DeepFake-O-Meter

6.1easy start · #20 of 20
in AI Deepfake Detection Tools

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Runs on Web.

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DeepFake-O-Meter is ranked #20 of 20 in AI deepfake detection tools on The Geeks Club. It runs on Web.

Compared on AI deepfake detection tools

Free plan: Yes
Media types: image, video, audio

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The record

Purpose: DeepFake-o-Meter aggregates results from research AI media detection models to support media authenticity assessment.
Detection models: The models page lists 37 integrated forensic research models.
Results: Each selected algorithm returns a percentage representing the likelihood that content was AI-generated.
Model selection: Users can select detection algorithms using listed metrics that include accuracy, running time, and year developed.
Open source: The platform is described as open source, with algorithm source code publicly accessible.
User audience: The maker describes the platform as intended to make deepfake analysis available to the public, including social media users, journalists, and law enforcement.
Submission sharing: Before upload, users are asked whether they want to share the media with researchers; the team says shared submissions can help train detection algorithms.
Interpretation caveat: The platform provides analysis from multiple methods and does not make strong claims about whether uploaded content is authentic.
Account access: The registration page offers account creation using an email, username, and password.
Support contact: The contact page lists [email protected] for contacting the lab.
Research models: The detection models page lists 37 integrated forensic research models.
Model categories: The model catalog includes methods labeled for image, video, and audio detection.
Multiple analyses: The University at Buffalo says users can run multiple detection algorithms, each returning a percentage likelihood that content was AI generated.
Project team: The site identifies the UB Media Forensics Lab as the developer and lists Siwei Lyu as project director.

Where it ranks on The Geeks Club

Best AI Deepfake Detection Tools in 2026#20 of 20

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Sources

zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/· checked 7 Oct 2026
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/models· checked 7 Oct 2026
buffalo.edu/news/releases/2024/09/ub-deepfake-o-met· checked 7 Oct 2026
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/register· checked 7 Oct 2026
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/contact· checked 7 Oct 2026
buffalo.edu/cii/member-news/deepfake-o-meter.html· checked 7 Oct 2026
buffalo.edu/provost/messages.host.html/content/shar· checked 7 Oct 2026