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Description
Deepfake technology poses significant risks by enabling the creation of misleading videos and audio that can confuse audiences and spread false information. Our DeepFake Detector is designed to help you effectively identify and screen out these AI-generated media, ensuring that you can trust the content in critical contexts, such as news reporting and judicial matters. Recognizing the serious implications of deepfakes, we prioritize the need for genuine audio and video content. By utilizing our professional verification services, you can easily distinguish authentic media from misleading fakes. To begin the verification process, simply select a video or audio file for analysis, keeping in mind that files should ideally be a minimum of 8 seconds in duration and free from edits or special effects for optimal accuracy. Once you upload your chosen file, just hit the "detect deepfake" button to initiate the process, and you will receive an assessment indicating the likelihood of the media being a deepfake versus legitimate content. This empowers you to make informed decisions based on the authenticity of the media you are analyzing.
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
No details available.
Integrations
No details available.
Pricing Details
$17.88 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
DeepFake Detector
Website
deepfakedetector.ai/
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