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Description
The NVIDIA Synthetic Video Detector is an advanced microservice powered by AI, specifically created to assess whether a video is genuine or generated by artificial intelligence. Its primary focus is on content generated through diffusion models, making it particularly suitable for applications in media authentication, digital forensics, content verification, broadcast processes, and ensuring the integrity of media. The tool evaluates MP4 video inputs and provides a prediction for each individual frame on a continuum from 0 to 1; where values leaning towards 0 suggest authenticity and those nearing 1 indicate synthetic origins. Furthermore, it is engineered to maintain its effectiveness even under typical video compression scenarios, which helps in sustaining reliable detection capabilities after the footage has undergone processing or distribution via standard media channels. Utilizing a Vision Transformer architecture that incorporates an ensemble of DINOv2 and DINOv3 backbones, it adeptly merges visual representations to differentiate between real and artificially created video content. Input frames are resized to 504 x 504 pixels and subjected to normalization prior to the inference process, ensuring optimal performance in the analysis. This sophisticated approach enables a robust assessment of video authenticity, making it a vital tool in the evolving landscape of digital media verification.
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
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
NVIDIA
Founded
1993
Country
United States
Website
build.nvidia.com/nvidia/synthetic-video-detector
Vendor Details
Company Name
PixelSniff
Website
pixelsniff.com
