
Pixel 10's new trick makes photo editing as easy as typing
You can simply type prompts like 'remove reflections' or 'fix the lighting' to edit your pictures using AI.
The tool can handle multiple edits at once and lets you compare changes to the original photo.
Photo editing on the Pixel 10 series is getting a whole lot easier thanks to AI. Google is introducing a new feature in Google Photos called 'Ask Photos,' which lets you edit pictures simply by typing in prompts about what you want to change.
For example, you can type something like 'remove the reflections on the window' or 'fix the lighting in this picture,' and the feature will automatically make the edits for you. You can even ask for multiple changes in one prompt, such as 'remove the glare, brighten the photo, and add clouds to the sky.'
Don't want to miss the best from Android Authority? Set us as a preferred source in Google Search to support us and make sure you never miss our latest exclusive reports, expert analysis, and much more.
Ask Photos will appear as a new 'Help me edit' box inside the photo editor. You can type your prompt or pick from the AI-suggested edits here. Once the changes are made, you can compare them with the original photo and regenerate new edits if you are not happy with the AI-made changes.
Besides Ask Photos, Google is also debuting other cool photography features on the new flagships, including Auto Best Take, Camera Coach, and more.
Google Pixel 10
Google Pixel 10
Very promising battery specs • 6.3-inch display • Loaded with Google AI features
MSRP: $799.00
Baseline excellence.
The Google Pixel 10 is the 6.3-inch base model of the in-house Android phones from Google. With plenty of high-speed storage options, a good amount of RAM, and the all-new Tensor G5 processor, it should blow through your mobile computing tasks with ease. A triple camera system includes standalone ultrawide and telephoto lenses, and a 50MP main sensor.
See price at Amazon
Google Pixel 10 Pro
Google Pixel 10 Pro
Top-tier specs with small display • Satellite SOS • Powerful AI tools • Bright display
MSRP: $999.00
More power in the smaller form-factor
The Google Pixel 10 Pro marks a new trend. As the medium model in the Pixel 10 line, it offers top-tier specifications with the smaller 6.3-inch display. Diverging from previous Pixel series' trend of the medium phone being a large display with low-tier specs. We're excited for the Tensor G5 chipset, high-resolution display, UFS 4.0 storage options, big 16GB of RAM, and the AI-powered triple camera setup with 50MP main sensor.
See price at Amazon
Google Pixel 10 Pro XL
Google Pixel 10 Pro XL
Biggest non-folding Pixel phone • Best specs and AI features
MSRP: $1,199.00
Ultimate power from the Pixel 10 line
The most powerful option from the Pixel 10 line is the Google Pixel 10 Pro XL. With a 6.8-inch display, Tensor G5 shipset, 16GB of RAM, UFS 4.0 storage options, a powerful triple camera setup, and a battery in excess of 5,000mAh, you should be able to power through any task in your day.
See price at Amazon
Google Pixel 10 Pro Fold
Google Pixel 10 Pro Fold
Top-tier specs • IP68 rating • 6.4-inch outer and 8-inch inner displays
MSRP: $1,799.00
Thinner, more powerful, and a bigger display
The Google Pixel 10 Pro Fold combines a 6.4-inch front display with a folding 8-inch inner panel for two capable viewing experiences. With the Tensor G5 shipset, 16GB of RAM, and lots of UFS 4.0 storage options, it matches the Pixel 10 Pro XL in terms of specifications and performance. The folding phone also offers a triple camera setup, plenty of powerful AI features, wireless charging, and an IP68 rating.
See price at Amazon
Follow
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Android Authority
an hour ago
- Android Authority
Google finally lets you customize icon shapes on your Pixel's home screen
Mishaal Rahman / Android Authority TL;DR You can now customize icon shapes on your Pixel Launcher's home screen. Android will give you five options. Including the default circle, there's square, four-sided cookie, seven-sided cookie, and arch. These options are currently only available in the August 2025 Android Canary release, but we expect it won't be long before they make their way into the QPR2 track. Hot off the heels of the Pixel 10 launch, Google unveiled a new Android Canary release. The August 2025 Android Canary update rolled out today to users enrolled in the Canary program, and it finally brings a long-awaited personalization option: the ability to customize icon shapes on the home screen. While the new version doesn't let you create your own icon shape, it does let you choose from five delightful presets, one of which will definitely suit your fancy. Don't want to miss the best from Android Authority? Set us as a preferred source in Google Search to support us and make sure you never miss our latest exclusive reports, expert analysis, and much more. After installing the latest Canary release and opening the Wallpaper & Style app, developer Kieron Quinn noticed that the 'Icons' menu had changed. Instead of only having a toggle to enable icon theming, the 'Icons' menu now has several icon shape options. These include the default circle shape as well as new square, four-sided cookie, seven-sided cookie, and arch options. Mishaal Rahman / Android Authority Interestingly, the sixth 'complex clover' shape that we spotted back in March is missing from this page. We're not sure why that shape was removed, but perhaps it clashed too heavily with certain icons. Another thing missing from this build is the new forced icon theming feature that Google added in Android 16 QPR2 Beta 1. It's not clear why, but we suspect this is merely a quirk of the build date and release structure of the latest Canary versus the latest QPR beta. The next Canary release may add the forced theming feature, while the next QPR2 beta is likely to gain these new icon shape options, though nothing is guaranteed. We'll keep an eye out on both release tracks to see what happens with this feature as well as Google's other upcoming icon customization options. Follow


Forbes
an hour ago
- Forbes
Generative Engine Optimization, GEO, A Playbook For Online Retailers
Google's search loosing relevance for e-commerce, and Amazon's homepage is losing traffic. The future belongs to AI assistants like ChatGPT, Claude, and Perplexity. For brands to stay visible, they must embrace Generative Engine Optimization (GEO) also called LLMO, or AEO. Content is still king — but the rules have changed. Yesterday, shoppers browsed; today, they ask. Instead of scrolling through endless menus or filtering product grids, consumers now turn to AI assistants — and the answers drive their purchases. A new front door to retail has opened, but it no longer belongs to the retailer or Google or Amazon. It belongs to ChatGPT, Claude, Gemini, and Perplexity. And for retailers, the stakes couldn't be higher. The End Of The Homepage Just as media outlets once lost homepage traffic to Google and Facebook, retailers are now facing the same shift — only faster. Consumers aren't browsing your carefully designed website anymore; they're asking AI assistants. 'Best outdoor jacket near me' is no longer the query. Instead, someone might ask: ChatGPT responds with: Claude, meanwhile, suggests: Claude or ChatGPT have the power to say what will be found, a position formerly only Google had. It's not hard to understand why I wrote earlier this year about e-commerce unbundling. But where are Mammut, Columbia, or The North Face? These brands have quality products, yet they're absent. The reason? Training data. Models surface answers based on the content they've been exposed to. Patagonia, REI, and Helium have done a better job supplying structured, high-quality information to AI systems. If your brand isn't present in AI answers, you're effectively invisible. GEO > SEO — Generative Engine Optimization Takes Over How to get noticed in this new e-commerce order? Content, Content, Content. But, the old SEO playbook — keywords, backlinks, and blogspam — won't work. AI assistants don't crawl for short-form content. They rely on authentic, Q&A-rich, structured data that helps them understand and contextualize answers. Enter Generative Engine Optimization (GEO), also known as Answer Engine Optimization (AEO) or Large Language Model Optimization (LLMO). The rules have changed: AI-driven traffic is still small in volume—but its impact is outsized. Studies show that traffic originating from LLMs converts up to 9x better than other channels. Why? Because recommendations feel personal, contextual, and trustworthy. One example stands out: a consumer uploaded their blood results into ChatGPT and immediately purchased €200 worth of vitamins—no browsing, no comparison, pure trust. And timing matters. Soon, most large language models will introduce paid placement channels. Brands mentioned organically today will enjoy a lasting competitive advantage tomorrow. The window to secure this advantage is now. For two decades, I've built data and monitoring tools—and I've seen this movie before. In the early days of social media, brands obsessively measured mentions without asking the deeper question: what exactly should we measure? Take the jacket example again. If a user specifically asks, 'What's the lightest jacket on the market?' the answer might be the Montbell Versalite. But do users ask those hyper-specific questions. We don't know and OpenAI or Google will not tell us. The challenge for brands is therefore to predict what users will be looking for. One thing is for sure, it wont be the marketing copy the company put out. Rather one should be tapping into Just don't run and start to monitor your brand but rather try to understand the best set of questions to monitor. Training LLMs is expensive—Elon Musk recently revealed he spends $1 billion per month on training xAI. Models won't index every piece of content; they prioritize information that is authentic, novel, and trusted. Your goal isn't just to be searchable. Over are the times where 'keywords' were all you need to do. You need to the models who you are so you become part of their default answer set. The New Generative Engine Optimization Playbook for Brands Until AI assistants open up fully to paid placement, organic visibility depends on creating content designed for LLMs to learn from as I outlined in this Forbes article The homepage isn't dying — it's obsolete. The battle for discovery has shifted to AI assistants, and the winners will be the brands that learn to optimize for answers, not clicks. The future of retail belongs to those brands who have a unique story to tell. As I said more than once 'The future is Indie'. Agree? Disagree? Have a different take? I've posted the Forbes article here on LinkedIn — add your thoughts in the comments and let's discuss.
Yahoo
2 hours ago
- Yahoo
Needham Reiterates Buy on monday.com (MNDY), Sets $250 Price Targe
Ltd. (NASDAQ:MNDY) is one of the . On August 18, Needham analyst Scott Berg reiterated a Buy rating and $250.00 price target on the stock. The firm revealed how its post 3Q investor call with the company's VP of IR Byron Stephen and IR Manager Paige Newman helped gain clarity on Monday's performance marketing shortfall. It also helped explain how their reliance on Google should further reduce moving forward. The firm believes that Google pricing change will result in a small but minor near-term impact. This may force the company to reduce its mid-term growth target from 30% to 25% at its September investor day. However, the company's overall dependence on Google has decreased and now represents less than 30% of net customer additions. Moreover, self-service sales have also decreased to 40% of total sales. This reveals how the company is shifting toward larger, higher-quality deals in upmarket segments. SFIO CRACHO/ 'We came away believing this Google pricing change will have a small, but minor near-term impact which we expect will force MNDY to reduce its 30% mid-term growth target down to 25% at its Sept. investor day. Google now represents <30% of net customer adds and self-service sales have decreased to 40% of sales highlighting the up market GTM shift to larger, higher quality deals. Other key topics include AI monetization, a $300mm CRM ARR target, NRR stabilization, and confidence in accelerating 4Q growth. Reiterate Buy after a large share decline seems overdone for a 5pt change in growth assumptions.' Ltd. (NASDAQ:MNDY) develops software applications globally, offering a cloud-based Work OS for creating work management tools. While we acknowledge the potential of MNDY as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and Disclosure: None.