If you can choose the phone, a Pro iPhone is the better 3D scanner, because its LiDAR Scanner measures depth directly, while Google's ARCore device list notes no hardware depth sensor on any current Galaxy S or Pixel model. A standard iPhone and an Android phone are on equal footing: both build scans from camera images alone, and for small, textured objects the result depends far more on light, overlap and technique than on the operating system.
The LiDAR advantage shows up mainly in three jobs: rooms, measurements and plain, low-texture objects. For textured products, parts and parcels, the phone you already own can do the work.
What actually differs between an iPhone and an Android phone for 3D scanning?
The operating system is not the real dividing line. The dividing line is whether the phone has a hardware depth sensor on the back.
Apple fits a LiDAR Scanner to its Pro models. The iPhone 18 Pro technical specifications list "LiDAR Scanner" under Sensors, next to Face ID and the barometer. The standard iPhone 17 specifications list Face ID, a barometer, a gyro, an accelerometer, a proximity sensor and ambient light sensors, and no LiDAR. So "scanning with an iPhone" means two different things depending on which iPhone is in your hand.
On Android, depth for scanning and AR mostly comes from software. Google's ARCore Depth API uses a depth-from-motion algorithm (documentation last updated on 4 September 2026): as you move the phone, it takes several images from different angles and compares them to estimate the distance to every pixel. A hardware time-of-flight (ToF) sensor is optional; where a phone has one, ARCore merges its data in. In Google's list of ARCore supported devices, the ToF flag appears only on a small group of models such as the Galaxy S10 5G, Galaxy Note10+, Galaxy S20+, Galaxy S20 Ultra 5G, LG V60 ThinQ and Sharp AQUOS R5G. The Galaxy S26 and Pixel 11 ranges are listed as supporting the Depth API, with no hardware depth sensor noted.
That gives three practical groups:
| Pro iPhone | Standard iPhone | Android phone | |
|---|---|---|---|
| Where depth comes from | LiDAR Scanner plus camera images | Camera images | Camera images, through ARCore depth-from-motion; a ToF sensor on a few older models |
| Plain, low-texture objects | LiDAR depth fills in surfaces with little texture | Needs a textured background | Needs a textured background |
| Rooms and large spaces | Distance measured by the sensor as you walk | Built from photo overlap and movement | Built from photo overlap and movement |
| Small, detailed objects | Decided mostly by camera, light and technique | Decided mostly by camera, light and technique | Decided mostly by camera, light and technique |
| Shiny, transparent, very thin parts | Still difficult | Difficult | Difficult |
Where does an iPhone with LiDAR give better scans?
Three situations show the gap clearly.
Plain, low-texture objects. Photogrammetry works by finding matching points between photos, so a white chair seat or a grey plastic housing gives it very little to match. Apple addressed this in its WWDC23 session Meet Object Capture for iOS: alongside the photos, the API collects LiDAR point cloud data, which lets it reconstruct low-texture objects that it could not complete from images alone. Apple lists Object Capture for iOS as available on iPhone 12 Pro, iPad Pro 2021 and later models, and the reconstruction runs on the device itself.
Rooms, interiors and large items. When you walk through a room with a camera-only phone, the software has to infer depth from how the scene shifts between frames. A LiDAR phone measures the distance to walls and furniture as you go, so scale and geometry arrive with less guesswork. If your main work is floor plans, furniture or room dimensions, this is where a Pro iPhone makes the biggest difference. Our guide on how to measure furniture with an iPhone 3D scan walks through that workflow.
Measurements you will act on. A camera-only scan has to work out real-world scale from motion; a depth sensor gives it a measured reference. That does not make a LiDAR scan exact, but it removes one source of drift. The habits that matter more than the hardware, such as a reference object and repeat measurements, are covered in how to get accurate measurements from a 3D scan.
How good is an Android phone for 3D scanning without a depth sensor?
Good enough for textured products, parts and parcels, as long as you work with its method rather than against it.
Google's documentation says the depth-from-motion algorithm can estimate depth from 0 to 65 meters, with the most accurate results between half a meter and about five meters from the scene, and that experiences which get the user to move the device more produce better results. Two practical rules follow: keep the object within that close range, and move in smooth arcs instead of standing still and turning the phone.
Support is broad. According to Google's ARCore device list, as of May 2026 over 88% of active devices support the Depth API. There are two caveats. Depth is only offered on devices with enough processing power, and each app has to switch it on, so a phone being on the list does not guarantee that a particular scanning app uses depth on it.
Photo-based capture (photogrammetry) does not need a depth sensor at all. It needs sharp, well-lit, overlapping photos of surfaces with visible texture, and a good Android camera can deliver those. On textured objects such as shoes, carved wood, stone or boxes with printed labels, the person holding the phone usually makes a larger difference than the platform. The same applies to a standard iPhone; our article on how to 3D scan without LiDAR on an iPhone covers the photo-based technique step by step, and it carries over to Android almost unchanged.
Which phone should you use for your kind of scan?
Match the phone to the job rather than to brand loyalty:
- Rooms, interiors, floor plans, furniture: a Pro iPhone. The depth sensor is the biggest advantage here.
- Plain, untextured parts such as white plastic or painted panels: a Pro iPhone, or any phone with a textured surface behind and under the object. Apple's own advice for mostly textureless objects is to put them against a textured background where they can stand out.
- Boxes and parcels for logistics: either platform. Scan a box of known size first and compare the result with a tape measure; if the difference matters for your shipping costs, use the phone that passes that test.
- Small, detailed products for e-commerce or 3D printing: either platform. Lighting, focus and the number of overlapping photos decide the result more than the depth sensor.
- Shiny, black or transparent objects: neither phone solves this alone. Even with LiDAR in the loop, Apple advises avoiding objects that are reflective, transparent or contain very thin structures; see our notes on scanning shiny, black or transparent objects for the workarounds.
- A mixed team with both iPhones and Android phones: pick one app that runs on both platforms, so everyone scans, measures and exports the same way. MagiScan is one option for this: it is an iPhone and Android app that turns the phone into a 3D scanner and measuring tool and exports scans for 3D printing, AR and e-commerce.
What mistakes cost more quality than the choice of phone?
Most poor phone scans are not caused by the platform. These are the mistakes that show up on every phone:
- Moving too fast. Motion blur ruins the frames that both LiDAR-assisted and camera-only scanning rely on. Slow down, especially indoors in dim light.
- Standing still and rotating the phone. Depth from motion needs the camera to change position, not just direction. Walk around the object in a steady circle.
- Plain objects on plain surfaces. A white part on a white table gives the software nothing to lock onto. Put a patterned mat, newspaper or textured cloth underneath.
- Assuming the feature is there. Check whether your iPhone is a Pro model with LiDAR before relying on room scanning or low-texture capture, and check Google's list before relying on depth on Android. Apple also offers an API that lets apps check whether a device supports Object Capture, so a missing option in an app may simply mean your phone is not supported.
- Expecting a sensor to fix a bad surface. LiDAR does not make glass, chrome or gloss black reliably scannable. Dull the surface first or accept a cleanup step afterwards.
So which should you choose?
If you are buying a phone mainly to scan rooms, furniture or plain objects, choose a Pro iPhone: its LiDAR Scanner is a hardware depth sensor that Google's ARCore list does not note on any current Galaxy S or Pixel model. If you already own an Android phone or a standard iPhone, you do not need to switch to scan products, parts or parcels. Use photo-based capture, move steadily, light the object evenly and give plain surfaces some texture.
The phone sets the ceiling for some jobs; your technique decides how close you get to it. And because MagiScan works on both iPhone and Android, the phone you already carry is enough to start scanning and measuring.
Frequently Asked Questions
Do any Android phones have a depth sensor like the iPhone Pro's LiDAR?
Some older Android models had a time-of-flight depth sensor, which also measures distance by timing light; Google's ARCore list flags it on phones such as the Galaxy S20 Ultra 5G, Galaxy Note10+ and LG V60 ThinQ. Current Galaxy S and Pixel models on the same list support ARCore depth through software, with no hardware depth sensor noted.
Can a standard iPhone without LiDAR make good 3D scans?
Yes, with photo-based capture. The iPhone 17's sensor list has no LiDAR Scanner, so it relies on overlapping photos, as most Android phones do. Textured objects scan well this way, while plain ones need a patterned background.
Is LiDAR more accurate for measuring objects?
It gives the scan a measured depth reference instead of one inferred from motion, which helps with scale and with flat, plain surfaces. It does not guarantee exact dimensions, so check the scan against one known measurement before you rely on it for cutting, packing or ordering.
Which phone is better for scanning shiny or transparent objects?
Neither has a real advantage. Apple advises avoiding reflective, transparent and very thin objects even with its LiDAR-assisted Object Capture, and camera-only scanning on Android struggles with the same surfaces. Dull the surface with a removable matte coating before you scan.