AI or Not

What Is AI or Not?

AI or Not is an AI detection platform designed to identify whether digital content was created or manipulated using artificial intelligence. Its detection tools cover images, text, video, audio, music, and deepfakes, allowing users to check different types of media from one platform. For images, AI or Not analyzes pixel-level information rather than relying on metadata or watermarks and can provide a breakdown of which AI generators may have been involved.

AI or Not supports detection across a wide range of generative AI systems, including Midjourney, DALL·E, GPT Image, Stable Diffusion, Flux, Grok, Ideogram, Adobe Firefly, Recraft, Seedream, and others. Its image detector can also identify potential deepfakes, while its video detector examines frames and accompanying audio. The platform provides separate detection capabilities for AI-generated voices, music, and written content as well.

The platform is also designed for businesses and developers that need AI detection at scale. AI or Not provides an API for integrating its detection technology into applications and automated workflows, with support for image, text, audio, video, and deepfake detection.

AI or Not Features

• AI Image Detection: Analyze images for signs of generative AI and receive a breakdown of possible generators such as Midjourney, ChatGPT, Flux, and Stable Diffusion.
• AI Text, Video & Audio Detection: Check written content, videos, synthetic voices, and AI-generated music for signs of AI creation.
• Deepfake Detection: Analyze images and videos for AI-generated faces, face swaps, and other forms of synthetic manipulation.
• AI Detection API: Integrate AI and deepfake detection into websites, applications, moderation systems, and automated workflows through an API.

AI or Not Use Cases

• Content verification: Publishers, journalists, and researchers can check suspicious images, videos, audio, and text before using or sharing them.
• Fraud prevention: Businesses can analyze potentially manipulated photos, identity images, insurance evidence, and other digital files.
• Deepfake detection: Organizations can screen media for AI-generated faces, face swaps, and other synthetic content.
• Automated AI detection: Developers and businesses can integrate AI detection into their own platforms for moderation, verification, compliance, or content screening.