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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.
Description
DuckDuckGoose is an advanced deepfake detection platform designed to help organizations identify and prevent AI-generated or manipulated media from entering critical systems. The platform analyzes images, videos, audio recordings, and identity documents to detect signs of synthetic or altered content. It is built specifically for identity verification, compliance, fraud prevention, and digital risk management teams. DuckDuckGoose integrates easily into existing workflows through flexible APIs and SDKs that deliver near-instant detection results. The system provides explainable outputs, including visual traces and detailed logs that support compliance audits and forensic investigations. Its AI models are trained on diverse datasets to detect sophisticated deepfakes while maintaining extremely low false-positive rates. The platform supports multiple deployment environments, including cloud, on-premise, and hybrid infrastructures. DuckDuckGoose offers specialized tools such as Phocus for multimedia detection, Waver for audio deepfake analysis, and DeepDetector for image and video verification. These tools help organizations secure onboarding flows, prevent identity fraud, and detect manipulated media at scale. By combining high accuracy, fast detection speeds, and transparent reporting, DuckDuckGoose helps enterprises make reliable decisions in environments where digital authenticity is critical.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
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
UB Media Forensics Lab
Founded
2020
Country
United States
Website
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/
Vendor Details
Company Name
DuckDuckGoose AI
Founded
2019
Country
Netherlands
Website
www.duckduckgoose.ai