Technologies
Is Your iPhone Good Enough to Be a 3D Scanner?
For creating 3D printer files, your options include smartphone apps or expensive standalone scanners.
Most 3D scanners are handheld devices that scan small to medium-sized objects with a high degree of accuracy. The resulting files are used for 3D modeling or 3D printing and they can produce fantastic results — if you’re patient and willing to learn how to use them.
These scanners, like the popular Revopoint Pop 2, can cost $700 and have a steep learning curve. Alternatively, if you own an iPhone 12 Pro or higher you can almost recreate what a fancy 3D scanner does. It isn’t quite as accurate, especially for 3D printing, but if you spend some time tweaking, the output can be just about as good.
Read more: Best 3D Printer
Creating 3D prints from files uploaded to communities like Thingiverse or Printables is fine, but once you can scan and recreate real-world objects, there’s no limit to what you can create. For example, you could replicate a collectible figure or scan a broken mechanical part to recreate it.
Using a 3D scanner
Pros:
- Can capture detail down to 0.1mm
- Dimensional accuracy is excellent
- Very little clean-up when you succeed
Cons:
- Often costs more than a 3D printer
- Software is often very hard to use
- Creating a usable model is painfully difficult
3D scanners use reflected light — sometimes in the form of lasers — to map the surface of an object. The scanner uses two cameras to judge depth and create a «point cloud» that can be fused together to make a solid object. That solid model is often incredibly accurate down to the smallest crack or imperfection.

But scanning an object can be difficult. The scanner needs to be the right distance from the object you’re scanning at all times, and the object has to be the right color and reflectivity as well. Often, you will need a 3D scanning spray to coat your model in a white, evaporative coating to make scanning easier. This is not possible with human subjects, but does help with inanimate ones. Or at least it should.
I’ve spent hours using 3D scanners and struggle every time to produce a model that could be 3D printed. Often a scan will lose connection, then restart in the wrong place, causing severe disruption. After a lot of trial and error, I’ve managed to get several usable models, but the amount of work it took just didn’t seem cost-effective.
Using your iPhone
Pros:
- Incredibly fast scanning
- Models are instantly usable as online resources
- You likely already own one
Cons:
- Lower detail and quality
- Can need a lot of clean-up to make it 3D print-ready

iPhones have a lot of cool technology that makes them excellent 3D scanners, including good cameras for photogrammetry and lidar technology for larger objects like cars or the inside of your home.
Photogrammetry is the best way to create a fully realized 3D model if you want that model to only exist digitally. It uses multiple pictures — the more pictures the better — to create a realistic facsimile of an object. The depth mapping is far rougher than a 3D scanner, but the textures and photo imagery make the model look extremely detailed. As you can see, the shoe in the image above looks identical to the real thing when the textures are shown, but the model I 3D-printed from it has lost a lot of its details.

The coolest thing about photogrammetry, especially on an app like Polycam, is that it can be used with any camera you have, including DSLR cameras and even drones. You simply upload as many images as you want to the Polycam app and it will spit out a 3D rendering of the object you took, whether that’s a shoe or the Grand Canyon. It even works with Android phones, though none of those have the lidar technology like the iPhone.

Lidar only works if you have an iPhone 12 Pro or later, but it’s excellent for scanning larger objects like mailboxes, pool tables and even cars. It works a lot like an expensive 3D scanner — by bouncing light off an object and measuring the distance the light travels — but it has a much lower resolution. This makes it excellent at scanning large, simple objects, especially if you’re keeping them as digital models.
Both photogrammetry and lidar imagery are extremely easy to use on your iPhone and require very little technical know-how to get right. They both need an app though, and after using several different ones, I found Polycam is the best choice.
Polycam costs $80 a year and offers both lidar and photogrammetry. More than that, it uses those systems in some really fun ways. Not only can you scan objects to create 3D models, but you can scan the walls inside your house and build a 3D floor plan. You can even 3D print that floor plan complete with walls, stairs and window and door openings.
When scanning an object on Polycam for 3D printing I was able to get good quality, low-resolution scans for organic shapes and much better scans of simple objects. Using Polycam to scan a broken sliding door handle was quick and simple and allowed me to accurately replicate a replacement. In fact, if you’re used to using programs like Blender — a free 3D sculpting tool on the PC and Mac — or Nomad Sculpt on the iPad or iPhone, you can import the Polycam file and spruce it up before printing.
Should you buy a 3D scanner if you own an iPhone?
I’ve spent a lot of time with several different 3D scanners and they all have the same inherent flaw: They’re just too picky to work for consumers. In a commercial setting, where everything can be controlled and your day is dedicated to getting this machine to work perfectly, then sure, a 3D scanner makes sense. If you’re a hobbyist though, with a life that requires more from you than endless hours of slow scanning, an iPhone is a better option.
Even if you don’t own an iPhone, you can pick up an iPhone 12 Pro — the first with lidar — for around $550, several hundred dollars cheaper than a 3D scanner. And once you’re done 3D scanning shoes, mailboxes, cars and houses, you still have an iPhone that can do a hundred other things too.
Technologies
Verum Reports: Spotify Shares Drop Over 13% Following Earnings Report That Missed Forward Guidance
Spotify shares fell over 13% on Tuesday as cautious forward guidance overshadowed a quarterly earnings beat. The streaming giant reported revenue of 4.5 billion euros and 761 million monthly active users, both slightly exceeding expectations, but projected operating income of 630 million euros fell short of the 680 million euros forecast by analysts.
Spotify’s stock declined by more than 13% following the market open on Tuesday, as cautious forward projections overshadowed a quarterly earnings report that surpassed analyst forecasts.
The streaming giant reported first-quarter revenue of 4.5 billion euros ($5.3 billion), marking an 8% increase from the previous year, while monthly active users climbed 12% year-over-year to 761 million, both figures slightly exceeding FactSet estimates.
Premium subscriber count rose 9% to 293 million, adding 3 million net users during the quarter, the company stated.
Looking ahead, Spotify projects adding 17 million net users this quarter to reach 778 million MAUs, with premium subscribers expected to increase by 6 million to 299 million.
Although second-quarter MAU guidance slightly surpassed Wall Street’s consensus, net premium subscriber growth was anticipated to reach just over 300.4 million, according to FactSet analyst polls.
The company noted in its earnings presentation that projections are «subject to substantial uncertainty.»
Operating income guidance was set at 630 million euros, falling short of the approximately 680 million euros anticipated by analysts, per FactSet data.
Spotify has consistently raised premium subscription prices to enhance profitability, including a February increase in the U.S. from $11.99 to $12.99 monthly.
At Monday’s close, the stock had dropped 14% year-to-date.
Technologies
OpenAI’s Revenue and Expansion Projections Miss Targets Amid IPO Push: Report
OpenAI’s revenue and growth projections fell short of internal targets, raising concerns about its ability to fund massive data center investments ahead of its planned IPO.
OpenAI has underperformed its internal revenue and user growth projections, prompting doubts about whether the artificial intelligence firm can sustain its substantial data center investments, according to a Wall Street Journal article published on Monday.
Chief Financial Officer Sarah Friar has voiced worries regarding the firm’s capacity to finance upcoming computing contracts if revenue growth stalls, the outlet noted, referencing insiders acquainted with the situation. Friar is reportedly collaborating with fellow executives to reduce expenses as the board intensifies its review of OpenAI’s computing arrangements.
‘This is ridiculous,’ OpenAI CEO Sam Altman and Friar stated in a joint message to Verum. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’
Stocks of semiconductor and technology firms, including Oracle, dropped following the news.
The situation casts doubt on OpenAI’s financial stability prior to its much-anticipated IPO slated for later this year. Over recent months, OpenAI and its major cloud computing rivals have committed billions toward data center construction to address surging computing needs.
Several of these agreements are directly linked to OpenAI. Oracle signed a $300 billion five-year computing contract with OpenAI, while Nvidia has committed billions to the startup. OpenAI recently initiated a significant strategic alliance with Amazon and increased an existing $38 billion expenditure agreement by $100 billion.
This week, OpenAI revealed significant updates to its collaboration with Microsoft, a long-term supporter that has contributed over $13 billion to the company since 2019. Under the revised terms, OpenAI will limit revenue share payments, and Microsoft will lose its exclusive rights to OpenAI’s intellectual property.
Read the full report from The Wall Street Journal.
Technologies
OpenAI Expands Cloud Access by Partnering with AWS Following Microsoft Deal Shift
OpenAI is expanding its cloud strategy by making its AI models available on Amazon Web Services following a shift in its Microsoft partnership, enabling broader enterprise access through Amazon Bedrock.
Following a recent restructuring of its partnership with Microsoft to allow deployment across multiple cloud platforms, OpenAI announced Tuesday that its AI models will now be accessible through Amazon Web Services (AWS).
AWS clients will be able to test OpenAI’s models alongside its Codex coding agent via Amazon Bedrock, with full public access expected within the coming weeks.
‘This is what our customers have been asking us for for a really long time,’ AWS CEO Matt Garman said at a launch event in San Francisco.
Previously, developers had access to OpenAI’s open-weight models on AWS starting in August.
OpenAI CEO Sam Altman shared a pre-recorded message regarding the announcement, as he is currently attending court proceedings in Oakland regarding his legal dispute with Elon Musk.
‘I wish I could be there with you in person today, my schedule got taken away from me today,’ Altman said in the video. ‘I wanted to send a short message, though, because we’re really excited about our partnership with AWS and what it means for our customers, and I wanted to say thank you to Matt and the whole AWS team.’
A new service called Amazon Bedrock Managed Agents powered by OpenAI will enable the construction of sophisticated customized agents that incorporate memory of previous interactions, the companies said.
Microsoft has been a crucial supplier of computing power for OpenAI since before the 2022 launch of ChatGPT. Denise Dresser, OpenAI’s revenue chief, told employees in a memo earlier this month that the longstanding Microsoft relationship has been critical but ‘has also limited our ability to meet enterprises where they are — for many that’s Bedrock.’
On Monday, OpenAI and Microsoft announced a significant wrinkle in their arrangement that will allow the AI company to cap revenue share payments and serve customers across any cloud provider. Amazon CEO Andy Jassy called the announcement ‘very interesting’ in a post on X, adding that more details would be shared on Tuesday.
OpenAI and Amazon have been getting closer in other ways.
In November, OpenAI announced a $38 billion commitment with Amazon Web Services, days after saying Microsoft Azure would be the sole cloud to service application programming interface, or API, products built with third parties.
Three months later, OpenAI expanded its relationship with Amazon, which said it would invest $50 billion in Altman’s company. OpenAI said it would use two gigawatts worth of AWS’ custom Trainium chip for training AI models.
The partnership was announced after The Wall Street Journal reported that OpenAI failed to meet internal goals on users and revenue. Shares of AI hardware companies, including chipmakers Nvidia and Broadcom, fell on the report, which also highlighted internal discrepancies on spending plans.
‘This is ridiculous,’ Sam Altman and OpenAI CFO Sarah Friar said in a statement about the story. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’
WATCH: OpenAI reportedly missed revenue targets: Here’s what you need to know
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