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Best Webcams From 1080p to 4K for 2023

Low-res 720p (sometimes even 1080p) webcams just don’t cut it anymore. These top 1080p and 4K webcams are perfect for meetings, videoconferencing, streaming and more.

Webcams are no longer only used by business professionals and streamers. Almost everyone has a use for one. Most laptops have built-in webcams, though the camera quality can be poor. If you want to look good at work, at school or at play, a high-quality camera can be a necessity. And there are a ton of great webcam choices for every budget.

It’s not that difficult to find a decent external webcam model: Market-leader Logitech makes many of the most popular name-brand models on the market — notably the $60 C920x and basic, education-focused $25 C270 — and you probably won’t go wrong picking one that falls within your budget. Once you venture beyond known brands, you can get lost in a sea of commodity models.

Improving your environment with good lighting or a better angle can frequently enhance the quality of your webcam video more than upgrading the camera itself. Keep in mind, however, that even then the best webcam won’t necessarily deliver great video and audio quality on the other end — that can depend upon the consistency and quality of your network connection.

It depends upon your software as well — especially videoconferencing software, which tends to aggressively process the video for smoother and more consistent transmission over the network rather than looking good.

I’m continually testing new models, and here are my suggestions for the best webcam for your needs and budget. I’ll update this list regularly with more advice and picks as I test them, so stay tuned. And for more advice, scroll down below our recommendations — and check out all the best webcam deals here.

Former favorites

These previous top picks have lost out to newer, shinier models, but that doesn’t mean they’re not still recommendable.

Other notable webcams I’ve tested

Which webcam specs are important?

You don’t need to worry about getting overcome by specifications. Frame rate (30 or 60 frames per second), resolution (720p, 1080p or 4K) and microphone (mono or stereo) are about it. That doesn’t mean they don’t really differ. Some are better than others in less tangible ways, such as how well the automatic exposure, white balance or focus works. Those tend to be what differentiate the just-OK cheaper webcams from better, more expensive ones with higher resolution or faster frame rates.

If you have nothing now, then anything’s a step up. Most affordable laptops tend to still offer 720p webcams, though that’s changing rapidly, while most of the stand-alone webcam models on the market are 1080p (aka FHD). The latter usually has video quality that looks much better than the former, since the greater number of pixels makes your image look sharper for your video calls, video conferencing and live streaming. And because you can put a webcam on a tabletop tripod or perch it higher than the built-in webcam on a laptop, you can bring it closer to eye level which is much more flattering than the from-below-view most laptop webcams deliver.

Though it’s tempting to dismiss 4K models as unnecessary, they are better — you look much better zoomed in, for one thing, and even when 4K is scaled to 1080p, it can look sharper than a basic 1080p webcam. Keep in mind that you’re still at the mercy of your meeting software, which can take a good image and make it look…less good…by compressing the hell out of it for transmitting across the software’s low-bandwidth pipeline.

One thing to consider when buying a webcam for a Mac is that there are no controls built into the operating system. If you want to adjust exposure, zoom, white balance — anything really — then the support needs to be built into the specific application or into a utility that comes with the camera. Unfortunately, few manufacturers offer MacOS-compatible utilities; the Elgato FaceCam is a notable exception.

If you need to zoom in to better frame yourself without looking soft, crunchy or blocky or to demonstrate physical objects, think about jumping to 4K. You can also use your phone or a DSLR camera (if you have one) as a makeshift webcam with an app or utility from the camera manufacturer. The software which allows you to use a digital camera as a webcam frequently caps the resolution at 1,920×1,080, but you may get better zoom results than from a webcam.

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Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Technologies

Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Technologies

Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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