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What is DeepFake-o-meter?

An innovative platform equipped with state-of-the-art techniques for identifying deepfakes is now accessible for public use. Users have the capability to upload one video file from their computer at a time. Deepfakes refer to AI-generated altered media that can create deceptive portrayals of individuals and their behaviors, which can lead to serious consequences if exploited. The DeepFake-o-meter, developed by the UB Media Forensics Lab, is an open-source solution aimed at detecting deepfake technologies produced by external sources. It provides an intuitive service that analyzes deepfake content utilizing various sophisticated detection methods, ensuring that results are generated securely and confidentially. In addition, it includes an API framework that allows developers to incorporate their deepfake detection algorithms and run them on a remote server. This platform not only supports developers but also acts as a crucial resource for researchers in the field of digital media forensics, allowing them to evaluate and compare the effectiveness of different detection algorithms. By fostering collaboration and innovation, this comprehensive approach significantly strengthens efforts against the irresponsible use of deepfake technology. As a result, it contributes to a safer digital environment where misinformation can be effectively challenged.

What is DeepDetector?

DeepDetector is a sophisticated deep learning network designed to detect faces that have been either generated or manipulated by artificial intelligence. As an artificial neural network, it excels at identifying forgeries and the remnants of computer-generated images. This groundbreaking tool is essential for identity verification and fraud prevention. With its remarkable capability to discern AI-generated content, DeepDetector serves as an indispensable resource in the battle against deepfakes. By utilizing biometric systems, it ensures the authenticity of documents and safeguards user identity, which is crucial for effective Know Your Customer (KYC) operations. Users benefit from the ability to quickly and accurately identify deepfake content in real-time, achieving an accuracy rate of up to 99% with an analysis duration of only one second. Moreover, our flexible API integration allows for effortless customization, which helps incorporate our deepfake detection features into existing identity verification systems, ensuring that you remain at the forefront of the fight against digital fraud. As digital content continues to evolve, having such a proactive defense mechanism not only enhances security measures but also builds trust in digital interactions. This makes DeepDetector a necessary tool for organizations committed to maintaining integrity in their digital communications.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

UB Media Forensics Lab

Date Founded

2020

Company Location

United States

Company Website

zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/

Company Facts

Organization Name

DuckDuckGoose

Company Location

Netherlands

Company Website

www.duckduckgoose.ai/detector

Categories and Features

Categories and Features

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