DeepFake-O-Meter is a free web platform for examining whether images, videos, or audio may have been generated by AI. It brings together 37 forensic research models, with catalog entries covering all three media types. Users can select algorithms using listed measures such as accuracy, running time, and year developed. Each selected algorithm returns a percentage indicating the likelihood that the submitted content was AI-generated. The platform is attributed to the University at Buffalo and its UB Media Forensics Lab; the site names Siwei Lyu as project director. Its intended audience includes social media users, journalists, and law enforcement. DeepFake-O-Meter is described as open source, with algorithm source code publicly accessible. Before uploading media, users are asked whether they want to share it with researchers; shared submissions can help train detection algorithms. The platform presents results from multiple methods and leaves users to decide whether content is real. One catalog note says WAV2LIP-STA performance may suffer under heavy compression. The home page reports that the service was used on the AFP fact check website to detect a deepfake video.
Who it is for
DeepFake-O-Meter suits social media users, journalists, and law enforcement who want to examine images, video, or audio with forensic research models. It may also suit people interested in publicly accessible algorithm source code and comparing outputs from multiple detection methods.
What is good
- Analyzes images, videos, and audio.
- Lists 37 integrated forensic research models.
- Users can select algorithms by accuracy, running time, and development year.
- Each selected algorithm returns a likelihood percentage.
- Algorithm source code is publicly accessible.
- Free web access.
What to know first
- WAV2LIP-STA may perform worse under heavy compression.
- Results leave authenticity judgments to the user.
Verdict
Choose DeepFake-O-Meter if you want free web access to multiple research models for examining images, video, or audio. Look elsewhere if you need the platform itself to make a definitive authenticity judgment; its outputs are analyses for users to interpret.
Get started with DeepFake-O-Meter
- Visit the DeepFake-O-Meter website.
- Create an account with an email, username, and password.
- Choose detection algorithms using the listed model metrics.
- Before uploading, decide whether to share the media with researchers.
- Review each selected algorithm's likelihood percentage.
Questions about DeepFake-O-Meter
Is DeepFake-O-Meter free?
Yes. Its pricing model is free, and a free plan is listed.
Which media types can it analyze?
The platform analyzes images, videos, and audio.
How many detection models are listed?
The models page lists 37 integrated forensic research models.
Is DeepFake-O-Meter open source?
It is described as open source, with algorithm source code publicly accessible.
Who develops DeepFake-O-Meter?
The site attributes it to the University at Buffalo and the UB Media Forensics Lab, and lists Siwei Lyu as project director.
Does the platform decide whether media is authentic?
It provides analysis from multiple methods and leaves users to decide whether content is real.
Compared on AI deepfake detection tools
- Free plan
- Yes
- Media types
- image, video, audio
