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Description
Utilize AI or Not to quickly identify whether images or audio are generated by artificial intelligence, protecting both your business and personal interests. In mere seconds, you can detect generative AI, thereby minimizing fraud and thwarting the latest scams. Additionally, safeguard music copyrights by determining if an artist's voice has been incorporated into AI-generated audio content. Equip your trust and safety teams with advanced AI content detection capabilities, ensuring precise identification of deepfakes with transparency. Furthermore, bolster identity verification and KYC compliance by protecting against the risks posed by AI-generated synthetic IDs. AI or Not serves as a web platform designed to assist users in swiftly and accurately discerning whether an image originates from AI or human creation, and if the former, it pinpoints the specific AI model utilized. For those needing to analyze multiple images, we provide an API that facilitates bulk analysis and easy integration into existing platforms. While our service allows free analysis for individual images, we also offer a premium API for extensive image assessments and commercial applications. In this rapidly evolving digital landscape, staying informed about the authenticity of content is more crucial than ever.
Description
Intel has developed the FakeCatcher deepfake detection technology, which evaluates the “blood flow” in video pixels to quickly assess the authenticity of a video in mere milliseconds. This system is seamlessly integrated into editing software widely used by content creators and broadcasters, allowing for effective detection of manipulated content during the editing process. Furthermore, it serves a critical role in screening user-generated content, ensuring that authenticity checks are part of the upload process. By providing a universally accessible platform for deepfake detection, it empowers individuals and organizations alike to verify the legitimacy of videos with ease. Deepfakes represent synthetic media that distort reality, presenting actors and actions that are fabricated. While many deep learning-based detection systems examine raw data to identify inconsistencies and flaws, FakeCatcher takes a different approach by searching for genuine indicators of authenticity within real footage, focusing on the minuscule evidence of human traits—such as the subtle variations in pixel color caused by blood circulation. When the heart pumps, the color of our veins shifts, creating the unique data that FakeCatcher utilizes to distinguish between real and manipulated videos. This innovative detection method signifies a significant leap forward in the fight against deepfake technology.
API Access
Has API
API Access
Has API
Integrations
DALL·E 3
Midjourney
Stable Diffusion
Pricing Details
$5 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
AI or Not
Website
www.aiornot.com
Vendor Details
Company Name
Intel
Country
United States
Website
www.intel.com/content/www/us/en/newsroom/news/intel-introduces-real-time-deepfake-detector.html#gs.08lxwl