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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

PixelSniff is an online AI tool that helps users determine if an image has been created or altered using artificial intelligence. The platform allows for the dragging, pasting, or uploading of images, supporting file formats like JPG, PNG, WebP, and HEIC with a maximum size of 50 MB, while also offering the capability for batch image checks. It utilizes a variety of detection engines to analyze images, looking for generation artifacts, noise patterns, and metadata inconsistencies, ultimately providing a comprehensive likelihood score along with individual results from each engine, a heatmap, and detailed explanations of its findings. This tool is particularly effective at identifying synthetic images produced by popular AI applications like Midjourney, DALL·E, Stable Diffusion, Flux, and Gemini, as well as recognizing deepfakes, face swaps, and photos edited by AI technology. While the results are informative and provide a probabilistic likelihood, they do not serve as definitive proof of authenticity. Users can access free checks without needing to create an account, and they have the option to share their reports via private, unlisted links for confidentiality and convenience. This makes PixelSniff an accessible and user-friendly resource for anyone looking to evaluate the authenticity of images they encounter online.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$0
Guests can run 5 free basic image checks per day without an account. New sign-ups receive 15 credits valid for one month. Pro costs $199/year and includes 2,000 credits per month; one-time credit top-ups are available to Pro subscribers. Enterprise plans include API access on custom terms.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

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

PixelSniff

Website

pixelsniff.com

Product Features

Product Features

Alternatives

Alternatives

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