Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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.

Description

VidMe is an innovative platform that leverages artificial intelligence to facilitate the rapid creation of high-quality user-generated videos within minutes. Users can easily generate compelling content by entering a script, choosing an avatar from a selection of real actors with pre-recorded clips, and letting the AI do the rest, eliminating the necessity for traditional cameras or live performers. The platform is multilingual, supporting over 29 languages, which enables users to connect with a vast array of global audiences. Moreover, VidMe allows for the creation of custom avatars by uploading personal video footage, adding a unique and tailored aspect to the content produced. This efficient video production system proves particularly advantageous for marketers and content creators who seek to enhance their presence on platforms like TikTok and Instagram. By streamlining the video creation process and minimizing the typical hurdles associated with hiring talent and long production timelines, VidMe becomes an essential resource for contemporary digital marketing efforts. Ultimately, it empowers creators to focus on their message while the AI handles the technical details.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Instagram
TikTok

Integrations

Instagram
TikTok

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$29 per month
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

Intel

Country

United States

Website

www.intel.com/content/www/us/en/newsroom/news/intel-introduces-real-time-deepfake-detector.html#gs.08lxwl

Vendor Details

Company Name

VidMe

Country

United States

Website

www.vidme.ai/

Product Features

Alternatives

DeepFake-o-meter Reviews

DeepFake-o-meter

UB Media Forensics Lab

Alternatives

DeepDetector Reviews

DeepDetector

DuckDuckGoose
Phocus Reviews

Phocus

DuckDuckGoose