I Tried the Best Captioning Smart Glasses, and Only One Leads the PackUnlike the other glasses I tested, Even doesn’t sell a subscription plan; everything’s included out of the box.
The only downside I could find with the G2 is that it is largely devoid of offline features, so the glasses have to be connected to the internet to do much of anything. Considering the G2’s capabilities, it’s a trade-off I am more than happy to make.
Other Captioning Glasses I Tested
There are plenty of capable captioning eyeglasses on the market, but they are surprisingly similar in both looks and features. While many are quite capable, none had the combination of power and affordability that I got with Even’s G2. Here’s a rundown of everything else I tested.
Leion’s Hey 2 is the price leader in this market, and even its prescription lenses ($90 to $299) are pretty affordable. The hardware, however, is heavy: 50 grams without lenses, 60 grams with them. A full charge gets you six to eight hours of operation; the case adds juice for up to 12 recharges.
I like the Leion interface, which lays out caption, translation, “free talk” (two-way translation), and a teleprompter feature on its clean app. You get access to nine languages; using Pro minutes expands that to 143. Leion sells its premium plan by the minute, not the month, so you need to remember to toggle this mode off when you don’t need it. Pricing is $10 for 120 minutes, $50 for 1,200 minutes, and $200 for 6,000 minutes. There’s no offline use supported, and I often struggled to get AI summaries to show up in English instead of Chinese (regardless of the recorded language).
You’re not seeing double: XRAI and Leion use the same manufacturer for their hardware, and the glasses weigh the same. The battery spec is also similar, with up to eight hours on the frames and another 96 hours when recharging with the case. XRAI claims its display is significantly brighter than competitors’, but I didn’t see much of a difference in day-to-day use.
The features and user experience are roughly the same, though Leion’s teleprompter feature isn’t implemented in XRAI’s app, and it doesn’t offer AI summaries of conversations. I also didn’t find XRAI’s app as user-friendly as Leion’s version, particularly when trying to switch among the admittedly exhaustive 300 language options. Only 20 of these are included without ponying up for a Pro subscription, which is sold both by the month and minute: $20/month gets you a max of 600 upgraded transcription minutes and 300 translation minutes; $40/month gets you 1,800 and 1,200 minutes, respectively. On the plus side, XRAI does have a rudimentary offline mode that works better than most. For prescription lenses, add $140 to $170.
AirCaps does not make its own prescription lenses. Instead, you must purchase a pair of $39 “lens holders” and take them to an optician if you want prescription inserts. I was unable to test these with prescription lenses and ultimately had to try them out over my regular glasses, which worked well enough for short-term testing. Frames weigh a hefty 53 grams without add-on lenses; the company couldn’t tell me how much extra weight prescription lenses would add to that, but it’s safe to say these are the bulkiest and heaviest captioning glasses on the market. Despite the weight, they only carry two to four hours of battery life, with 10 or so recharges packed into the comically large case. Another option is to clip one of AirCaps’ rechargeable 13-gram Power Capsules ($79 for two) to one of the arms, which can provide 12 to 18 extra hours of juice.
The AirCaps feature list and interface make it perhaps the simplest of all these devices, with just a single button to start and stop recording. Transcriptions and translations are available for free in nine languages. For $20/month, you can add the Pro package, which offers better accuracy, access to more than 60 languages, and the option to generate AI summaries on demand (though only if recordings are long enough). As a bonus: Five hours of Pro features are free each month. Offline mode works pretty well, too. The only bad news is that these bulky frames just aren’t comfortable enough for long-term wear.
The most expensive option on the market (up to $1,399 with prescription lenses!) weighs a relatively svelte 40 grams (52 grams with lenses) and offers about four hours of battery life. There’s no charging case; the glasses must be charged directly using the included USB-connected dongle.
The glasses are extremely simple, offering transcription and translation features—with support for about 80 languages, which is impressive. I unfortunately found the prescription lenses Captify sent to be the blurriest of the bunch, making the captions comparatively hard to read. And while the device supports offline transcription, performance suffered badly when disconnected from the internet. I couldn’t get translations to work at all when offline. For $15/month, you get better accuracy and speaker differentiation, and access to AI summaries of conversations. Prescription lenses cost between $99 and $600.
#Captioning #Smart #Glasses #Leads #Packbuying guides,shopping,smart glasses,eyewear,health,augmented reality,accessibility
Unlike the other glasses I tested, Even doesn’t sell a subscription plan; everything’s included out of the box.
The only downside I could find with the G2 is that it is largely devoid of offline features, so the glasses have to be connected to the internet to do much of anything. Considering the G2’s capabilities, it’s a trade-off I am more than happy to make.
Other Captioning Glasses I Tested
There are plenty of capable captioning eyeglasses on the market, but they are surprisingly similar in both looks and features. While many are quite capable, none had the combination of power and affordability that I got with Even’s G2. Here’s a rundown of everything else I tested.
Leion’s Hey 2 is the price leader in this market, and even its prescription lenses ($90 to $299) are pretty affordable. The hardware, however, is heavy: 50 grams without lenses, 60 grams with them. A full charge gets you six to eight hours of operation; the case adds juice for up to 12 recharges.
I like the Leion interface, which lays out caption, translation, “free talk” (two-way translation), and a teleprompter feature on its clean app. You get access to nine languages; using Pro minutes expands that to 143. Leion sells its premium plan by the minute, not the month, so you need to remember to toggle this mode off when you don’t need it. Pricing is $10 for 120 minutes, $50 for 1,200 minutes, and $200 for 6,000 minutes. There’s no offline use supported, and I often struggled to get AI summaries to show up in English instead of Chinese (regardless of the recorded language).
You’re not seeing double: XRAI and Leion use the same manufacturer for their hardware, and the glasses weigh the same. The battery spec is also similar, with up to eight hours on the frames and another 96 hours when recharging with the case. XRAI claims its display is significantly brighter than competitors’, but I didn’t see much of a difference in day-to-day use.
The features and user experience are roughly the same, though Leion’s teleprompter feature isn’t implemented in XRAI’s app, and it doesn’t offer AI summaries of conversations. I also didn’t find XRAI’s app as user-friendly as Leion’s version, particularly when trying to switch among the admittedly exhaustive 300 language options. Only 20 of these are included without ponying up for a Pro subscription, which is sold both by the month and minute: $20/month gets you a max of 600 upgraded transcription minutes and 300 translation minutes; $40/month gets you 1,800 and 1,200 minutes, respectively. On the plus side, XRAI does have a rudimentary offline mode that works better than most. For prescription lenses, add $140 to $170.
AirCaps does not make its own prescription lenses. Instead, you must purchase a pair of $39 “lens holders” and take them to an optician if you want prescription inserts. I was unable to test these with prescription lenses and ultimately had to try them out over my regular glasses, which worked well enough for short-term testing. Frames weigh a hefty 53 grams without add-on lenses; the company couldn’t tell me how much extra weight prescription lenses would add to that, but it’s safe to say these are the bulkiest and heaviest captioning glasses on the market. Despite the weight, they only carry two to four hours of battery life, with 10 or so recharges packed into the comically large case. Another option is to clip one of AirCaps’ rechargeable 13-gram Power Capsules ($79 for two) to one of the arms, which can provide 12 to 18 extra hours of juice.
The AirCaps feature list and interface make it perhaps the simplest of all these devices, with just a single button to start and stop recording. Transcriptions and translations are available for free in nine languages. For $20/month, you can add the Pro package, which offers better accuracy, access to more than 60 languages, and the option to generate AI summaries on demand (though only if recordings are long enough). As a bonus: Five hours of Pro features are free each month. Offline mode works pretty well, too. The only bad news is that these bulky frames just aren’t comfortable enough for long-term wear.
The most expensive option on the market (up to $1,399 with prescription lenses!) weighs a relatively svelte 40 grams (52 grams with lenses) and offers about four hours of battery life. There’s no charging case; the glasses must be charged directly using the included USB-connected dongle.
The glasses are extremely simple, offering transcription and translation features—with support for about 80 languages, which is impressive. I unfortunately found the prescription lenses Captify sent to be the blurriest of the bunch, making the captions comparatively hard to read. And while the device supports offline transcription, performance suffered badly when disconnected from the internet. I couldn’t get translations to work at all when offline. For $15/month, you get better accuracy and speaker differentiation, and access to AI summaries of conversations. Prescription lenses cost between $99 and $600.









![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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