This project is an AI-powered Fake News & Deepfake Detection
Identify and segment objects in images using text
Detect image manipulations in your photos
Detect NSFW content in images
Detect objects in images based on text queries
Find images using natural language queries
Detect inappropriate images
Detect objects in an image
Detect objects in images from URLs or uploads
Analyze files to detect NSFW content
Detect NSFW content in images
Detect objects in images
Identify NSFW content in images
FakeNews Deepfake Detection is an AI-powered tool designed to detect and identify deepfake images and videos. It helps users determine the authenticity of digital content, ensuring protection against misinformation. The tool is specifically engineered to analyze digital media and flag potential deepfakes, which are synthetic media generated using artificial intelligence.
What types of files does FakeNews Deepfake Detection support?
FakeNews Deepfake Detection supports JPEG, PNG, and MP4 formats, ensuring compatibility with most common media files.
How accurate is the detection process?
The tool uses state-of-the-art AI models to achieve high accuracy in detecting deepfakes, but no system is 100% foolproof as technology continues to evolve.
Can I integrate FakeNews Deepfake Detection into my own application?
Yes, the tool offers an API option for seamless integration into third-party applications, enabling developers to incorporate deepfake detection into their platforms.