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Best AI Video Generator Tools (2026): CapCut Recognized for Fast AI-Powered Video Creation by Software Experts

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NEW YORK, July 2, 2026 /PRNewswire/ — Software Experts has recognized CapCut in its Best AI Video Generator Tools review for fast AI-powered video creation, highlighting the platform’s role in helping creators, small businesses, educators, e-commerce sellers, and marketing teams move from idea to usable video with fewer production barriers.

Best AI Video Generator Tools

CapCut – an AI-powered photo and video editing platform that supports video generation, editing, captions, templates, audio, and visual tools across mobile, web, desktop, and iPad experiences.

The recognition comes as AI video generation becomes a larger part of everyday content planning. Video demand continues to grow across social media, product marketing, online learning, and brand communication. For many teams, the challenge is no longer whether video matters. The challenge is how to create clear, usable video content without a full production setup.

Why Software Experts Recognized CapCut

CapCut addresses a practical question for users comparing AI video creation tools: how can video ideas be created faster without losing editing control?

The answer is its combined workflow. CapCut’s Seedance 2.0 supports text-to-video creation, image-to-video generation, short-form video editing, captions, effects, resizing, and export tools. This structure helps users create a draft and refine it in the same platform.

That matters because AI-generated clips often need more work before publication. Captions may need to be added. Pacing may need to be adjusted. Content may need to be resized for different channels. CapCut supports those follow-up steps instead of treating AI generation as a separate process.

The Video Creation Problems CapCut Helps Solve

Many video projects slow down before editing starts. CapCut helps reduce that friction by supporting users who need to turn early ideas, written prompts, or still assets into usable video drafts.

Key use cases include:

Product visuals: Small businesses and e-commerce sellers can turn product images into motion-based clips for listings, ads, and social posts.Written concepts: Creators and marketers can use text-to-video tools to move from a script, prompt, or campaign idea to a visual draft.Short-form content: Social media teams can create teaser videos, promotional clips, and trend-ready posts with fewer production steps.Educational content: Educators and coaches can create short explainers, lesson visuals, and presentation-ready clips from simple prompts.Campaign testing: Marketing teams can visualize ideas before committing time and resources to larger production work.

CapCut’s Seedance 2.0 reduces the gap between an idea and a usable video asset. It is especially useful for people who need regular video output but do not want a complicated editing setup.

How CapCut Supports Text-to-Video and Image-to-Video Creation

CapCut’s AI video tools support two common starting points. Text-to-video creation allows users to describe a scene, product idea, mood, or visual style. The tool can then create a draft based on that direction.

Image-to-video support gives users another path. A product photo, brand visual, character reference, or concept image can become a motion-based clip. This is useful when strong still assets already exist but video content is needed for social media, ads, landing pages, or presentations.

The workflow also supports common search intents, including how to make videos from text, how to turn images into AI videos, how to create promotional videos without editing skills, and how to make product videos faster.

The Users Who Benefit From CapCut’s AI Video Tools

CapCut is built for users who need video content on a regular basis. Its AI video generator and editing tools support different content goals across business, education, and social media.

Social media creators can use CapCut for short-form clips, teaser visuals, and trend-ready content.Small businesses can create product launch videos, event clips, seasonal content, and service explainers when original footage is limited.E-commerce sellers can turn product images into motion-based visuals for listings, ads, and social posts.Marketing teams can use CapCut to visualize campaign ideas before committing to full production.Educators and coaches can turn prompts into short explainers for lessons, presentations, and online learning materials.

Why This Recognition Matters for AI Video Creation

Software Experts’ recognition points to a larger shift in video production. AI video tools are becoming more useful when they help users move quickly, edit with control, and prepare content for real publishing needs.

CapCut fits that shift by combining AI video generation with accessible editing features in one workflow. For users comparing AI video generators, text-to-video software, image-to-video creation tools, and fast video editing platforms, CapCut offers a practical path from idea to finished content.

The full review can be read at the Software Experts website.

About CapCut

CapCut is an AI-powered photo and video editing platform designed to make high-quality video creation accessible across devices. The platform supports creators, businesses, and everyday users with tools for video editing, AI video generation, captions, templates, audio, and visual editing. CapCut is available across mobile, web, desktop, and iPad experiences, helping users create, edit, and prepare video content for social media, marketing, education, and personal projects.

About Software Experts: Software Experts delivers in-depth news on the digital tools shaping today’s consumer experience. As an affiliate, Software Experts may earn commissions from sales generated using links provided.

 

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SOURCE SoftwareExperts.org

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Sophia Space and MIT Lincoln Laboratory Announce Research Collaboration on Space-Based Weather Modeling

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CRADA and related SpaceWERX Phase I research will explore space-based computing approaches for weather-modeling applications

PASADENA, Calif., Oct. 20, 2026 /PRNewswire/ — Sophia Space today announced a new Cooperative Research and Development Agreement (CRADA) with MIT Lincoln Laboratory to investigate how space-based computing approaches could support high-resolution weather-modeling research for remote operating environments.

The collaboration combines MIT Lincoln Laboratory’s weather-modeling research expertise with Sophia Space’s edge-compute concepts. The effort will explore whether distributed computing can support more timely environmental information for planning and decision-support applications.

Under the agreement, MIT Lincoln Laboratory will contribute weather-modeling research expertise, including the identification of modeling configurations, parameters, and data sources for evaluation. The team will develop representative test data and assess weather-model performace against defined research metrics using frameworks compatible with Sophia Space’s initial hardware configurations.

Sophia Space will provide the AI-inference compute environment for evaluating representative weather-model workloads, including terrestrial and potential space-based computing configurations. The organizations will explore high-level system and service architectures that may inform future research into space-based computing applications.

Sophia Space and MIT Lincoln Laboratory are also pursuing related work under Department of the Air Force STTR Topic SF25D-T1201 through the SpaceWERX Futures Series: Adaptive and Intelligent Space Challenge. The related effort examines technologies relevant to autonomous, resilient, and networked space-system operations.

“This partnership reflects our conviction that space-based computing infrastructure should be developed through rigorous collaboration between commercial innovators and world-class research institutions,” said Rob DeMillo, Co-founder and CEO of Sophia Space. “MIT Lincoln Laboratory brings unmatched weather sensing, forecasting and decision-support research expertise, and together we will explore the potential application of space-based computing to weather-modeling research.”

The collaboration aligns with Sophia Space’s research interests in edge-compute architectures, distributed processing, and sensor fusion integration for environments.

“Timely weather information is critical for operations in remote and contested environments,” said Dr. Timothy Bonin, Assistant Group Leader of the Air Traffic Control & Weather Systems Group at MIT Lincoln Laboratory. “This collaboration allows us to explore how space-based computing can help process satellite observations and other environmental data closer to the point of collection, while assessing potential impacts on communications demands and information-delivery timelines.”

About Sophia Space Inc.
Sophia Space is building the future of orbital computing and in-space data centers. Its modular TILE (Thermal-Integrated LEO Edge) technology enables passive computing alongside in-situ data processing, AI acceleration, and edge computing for satellites, defense systems, and commercial space stations—dramatically reducing latency and delivering actionable insights where and when they are needed. Learn more at www.sophia.space.

About MIT Lincoln Laboratory
MIT Lincoln Laboratory is a federally funded research and development (R&D) center chartered to apply advanced technology to problems of national security. Since 1951, the Laboratory has developed technology that has transformed the activities of the defense, scientific, and industry communities. Its mission focuses on long-term technology development as well as rapid system prototyping and demonstration. Through several mechanisms, it facilitates partnerships with companies to advance R&D and increase U.S. technical competitiveness. Learn more at www.ll.mit.edu.

 

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SOURCE Sophia Space

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Oracle and AstraZeneca Partner to Advance AI-enabled Healthcare Innovation

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Collaboration to connect AstraZeneca’s scientific and therapeutic expertise with Oracle’s real-world data, cloud, AI, and clinical capabilities to accelerate clinical research and bring evidence-driven insights into care workflows to help improve patient care

AUSTIN, Texas and ABU DHABI, UAE, Oct. 20, 2026 /PRNewswire/ — Oracle today announced an agreement with AstraZeneca to explore how AI and real-world data can help clinicians identify eligible patients for clinical trials, accelerate evidence generation, and bring relevant research insights into everyday care. The collaboration is expected to combine AstraZeneca’s scientific and therapeutic expertise with Oracle’s health data, cloud, AI, analytics, and clinical workflow capabilities.

Through a non-binding agreement, the companies plan to explore selected use cases that could improve clinical-trial efficiency and success by leveraging modern applications and AI to help care teams identify eligible patients earlier and easier, resulting in greater access to clinical trials for patients in need and helping to overcome one of the largest obstacles in clinical trials – patient recruitment. Initial disease areas to be explored could include oncology; cardiovascular, renal and metabolic diseases; respiratory and immunology; and rare diseases.

Pascal Soriot, Chief Executive Officer, AstraZeneca said: “This unique collaboration brings leaders in healthcare and AI together at a global scale to accelerate the journey from the discovery of medicine to patient care. Combining AstraZeneca’s world class science with Oracle’s deep data and technology expertise, we can help clinicians identify patients sooner, optimize clinical trials, and generate evidence continuously across the lifecycle of a medicine.”

“Some of the most important opportunities for AI are in healthcare, where better use of data can help turn scientific innovation into better outcomes for patients,” noted Mike Sicilia, chief executive officer, Oracle. “By bringing AstraZeneca’s scientific expertise together with Oracle’s data, cloud, AI, and healthcare capabilities, we have an opportunity to help accelerate research, connect more patients to clinical trials, and ultimately bring relevant insights into care faster.”

Connecting Research and Care

Anne-Claire Gerbaldi, Chief Digital, Data and AI Officer, AstraZeneca, added: “Too many patients are diagnosed late or face a long journey to get the care they need. To build the next decade of medicine, we aim to harness AI to connect learnings across science, clinical trials, and everyday care, generating insights that continuously strengthen research, accelerate innovation, and enhance patient outcomes. Bringing together the unique capabilities of Oracle and AstraZeneca, we believe we can support smarter clinical trials, strengthen safety monitoring, and help ensure patients are diagnosed sooner and receive the right care.”

Seema Verma, executive vice president and general manager, Oracle Health and Life Sciences, said: “Healthcare progress depends on shortening the distance between scientific insight and the decisions clinicians make every day. AstraZeneca brings deep scientific and therapeutic expertise, and Oracle will deliver the secure data, cloud, AI, and clinical workflow capabilities. This collaboration has the potential to help health systems identify eligible patients sooner, broaden access to clinical trials, and generate evidence that supports the next decision, all under the governance of the health systems delivering care.”

AstraZeneca and Oracle intend to explore a continuous learning model in which insights from clinical research and routine care help inform future study design, safety monitoring, and patient care. The companies plan to establish shared governance, reusable technical components, and agreed outcome measures to assess results and determine whether successful approaches could extend across disease areas and geographies.

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit www.oracle.com.

Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company – ushering in the new era of cloud computing.

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SOURCE Oracle

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Loyyal Unveils Perxi AI Business Suite to Help SMEs Run Their Business on WhatsApp

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Branded AI assistant brings everyday business activities into messaging channels, reducing the need for separate software and specialist teams

DUBAI, UAE, Oct. 20, 2026 /PRNewswire/ — Loyyal today unveiled the Perxi AI Business Suite, enabling small and medium enterprises (SMEs) to manage everyday business activities through WhatsApp. Building on its introduction as a loyalty assistant, Perxi brings commerce, customer engagement and business management into one conversational interface, with capabilities including ordering, customer service and loyalty.

The suite helps SMEs and direct-to-consumer brands manage these activities without purchasing separate ordering systems, customer relationship management software or support tools. Its conversational approach reduces the need to hire specialists or train employees to operate multiple systems.

“Small business owners should be able to focus on growth without assembling a collection of software tools,” said Ashish Kumar Singh, Founder and CEO of Loyyal.

“Perxi brings everyday business capabilities into WhatsApp under each business’s own brand. We want to make these tools affordable and accessible while helping businesses retain greater control over their customer relationships, data and decisions.”

Perxi provides the underlying technology, while each business launches its assistant under its own brand name. Customers engage directly with the business they recognise, rather than entering a separate Perxi marketplace.

Customers can place orders, ask questions, receive assistance and access rewards within a familiar conversation. There is no additional branded application to install or separate login to remember. This approach is designed to appeal to younger consumers accustomed to discovering and interacting with brands through mobile messaging.

Beyond WhatsApp, Perxi can be deployed across messaging channels suited to each business and market, including Instagram, WeChat and KakaoTalk.
Multilingual capabilities enable businesses to serve customers in their preferred languages, supporting brands operating beyond English and those engaging diverse communities.

As conversational commerce and AI assistants become more prominent, SMEs face growing expectations for convenient, responsive interactions. Bringing business services into messaging channels offers a way to meet those expectations while building direct customer relationships.

Marketplaces and aggregators offer a fast route to market, but access to customer information and engagement opportunities varies. Perxi helps businesses establish a direct channel and gain insights from their own customer conversations and transactions.

These insights can inform service improvements, personalised engagement and retention, while reducing dependence on intermediaries for customer access.

Pricing is designed to remain simple and affordable. Loyyal plans further services under the same umbrella.

Perxi will return to exhibit at Dubai AI Festival on October 26–27, 2026, at Dubai World Trade Centre.

About Loyyal

Loyyal is a US-born, UAE-based enterprise technology company helping businesses turn loyalty and customer engagement into growth and revenue. Combining patented blockchain technology with AI, its modular portfolio spans loyalty management, rewards, points exchange, offers, gift cards, gamification and conversational business assistants.

Media Contact

Marketingdepartment@loyyal.com

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