AI to PNG Converter – Simple Way to Get Quality Images
AI stands for Adobe Illustrator file, which is mostly used by graphic designers. These files store vector-based graphics that can be resized without losing sharpness. However, opening an AI file usually requires professional software. That's why converting AI files into PNG format is more practical for everyday use. PNG is supported everywhere, from websites to smartphones, making it a better choice for quick sharing and editing.
Using an AI to PNG Converter – Simple Way to Get Quality Images provides many benefits. PNG files are: Easy to open on any device
Perfect for websites and social media
Lightweight compared to AI files
Maintains transparency and colors
This makes PNG format more versatile. Whether you're a student preparing a project or a business creating social posts, AI to PNG conversion saves time and makes your work more professional.
There are two main types of converters: online tools and software-based tools. Online converters are quick, free, and don't require installation. Software converters, on the other hand, are ideal for professionals who need batch conversions and advanced editing options. Both methods have advantages, depending on your needs. If you want speed, go for online tools. If you want more control and features, choose software converters. Feature Online Converter Software Converter Installation Not needed Required Speed Fast Very fast Features Basic Advanced Best For Casual users Designers/Businesses
The process of using an AI to PNG Converter – Simple Way to Get Quality Images is simple: Upload your AI file into the converter
Choose PNG as the output format
Adjust settings like resolution or size
Click convert and download your PNG file
This simple process takes only seconds and ensures you get high-quality results without complications.
PNG format is highly reliable and versatile. It supports transparency, which makes it perfect for logos and web images. PNG also compresses data without losing quality. This means your design stays sharp and clear. Here are some key advantages: Maintains image clarity
Works on all devices
Keeps file size manageable
These features explain why PNG is the preferred format for sharing designs and images online. Feature PNG Format AI Format Compatibility High (all devices) Limited (Illustrator) File Size Small & optimized Larger Transparency Supported Supported Ease of Use Very easy Needs pro software
In today's fast-moving digital space, using an AI to PNG Converter – Simple Way to Get Quality Images is the smartest choice. It helps you share, edit, and upload your files without restrictions. Whether you're a designer, student, or business owner, this tool saves time and ensures top-quality results. Choosing the right converter makes your workflow smoother and more professional.
1. What is the easiest AI to PNG converter online?
Most users find free online converters easiest to use, such as Convertio or CloudConvert.
2. Can I convert AI to PNG without Illustrator?
Yes, online converters allow conversion without Adobe Illustrator.
3. Does converting AI to PNG reduce quality?
No, PNG maintains high quality and supports transparency.
4. Are online AI to PNG converters safe?
Yes, but always use trusted tools to protect your files.
5. How can I convert AI to PNG on mobile?
You can use mobile-friendly websites or apps like Zamzar and CloudConvert.
Convert AI files to PNG in seconds with high quality. Learn benefits, step-by-step process, and best tools to use for fast, simple, and reliable image conversion.
TIME BUSINESS NEWS
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
12 minutes ago
- Yahoo
Meet the Monster Stock That's Crushing Nvidia and Palantir on the Market
Key Points The rapidly growing demand for CoreWeave's AI cloud infrastructure is translating into tremendous growth for the company. The stock can be bought at a significantly cheaper multiple when compared to the likes of Nvidia and AMD. 10 stocks we like better than CoreWeave › Artificial intelligence (AI) supercharged the growth of Nvidia (NASDAQ: NVDA) and Palantir Technologies (NASDAQ: PLTR) in the past couple of years or so, and that's not surprising, as both companies are playing a key role in the proliferation of this technology with their hardware and software offerings. While Nvidia's powerful chip systems are enabling cloud computing giants, governments, and other customers to train AI models and run inference applications, Palantir is helping customers integrate AI into their operations. Not surprisingly, shares of both companies have been in fine form on the stock market. Palantir stock has shot up a remarkable 116% in 2025. Nvidia, on the other hand, has delivered respectable gains of 33%. However, their gains pale in comparison to CoreWeave (NASDAQ: CRWV), a cloud AI infrastructure provider that went public less than five months ago. What's powering CoreWeave's stunning stock market surge? CoreWeave stock jumped 125% since its initial public offering (IPO) on March 28 this year. Nvidia and Palantir recorded gains of 62% and 91% during the same period. This remarkable rally in CoreWeave stock can be attributed to the terrific growth in the company's revenue on account of the rapidly growing demand for training and deploying AI models and applications in the cloud. The company has built its business by renting out powerful graphics processing units (GPUs) from Nvidia to customers for running AI workloads. CoreWeave's accelerated computing platform is optimized for handling AI and machine learning tasks. The company also offers data storage and networking services to customers. Its latest results for the second quarter of 2025 (released on Aug. 12) make it clear that the demand for CoreWeave's cloud AI infrastructure is extremely robust. The company's Q2 revenue tripled year over year to just over $1.21 billion, exceeding the higher end of its guidance range. More importantly, CoreWeave's revenue backlog grew 86% year over year in Q2, outpacing the 63% growth it recorded in Q1. The company is now sitting on a massive revenue backlog worth more than $30 billion. The impressive jump in CoreWeave's backlog can be attributed to an improvement in the company's customer base, as well as the expansion of its existing contracts. Specifically, the company signed an additional contract worth $4 billion with OpenAI on top of the original contract that was worth almost $12 billion. Management pointed out that it scored a new hyperscale customer during Q2, which ended up expanding its deal with CoreWeave in the quarter. Moreover, CoreWeave has been quickly expanding its AI data center infrastructure to meet the "unprecedented demand" for its AI infrastructure. The company ended the previous quarter with 470 megawatts (MW) of active data center power capacity, up from 420MW in Q1. Even better, the company's contracted power capacity increased by 37% sequentially in the previous quarter to 2.2 gigawatts (GW). The increase in the contracted power capacity means that CoreWeave can eventually offer its cloud AI infrastructure services to more customers in the future. That should help the company corner a bigger share of a massive end-market opportunity. CoreWeave management anticipates its total addressable market (TAM) to hit a whopping $400 billion by 2028. So, it is easy to see why the company has been investing aggressively to bring more capacity online. It has spent $4.8 billion in capital expenditure in the first half of 2025, up from $3.7 billion in the same period last year. The higher outlay explains why CoreWeave increased its full-year revenue outlook. It expects $5.25 billion in revenue now at the midpoint of its guidance range, up from the earlier forecast of $5 billion. That would be a big increase over its 2024 revenue of $1.9 billion. Also, the company's TAM indicates that it has the ability to sustain its outstanding growth in the long run as well, which is why buying it looks like a smart thing to do right now. The stock is cheaper than Nvidia and Palantir CoreWeave is now trading at 12 times sales. While that's on the expensive side, investors should note that it is cheaper than both Nvidia and Palantir right now. Another important point worth noting is that CoreWeave is currently growing at a much faster pace than both Nvidia and Palantir. While Nvidia's revenue in the last reported quarter increased 69% year over year, Palantir reported a 48% jump in revenue to just over $1 billion. Looking ahead, CoreWeave's growth could continue exceeding its fellow AI peers thanks to the huge backlog that it is sitting on. That's the reason why CoreWeave's forward sales multiples are lower than Nvidia's and Palantir's, as seen in the previous chart. All this makes CoreWeave a top AI stock to buy right now as it has the potential to sustain its red-hot rally and outperform Nvidia and Palantir in the future as well. Should you invest $1,000 in CoreWeave right now? Before you buy stock in CoreWeave, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and CoreWeave wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $671,466!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,115,633!* Now, it's worth noting Stock Advisor's total average return is 1,077% — a market-crushing outperformance compared to 185% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 18, 2025 Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Nvidia and Palantir Technologies. The Motley Fool has a disclosure policy. Meet the Monster Stock That's Crushing Nvidia and Palantir on the Market was originally published by The Motley Fool Se produjo un error al recuperar la información Inicia sesión para acceder a tu portafolio Se produjo un error al recuperar la información Se produjo un error al recuperar la información Se produjo un error al recuperar la información Se produjo un error al recuperar la información
Forbes
14 minutes ago
- Forbes
Elon Musk's xAI Published Hundreds Of Thousands Of Grok Chatbot Conversations
Musk and xAI recently attracted scrutiny when Grok began identifying itself as 'MechaHitler.' Getty Images Elon Musk's AI firm, xAI, has published the chat transcripts of hundreds of thousands of conversations between its chatbot Grok and the bot's users — in many cases, without those users' knowledge or permission. Anytime a Grok user clicks the 'share' button on one of their chats with the bot, a unique URL is created, allowing them to share the conversation via email, text message or other means. Unbeknownst to users, though, that unique URL is also made available to search engines, like Google, Bing and DuckDuckGo, making them searchable to anyone on the web. In other words, on Musk's Grok, hitting the share button means that a conversation will be published on Grok's website, without warning or a disclaimer to the user. Today, a Google search for Grok chats shows that the search engine has indexed more than 370,000 user conversations with the bot. The shared pages revealed conversations between Grok users and the LLM that range from simple business tasks like writing tweets to generating images of a fictional terrorist attack in Kashmir and attempting to hack into a crypto wallet. Forbes reviewed conversations where users asked intimate questions about medicine and psychology; some even revealed the name, personal details and at least one password shared with the bot by a Grok user. Image files, spreadsheets and some text documents uploaded by users could also be accessed via the Grok shared page. Among the indexed conversations were some initiated by British journalist Andrew Clifford, who used Grok to summarize the front pages of newspapers and compose tweets for his website Sentinel Current. Clifford told Forbes that he was unaware that clicking the share button would mean that his prompt would be discoverable on Google. 'I would be a bit peeved but there was nothing on there that shouldn't be there,' said Clifford, who has now switched to using Google's Gemini AI. Not all the conversations, though, were as benign as Clifford's. Some were explicit, bigoted and violated xAI's rules. The company prohibits use of its bot to 'promot[e] critically harming human life or to 'develop bioweapons, chemical weapons, or weapons of mass destruction,' but in published, shared conversations easily found via a Google search, Grok offered users instructions on how to make illicit drugs like fentanyl and methampine, code a self-executing piece of malware and construct a bomb and methods of suicide. Grok also offered a detailed plan for the assasination of Elon Musk. Via the 'share' function, the illicit instructions were then published on Grok's website and indexed by Google. xAI did not respond to a detailed request for comment. xAI is not the only AI startup to have published users' conversations with its chatbots. Earlier this month, users of OpenAI's ChatGPT were alarmed to find that their conversations were appearing in Google search results, though the users had opted to make those conversations 'discoverable' to others. But after outcry, the company quickly changed its policy. Calling the indexing 'a short-lived experiment,' OpenAI chief information security officer Dane Stuckey said in a post on X that it would be discontinued because it 'introduced too many opportunities for folks to accidentally share things they didn't intend to.' After OpenAI canned its share feature, Musk took a victory lap. Grok's X account claimed at the time that it had no such sharing feature, and Musk tweeted in response, 'Grok ftw' [for the win]. It's unclear when Grok added the share feature, but X users have been warning since January that Grok conversations were being indexed by Google. Some of the conversations asking Grok for instructions about how to manufacture drugs and bombs were likely initiated by security engineers, redteamers, or Trust & Safety professionals. But in at least a few cases, Grok's sharing setting misled even professional AI researchers. Nathan Lambert, a computational scientist at the Allen Institute for AI, used Grok to create a summary of his blog posts to share with his team. He was shocked to learn from Forbes that his Grok prompt and the AI's response was indexed on Google. 'I was surprised that Grok chats shared with my team were getting automatically indexed on Google, despite no warnings of it, especially after the recent flare-up with ChatGPT,' said the Seattle-based researcher. Google allows website owners to choose when and how their content is indexed for search. 'Publishers of these pages have full control over whether they are indexed,' said Google spokesperson Ned Adriance in a statement. Google itself previously allowed chats with its AI chatbot, Bard, to be indexed, but it removed them from search in 2023. Meta continues to allow its shared searches to be discoverable by search engines, Business Insider reported. Opportunists are beginning to notice, and take advantage of, Grok's published chats. On LinkedIn and the forum BlackHatWorld, marketers have discussed intentionally creating and sharing conversations with Grok to increase the prominence and name recognition of their businesses and products in Google search results. (It is unclear how effective these efforts would be.) Satish Kumar, CEO of SEO agency Pyrite Technologies, demonstrated to Forbes how one business had used Grok to manipulate results for a search of companies that will write your PhD dissertation for you. 'Every shared chat on Grok is fully indexable and searchable on Google,' he said. 'People are actively using tactics to push these pages into Google's index.' More From Forbes Forbes Elon Musk Wants To Raise The Birth Rate. He's Cutting Medical Care For Mothers And Babies. By Emily Baker-White Forbes How Jay Graber Is Making Sure Bluesky Never Turns Into Elon Musk's X By Emily Baker-White Forbes How Elon Musk Muzzled Government Employees From Talking About xAI's New Supercomputer By Sarah Emerson
Forbes
14 minutes ago
- Forbes
Tech Faces A Talent Bottleneck: Here's What To Do About It
At first glance, the future of tech looks limitless: just think how fast artificial intelligence (AI), including generative and agentic AI, is advancing. Already, 80 percent of companies are using AI in at least one business function and more than 90 percent are planning to increase their AI investments. But as business leaders know, past performance does not guarantee future results. In McKinsey's Annual Tech Trends outlook, my McKinsey colleagues Lareina Yee, Michael Chui, Roger Roberts and Sven Smit identified 13 'frontier technologies' that matter most to companies in 2025. They not only include gen AI and robotics, but fields like advanced connectivity (for example 5G and emerging 6G cellular systems), bioengineering, space, cloud and edge computing, immersive reality, and mobility (autonomous and electric vehicles, drones, electric vertical takeoff and landing aircraft; e-scooters, and e-bikes). Underlying the development of each of these 13 frontier technologies is the most critical constraint: talent. In AI, 46% of leaders cite skill gaps as a major barrier to adoption, and job postings for agentic AI rose almost 1000% from 2023-24. In skills related to data science, algorithms, the Internet of Things, 5G, artificial intelligence, DevOps, virtual reality, and quantum computing, for example, McKinsey has documented that the availability of many skills is running far short of demand for them. Consider what is happening in energy and sustainability, another of the frontier technologies, and the one that is seeing the greatest equity investment—$223 billion in 2024. Much of the investment is focused on the generation and use of low-carbon electricity and fuels--technologies that are particularly important given how data centers are driving up electricity demand. For the transition toward clean energy to advance, so must digitization, to enable data analysis, automation, and AI-enabled grid optimization. For example, AI and data analytics can be used to integrate large data sets to better identify deposits of minerals used in electric vehicles. Automation and other technical skills, including Python, are critical to integrate AI technologies into energy systems. There are significant talent shortages in all these areas and also in sector-specific ones such as clean energy and waste management. Unless these are filled, the inevitable consequence will be a slower energy transition and thus a regression in global efforts to deal with climate change. The same pattern applies to each of the 13 frontier technologies: great potential, amazing technical progress, blossoming enthusiasm—and not nearly enough of the trained human talent essential to turn promise into reality. But talent gaps are not necessarily perpetual. They can be filled or at least narrowed. Here are three approaches for business leaders to consider. Invest in reskilling Given the realities of tight labor markets and aging populations, a significant part of the answer to talent shortages will be to train current employees. Some of the capabilities required are specific, and targeted training is appropriate. A German solar-energy company, for example, launched a Heat Pump Academy to train installers and specialists in that technology. Many other skills, however, are broad-based, so it is important to build cross-functional programs that can make workers future-ready. For their part, employees need to be lifelong learners and continue to build new skills. Initiatives that have been proven to work include designing tailored learning journeys and starting 'skills hubs' with metrics that track results. Create new talent models Many frontier technologies, particularly those related to AI and data, are not place-based. Creating such globally distributed teams is one way to find the talent needed. The use of AI itself can augment the workforce, releasing people from dull, repetitive tasks to take on more demanding and engaging roles; chatbots that answer routine questions, for example, mean call center staff can take care of more complicated questions. Employers who recruit for skills rather than credentials, may be able to tap into a high-potential pool of talent. For frontier technologies such as energy and sustainability solutions as well as cloud and edge computing, growth will also require skilled trade roles such as construction workers and electricians. See talent as an element of strategy Big tech bets in frontier technologies won't deliver returns unless companies plan their hiring and training at the same pace as their product and infrastructure investments. That means align the hiring roadmap directly to the product roadmap, with a disproportionate focus on the roles that will drive the greatest value. Given how essential talent is, it cannot be the sole responsibility of the human resources division; it has to be a corporate priority, starting with the C-suite. Among companies that have begun a large-scale, programmatic skills transformation, the vast majority say it has helped them to realize their strategy, as well as make their employees more satisfied. We do not know how the future will unfold. But however it does, we can be sure that progress will depend heavily on talent-- the skill, intellect, and creativity of people. In the 13 frontier sectors, the state of the technology is readier than the workforce. Organizations that can assemble adaptable, interdisciplinary, inspired teams, will position themselves to narrow that gap and take full advantage of the possibilities of technological innovation.
