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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
An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of 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
Free
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
UB Media Forensics Lab
Founded
2020
Country
United States
Website
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/