photographic composition for Uber Eats: fundamental principles

Meeting the technical requirements is the bare minimum. For your photos to genuinely convert —for the customer to stop, click and add the dish to the basket— you need to apply basic composition principles adapted to the delivery context.

The frame and how to make the most of it

The most important principle: place the dish in the centre of the frame, slightly above the mathematical centre. This position takes advantage of the natural bias of the human eye, which looks for the main subject in the upper-central area of the image. Since Uber Eats crops to landscape in some views, centring the dish well guarantees it shows in full in any format.

Leave a margin of 15% to 20% around the dish on each side. This stops the edges from being cropped and adds a sense of space and visual cleanliness. A dish that fills 100% of the frame feels suffocating and makes it harder for the customer to visually read the ingredients.

Camera angles by dish type

• Front-on view (0-30 degrees above horizontal): ideal for burgers, sandwiches, layered cakes, dessert glasses and any dish with notable height. The customer sees the layers and the generosity of the dish, which is what sells most in these formats.
• 45-degree view: the most versatile of all. It works well for almost any dish: pasta, meats, rice dishes, composed salads. It shows both the surface of the dish and its volume.
• Overhead view (90 degrees, from directly above): perfect for pizzas, bowls, salads, rice dishes and any plate with an interesting visual design seen from above. It doesn't work well for dishes with height, such as burgers or dessert glasses.

The background: the most underrated element

Your photo's background influences the final perception as much as the dish itself. The backgrounds that work best on Uber Eats are:

• Natural or aged wood: conveys warmth, craft and high perceived quality. Works especially well for Mediterranean, Italian, Middle Eastern and market cuisine.
• Slate or dark stone: adds contrast for light-coloured or very colourful dishes. Ideal for tapas, grilled meats, sushi and seafood.
• Pure white or cream: the cleanest, most professional-looking background. Makes any dish stand out. Highly recommended for Asian cuisine, salads and dishes with colourful ingredients.
• Marble or granite: a sophisticated, modern look. Works very well for restaurants with premium or signature positioning.

What you should avoid without exception: backgrounds with a lot of visible text, very patterned or colourful table linen, shiny surfaces that create reflections, and backgrounds that compete with the dish in colour or texture.

Lighting: the secret that separates a mediocre photo from one that sells

Lighting is what most distinguishes an amateur photo from a professional one, and also the hardest thing to control in a restaurant environment. These are the specific techniques that work best:

Side natural light: the best free ally

Natural light coming through a window and hitting the dish from the side is the ideal lighting for food photography. It creates soft shadows that give volume and texture to the food, makes sauces and glazes shine naturally, and brings out the fresh colours of vegetables and proteins without distorting them.

To make the most of it:

• Place the dish less than a metre from a medium or large window.
• Avoid direct sunlight: it's too harsh and creates very strong shadows that distort the dish. The best natural light is that of a partly cloudy day, or light bounced off the walls.
• The softest, most flattering hours of light are early morning and late afternoon, especially in summer.
• If the shadow on the opposite side is too dark, place a white sheet of paper or card on the side away from the window to bounce some light back and soften the shadow without extra equipment.

Artificial light: how to work with your venue's lighting

Most restaurants have warm-toned ceiling lighting (2,700K-3,000K LEDs) that gives food an unappetising yellow-orange tint in photographs. To compensate without changing the venue's entire installation:

• Adjust the white balance on your smartphone: most camera apps let you do this manually. Look for the "Cloudy" or "Daylight" setting (5,500K-6,500K) to neutralise the warm tone of the bulbs.
• Use a neutral-toned LED ring light (5,000K-5,500K) about 50 cm from the dish. They're cheap —between £15 and £40 at any electronics shop— and completely transform the quality of light available in any corner of the venue.
• Add fill light with white card: bounce light from any available source to create soft lighting from the darker side of the dish.
• If in-camera correction isn't enough, colour temperature can be corrected perfectly in post-production or with AI tools without any noticeable loss of quality.

The 10 most common errors that cause rejection or low conversion on Uber Eats

After analysing the most frequent cases of restaurants with rejected images or a low order rate despite having photos, these are the errors that come up again and again:

Error #1: Image too small

The most basic error and the easiest to avoid. A 320 × 320 px image may look acceptable as a thumbnail, but when enlarged on a modern 6-inch AMOLED smartphone it appears pixelated and unprofessional. Always work with images of at least 1,000 × 1,000 px —ideally 1,200 × 1,200 px— before uploading them.

Error #2: Dish too small in the frame

Many restaurants photograph the dish from too far away, leaving the food as a small element surrounded by empty space. The customer can't appreciate the ingredients or the presentation. Remember: the dish should fill between 60% and 70% of the frame.

Error #3: Cluttered or distracting background

A photo taken straight onto the venue's table, with napkins, sauces, cutlery and other items around it, conveys disorder and makes it hard to focus attention on the food. Clear the surroundings completely before shooting: just the dish and the chosen background.

Error #4: Using the phone's direct front flash

Direct front flash is the biggest enemy of food photography. It creates hard, unnatural shadows under the dish, flattens the food's textures and produces unappetising glare on sauces and proteins. Always turn off the flash and use natural or diffuse light.

Error #5: Underexposed image (dark photo)

Photos taken in low light or in poorly lit areas of the venue come out dark and make the dish look unappetising even when the food is excellent. If the setting is dark, move the dish near a window or add lighting before shooting.

Error #6: Overexposed image (blown-out photo)

The opposite extreme: too much direct light or a flash too close blows out the white areas of the image —white backgrounds, light dishes, pale sauces— and loses detail in those areas. Move the light source away, lower the exposure in the camera app, or use a diffuser.

Error #7: Out-of-focus image

Hand shake when shooting without support produces slightly blurry images that the eye immediately reads as low quality. To avoid it: rest your elbow on the table, use the timer so the screen tap doesn't cause vibration, and tap the dish on the screen so the camera focuses precisely on it.

Error #8: Incorrect aspect ratio

If you upload a 16:9 photo —the default video mode on most phones— Uber Eats will crop it to the area it shows in each view, possibly cutting off parts of the dish. Set the camera to square mode or manually crop to 1:1 before uploading, with the dish well centred.

Error #9: Using the same photo for different products

Reusing the same image for several different dishes —for example, the same salad photo for four variants— confuses the customer and can be penalised by Uber Eats. Each product should have its own individual photo, representative of the specific dish.

Error #10: Photo that doesn't match the real product

Uploading generic stock photos or images with a far more elaborate presentation than what you actually serve creates expectations that then go unmet. The result: negative reviews, cancellations and damage to your reputation on the platform. Consistency between photo and reality is essential.

Food photography with your phone: advanced techniques for Uber Eats

You don't need a professional camera or a studio to get images that comfortably exceed Uber Eats' standards. With a modern smartphone and the right techniques, you can produce photos that go head-to-head with those of any large chain on the platform.

Optimal smartphone camera settings

• Turn on Pro or Manual mode if your phone has it. It gives you full control over ISO, shutter speed and white balance —the three parameters that most affect the final quality.
• ISO as low as possible: ISO 50-100 outdoors in good light, ISO 200-400 in well-lit interiors. A high ISO generates digital noise (grain) that noticeably reduces perceived quality.
• Shutter speed: with support (table, tripod) you can use slow speeds (1/30s-1/60s) to capture more light. Without support, use at least 1/100s to avoid motion blur.
• Manual white balance: set it to the light source you're using. "Daylight" for a window, "Fluorescent" for kitchen strip lights, "Tungsten" for the warm bulbs in the dining room.
• Maximum resolution: make sure the camera is set to shoot at the sensor's highest available resolution.
• HDR off: HDR can create artefacts in high-contrast areas and produces unnatural results in food photography.

The tabletop tripod: the £15 investment that transforms your workflow

A small tabletop tripod eliminates motion blur and lets you experiment with compositions and angles without tiring of holding the phone. Models with flexible legs are especially versatile because they adapt to any surface. The investment —between £10 and £25— pays for itself with the first extra order generated by an improved photo.

Basic post-production without complex apps

Once you have the base photo, small adjustments make a visible difference:

• Exposure: if the photo came out slightly dark, raise the exposure by 15-20% in your phone's native editor.
• Contrast: a moderate increase (10-15%) makes the colours more vivid and the dish look more appetising and three-dimensional.
• Saturation: a slight increase (5-10%) makes the food's colours more vibrant and fresh. Don't overdo it: excessive saturation makes the dish look artificial.
• Sharpness: a small increase improves the perception of textures: the crunch of a coating, the fibre of grilled meat, the porosity of bread.
• Colour temperature: if the photo has a yellow tint from warm lighting, slide the temperature towards blue until the whites are neutral and the colours natural.

Which styles work best by dish type

Not every dish is photographed the same way. The optimal visual style depends on the type of cuisine, the presentation and your restaurant's positioning. Here's a quick guide by category:

Fast and casual food (burgers, sandwiches, kebabs, wraps)

A slightly elevated front angle, between 15 and 30 degrees. The goal is to show the inner layers —the generosity of the ingredients, the melted cheese, the height of the burger— which are the visual elements that sell most in this segment. Neutral backgrounds such as wood or slate work very well.

Mediterranean and Spanish cuisine (paellas, tapas, fish, rice dishes)

Overhead or 45-degree view depending on the dish. Paellas and rice dishes benefit enormously from the view from above, because it shows the whole surface, the distribution of ingredients and the socarrat. Tapas work better at 45 degrees to show their volume and generosity. This category is where you can most differentiate yourself from competitors who don't know Spanish cuisine well.

Asian cuisine (sushi, ramen, noodles, wok)

Sushi, by its flat nature and visual design, works best in an overhead view to show the variety and precision of the rolls. Ramen and broths benefit from a 45-degree view that shows the depth of the broth, the toppings and, if possible, the steam. Dark or slate backgrounds make the colours of sushi —the red of the tuna, the green of the avocado, the white of the rice— stand out especially.

Desserts and pastries (cakes, ice cream, pastries, doughnuts)

Desserts are the dishes where the work on lighting and styling pays off most. Cakes and pastries benefit from a front-on view that shows the inner layers. Ice cream needs to be photographed quickly —or improved with AI afterwards— so it doesn't appear melted. Lighter, warmer backgrounds, such as white marble or light wood, work especially well for sweet treats.

Drinks (cocktails, craft beers, juices, speciality coffees)

Drinks are almost always photographed front-on to show their height, the condensation on a cold glass, the bubbles, the layered colours of a cocktail or the head on a craft beer. The background can be darker and more evocative for premium or signature drinks.

Artificial intelligence for Uber Eats photography: how it changes the rules of the game

The traditional process for getting quality photos for Uber Eats had several bottlenecks: you needed time to prepare the dish just to photograph it, knowledge of lighting and composition, post-production skill, or money to hire a professional photographer (between €300 and €800 per session for a mid-sized restaurant). For many small businesses, those costs made quality photography simply inaccessible.

Artificial intelligence has removed all those bottlenecks. Tools like FoodyFocus let you take a photo with your smartphone in the conditions you have —your kitchen, your table, your venue's light— and get, in seconds, an optimised version that automatically meets Uber Eats' technical requirements and that, visually, competes with any restaurant on the platform.

What AI specifically does for your Uber Eats photos

• Automatic lighting correction: raises the exposure if the photo is dark, recovers blown-out areas if there's overexposure, and balances the shadows so the dish gains volume and depth.
• Automatic white balance: detects the tint of the artificial lighting and neutralises it so the food's colours are true to life, without the yellowish tone typical of restaurant lighting.
• Texture enhancement: the crunch of a croquette, the creaminess of a risotto, the glaze on a doughnut. AI emphasises these textures, which are the ones that whet the appetite most at the moment of deciding the order.
• Optimal reframing: it analyses the dish in the image and proposes the ideal square crop so the food is centred and balanced, so any crop the app applies still shows it in full.
• Visual style selection: you can choose the style that best fits your cuisine —fine dining, casual, delivery, natural— and AI applies a colour palette and lighting treatment consistent with that style and your brand.
• Export in the correct format: the final image is automatically exported as JPG with an sRGB profile, the right resolution and a weight optimised for Uber Eats, without you having to configure anything by hand.

The real workflow with artificial intelligence

1. You photograph the dish with your phone. It doesn't matter if the lighting isn't perfect or the background could be better.
2. You upload the image to FoodyFocus from the browser or the app.
3. In under 30 seconds you have the delivery-optimised version, ready to upload straight to Uber Eats.
4. In the same process you get versions for Instagram, the printed menu and your Google Maps profile with no extra work.

The concrete result: a small restaurant can have all its menu photos at the visual level of the big chains without a photo shoot, without lighting equipment and without image-editing knowledge.

Full optimisation of your Uber Eats profile beyond the photos

Photography is the most impactful element, but optimising your presence on Uber Eats involves more factors working together:

Product names that sell

The dish name appears next to the photo in the listing. A descriptive, evocative name converts better than a generic one. "Artisan burger with matured cheddar and caramelised onion" converts better than "Special burger". Include the standout ingredient or the cooking method that makes that dish special.

Descriptions that complete what the photo can't show

Use the description to add what the image doesn't convey: relevant allergens, spice level, vegan or gluten-free options, preparation time, or the special ingredient that sets your dish apart from the competition. Products with a description build more trust and reduce cancellations from unmet expectations.

The restaurant cover photo

Your venue's main image —the one that appears in the feed and in search results before the customer enters your menu— is what determines whether they click or not. Don't use the logo, the empty venue or a generic image. Use your most photogenic dish, the one that best sums up your offering, at the highest possible quality. It's the most important image of all the ones you have on Uber Eats.

Up-to-date prices and availability

An excellent photo of a dish that's no longer available, or with an out-of-date price, creates friction, cancellations and negative reviews. Keep the menu up to date with the same consistency with which you update the photos. Both elements are part of the same conversion strategy.

Real results: what you can expect when you optimise your Uber Eats photos

Based on the available delivery-platform data and on the results reported by restaurants that have completed the optimisation process, these are the improvement ranges you can expect:

• Order rate per product: dishes that go from having no photo to an optimised image see an increase of between 2x and 3x in orders received.
• Average order value: a 15-25% increase when the full menu has images, because customers discover and add dishes they previously ignored for lack of a visual reference.
• Position in the catalogue: a progressive improvement over weeks, as dishes with better photos accumulate conversion and the Uber Eats algorithm favours them in results.
• Average restaurant rating: restaurants with photos consistent with the real product have fewer disappointments and, in the long run, a better average score on the platform.

The payback time on a photography investment for Uber Eats —whether with a photographer or with AI tools— is usually measured in weeks, not months. The increase in orders on dishes with improved images quickly covers any investment made.

Complete checklist: before uploading any photo to Uber Eats

Use this list every time you prepare an image to upload to the platform:

• ☐ The image is a JPG or PNG file (not HEIC or WebP)
• ☐ The dimensions are at least 320 × 320 px (recommended 1,200 × 1,200 px)
• ☐ The file size is reasonable (ideally under 2-3 MB)
• ☐ The aspect ratio is 1:1 with the dish well centred
• ☐ The dish fills between 60% and 70% of the frame
• ☐ The background is clean, uniform or simple-textured
• ☐ The lighting is correct: neither dark nor blown out
• ☐ The dish is in focus (sharp on the main subject)
• ☐ There's no overlaid text, logos or watermarks
• ☐ The image faithfully matches the real product you serve
• ☐ It's not the same image you already use for another product
• ☐ The colour profile is sRGB

Frequently asked questions about Uber Eats photos

Does Uber Eats accept PNG photos or only JPG?

Uber Eats accepts both JPG and PNG. For food photography, JPG is the more practical option because it balances quality and file size. Keep PNG for images with flat graphics, which is rare in food photography. If you have the photo in HEIC (the iPhone default format), convert it to JPG before uploading.

Can I use stock photos for my products on Uber Eats?

It's not advisable. Uber Eats expects images to faithfully represent the product the customer will receive. If you use a stock photo of a perfect burger to represent yours, you expose yourself to negative reviews, complaints and possible penalties. The safest, most honest and most effective approach is always to use photos of your real product.

How long does Uber Eats take to approve a new photo?

On weekdays, the review usually resolves in a few hours or, at most, one business day. At weekends it can extend to 24-48 hours. For full catalogue uploads or bulk menu changes, up to 72 hours. Plan updates in advance if they coincide with important dates for your business.

Can I use the same photo for different variants of the same dish?

If the variants are genuinely similar (the same dish in two sizes, for example), it may be acceptable. But if they're dishes with different ingredients or presentations, having individual photos noticeably improves conversion and reduces customer confusion about exactly what they're ordering.

Do I need to remove the background from my photos for Uber Eats?

No. Uber Eats doesn't require transparent backgrounds. A good contextual background —wood, slate, marble, white— adds perceived quality and makes the dish more attractive. What you should avoid is a very cluttered background or one that visually distracts from the food.

Do photos affect ranking within Uber Eats?

Yes, indirectly but really. Uber Eats orders part of its catalogue according to each dish's conversion history. A dish with a good photo receives more orders, and more orders mean better organic positioning within the platform over time. The effect is cumulative.

How often should I update my menu photos on Uber Eats?

The permanent dishes on your menu don't need updating often once they're well photographed. Where you should be consistent is with daily specials, seasonal specials or new launches: every new product should have a photo from day one. A product without a photo is an invisible product on Uber Eats.

What do I do if Uber Eats rejects my photo without a clear reason?

Check the technical checklist: JPG or PNG, minimum 320 × 320 px, 1:1 ratio, no overlaid text. If you meet all the requirements and it's still rejected, the problem is usually content-related: the dish isn't clearly visible, the background is too dark, the lighting is insufficient, or the image seems not to represent a real product. Reshoot the photo applying this guide's composition and lighting recommendations, and try again.