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5 AI DeepFake Detector Tools for 2024

A study revealed that deepfake fraud attempts increased by 3000% in 2023.

Deepfakes, which are AI-generated synthetic media manipulating images, videos, and audio, have become increasingly sophisticated and prevalent since their emergence in 2017. The technology has evolved rapidly, with the number of deepfakes online rising by 330% between 2019 and 2020.

A study revealed that deepfake fraud attempts increased by 3000% in 2023. While initially used primarily for non-consensual pornography, deepfakes are now seen more frequently in entertainment, politics, and social media, raising concerns about misinformation and fraud. 

As we look towards 2024, the need for effective deepfake detection tools has become increasingly critical.  Here are five AI deepfake detector tools:  


Founder: Giorgio Patrini

Sensity uses a multi-layered approach leveraging advanced AI and deep learning technologies to detect deepfakes and other manipulated media. The system employs sophisticated deep learning models trained on extensive datasets, including the latest GAN frameworks and diffusion technologies used by AI generators like DALL-E and MidJourney. Sensity’s detection process involves analyzing visual, audio, and metadata components of media files to identify inconsistencies. It examines facial features, expressions, voice characteristics, and temporal consistency in videos to detect anomalies indicative of manipulation. Additionally, Sensity provides real-time monitoring capabilities and can be integrated into existing systems through APIs, enhancing security measures in various applications, including KYC processes. This comprehensive approach ensures a high success rate in identifying synthetic media across digital platforms.


CEO: Pat Gelsinger

Intel’s FakeCatcher is a real-time deepfake detection tool that employs a unique approach based on analyzing “blood flow” in video pixels. It uses a technique called Photoplethysmography (PPG) to detect subtle color changes in the skin that indicate blood flow, which are present in real videos but absent in deepfakes. The system also examines eye movements for consistency. FakeCatcher can analyze videos within milliseconds, claiming a 96% accuracy rate. It can run up to 72 concurrent real-time deepfake detection streams on 3rd Gen Intel Xeon Scalable processors. While highly innovative, real-world testing has shown some limitations, particularly with authentic videos sometimes being incorrectly labeled as fake. Despite these challenges, FakeCatcher represents a significant advancement in deepfake detection technology, offering a novel biological signal-based approach to identifying manipulated videos.

DuckDuckGoose AI

Founder: Joris Mollinga 

DuckDuckGoose AI is an advanced deepfake detection software designed to safeguard against manipulated videos, images, voices, and texts. The tool employs sophisticated algorithms to analyze content for signs of manipulation, providing clear explanations of detected deepfakes to help users understand and trust the results. DuckDuckGoose AI offers real-time detection capabilities, enabling businesses to act immediately to prevent the spread of harmful deepfakes. The software is designed to be integrated into existing systems, enhancing security measures and protecting brand integrity and customer trust. By focusing on the actual content rather than just its presentation, DuckDuckGoose AI provides a reliable and effective solution against advanced and unknown attack methods, ensuring a trustworthy digital environment.

Kroop AI

Founder: Dr Jyoti Joshi

VizMantiz, developed by the startup Kroop AI, is a state-of-the-art deepfake detection tool designed to serve sectors such as Banking, Financial Services, Insurance (BFSI), and social media platforms. This multi-modal detection platform leverages advanced AI algorithms to analyze various aspects of media content, including visual, audio, and metadata components, to identify signs of manipulation. VizMantiz is trained on a large and diverse set of in-house-generated data, enhancing its ability to detect a wide range of deepfake techniques. The tool is positioned to help large organizations in these sectors verify the authenticity of media, thereby protecting against the spread of misinformation and ensuring the integrity of digital content.

Founder: Oren Etzioni is a non-partisan, non-profit organization that offers a free AI-enabled deepfake detection tool to combat political disinformation. Developed in anticipation of the 2024 U.S. elections, the tool boasts over 90% accuracy in identifying manipulated media across various social platforms. It’s available to government officials, fact-checkers, campaign staff, universities, non-profits, and accredited news organizations. Funded by, collaborates with Microsoft’s AI for Good Lab and other partners to enhance its detection capabilities. The organization aims to integrate its tool directly into web browsers and social media platforms, addressing the growing threat of AI-generated misinformation in political discourse. This initiative represents a significant effort to provide reliable deepfake detection to key stakeholders in the information ecosystem.

Picture of Mansi Singh
Mansi Singh
Mansi is an Associate Content Strategist. She holds interest that centers around use of Gen AI in enhancing daily lives and she is dedicated to exploring the latest trends and tools in AI. She can be reached at
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