DEEPFAKE-O-METER
DeepFake-o-meter is an open-access platform that integrates state-of-the-art, open-source research methods for detecting AI-generated images, videos, and audio. The platform serves a dual purpose: for researchers, it offers a testing ground to evaluate detection methods against real-world data; for public users, it provides a free tool to experiment with and better understand recent advances in synthetic media detection.
It is important to note that the incorporated detection methods are research prototypes and may not always produce accurate or consistent results. These outputs should be interpreted with caution and in appropriate context. DeepFake-o-meter does not assume responsibility for any inaccuracies or misclassifications generated by individual detection modules used within the platform.
📰 Latest News
- 🎉 News (11/24/2025): We have added three new image detection methods (DIRE, SBI-Image, UIA-ViT), one new video detection method (LipFD), and one new audio detection method (RawNet2-Vocoder-v2).
- 📢 News (11/22/2025): Deepfake-o-Meter was used to detect AI voice track in recent news. Read more
- 🎉 News (11/18/2025): Our service is back online. If you are facing any problem while using, please contact us at ubmdfl2024@gmail.com.
- 📢 News (11/06/2025): Deepfake-o-Meter was used in recent news for detecting altered video about Indian Army. Read more
- 📢 News (10/07/2025): DFoM was used in recent news for detecting AI-manipulated video of Leh's ADC. Read more
- 📢 News (07/09/2025): DFoM was featured in recent media coverage for supporting fact-checking during the India-Pakistan crisis. Read the full story at Read more
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