The Complete Guide to
Delivery App Food Photography.
You already know better photos mean more orders. This guide isn't about that. It's about why most "improved" restaurant photos still underperform — because restaurants optimise to look nice, rather than to pass the specific scoring systems delivery platforms run before a customer ever sees your menu.
The Hidden Filter: Before the Customer Sees Your Photo
Most restaurant owners optimise for the human eye. The problem is that before a human sees your photo on UberEats or Deliveroo, an automated process has already assessed it. Delivery platforms use image quality scoring to determine which photos qualify for full-size display, prominent search placement, and featured slots.
The four criteria these systems evaluate automatically:
- Brightness and exposure. Images below a minimum luminosity score are deprioritised in search results — regardless of how appealing the food looks to the human eye.
- Sharpness. Motion blur or a missed focus point triggers an automatic quality flag. The platform limits how prominently it will display a soft image.
- Aspect ratio compliance. Photos that don't match a platform's required dimensions are auto-cropped — often removing the hero subject entirely.
- Background complexity. Cluttered backgrounds (kitchen surfaces, hands, cutlery) correlate with lower click-through rates. Platforms track CTR per listing and adjust search placement accordingly.
Most independent restaurants are failing at least two of these criteria on their current menus — without knowing it.
The Specification Trap
Most restaurants upload the same photo across all platforms. Because each platform requires a different aspect ratio, your image gets auto-cropped differently on each one — often slicing off the most visually compelling part of the dish.
Exact Specs by Platform
Each platform has its own image dimension requirements. Here is the technical baseline you need to meet before worrying about aesthetics:
| Platform | Minimum | Recommended | Format | Background |
|---|---|---|---|---|
| UberEats | 800×800px | 1200×1200px | JPG/PNG | White or neutral |
| Deliveroo | 800×533px | 1600×1067px | JPG | Light, uncluttered |
| DoorDash | 1080×810px | 1920×1440px | JPG | White preferred |
| Just Eat | 800×600px | 1200×900px | JPG | Clean, well-lit |
The Three Visual Signals That Drive Click-Through
Within the 3-second window a customer gives your listing before deciding to scroll past, visual psychology research points to three specific cues that trigger a tap:
1. Texture visibility. The brain evaluates "edibility" through micro-surface cues — crisp edges on fried food, glistening sauces, char marks, visible steam. Flat, directionless lighting removes all of these simultaneously. Flat-lit food fails the subconscious appetite test before the customer consciously registers why.
2. Colour temperature. Warm tones — oranges, golds, ambers — trigger appetite response. Blue-shifted or grey-cast photography reads as "cold" or "old." Commercial kitchen lighting produces exactly this cold cast when captured by a smartphone sensor.
3. Subject isolation. The hero dish must be the unambiguous dominant subject of the frame. Cluttered backgrounds, multiple dishes, or competing visual elements slow down processing. Slower processing equals a scroll-past.
Why Kitchen Lighting Fails All Three — At Once
A typical kitchen mixes warm tungsten heat lamps (~2700K) with cool fluorescent overheads (~5000K). A smartphone sensor cannot reconcile these. It defaults to a muddy compromise — too cool for the warm zones, too warm for the cool zones — producing a greenish cast, flattened shadows, and unpredictable bright spots on plates. This single root cause destroys texture visibility, colour temperature accuracy, and clean subject isolation simultaneously.
What a Platform-Ready Photo Actually Looks Like
Across all four major delivery platforms, the highest-performing menu photos share five characteristics:
- Subject fills 60–70% of the frame — dominant and clearly the purpose of the image, not centred with excessive empty space
- Warm colour palette — no blue or green cast; amber, gold, and natural food tones predominate
- Visible micro-texture at thumbnail size — the crisp, glossy, steaming, or charred quality reads even at 200×200px
- Clean background — white plate on a cream or white surface, or a dark board with no visible kitchen context
- One dish, one story — the hero item, not a platter of six things competing for attention
These are not aesthetic preferences. They are measurable characteristics of listings that consistently outperform their peers on click-through rate.
Can You Fix Existing Photos?
In most cases, yes — and it is often more effective than reshooting under the same poor kitchen conditions. If the dish was well-plated but the lighting failed the camera, the underlying information — the texture, the tonal depth, the colour — is still present in the image data. Post-production correction can recover it.
This is exactly what Dishori Studio does. We don't reshoot your food. We take the photos you've already taken and apply precision lighting corrections — recovering shadow detail, correcting colour temperature, restoring micro-contrast — producing a result that meets the technical specs and visual triggers every delivery platform rewards.
Your first image is corrected free. No credit card, no obligation. See what changes before you commit to anything.
Make your listing pass the test.
Upload your current delivery app hero image. We'll return it platform-optimised and fully corrected within 24 hours — free.
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