The ease with which AI can generate images, as demonstrated by trends like ‘Nano Banana’, necessitates methods for differentiating between authentic and AI-created content. A number of practical techniques can assist in detecting AI-generated images. The initial step involves scrutinizing an image’s details, looking for unnatural shapes, lighting discrepancies in the eyes, or unclear small elements. Text and logos within an image should also be examined for clarity, distortion, or inaccuracies. Moreover, the alignment of shadows with the light source and general lighting consistency can provide clues about an image’s origin. Examining the metadata of an image using tools like Metadata2Go or FotoForensics can reveal the absence of camera details often present in real photographs. Google Gemini Nano Banana is a tool from Google that allows users to transform photos into creative, stylized images like 3D figures or retro portraits. This tool integrates features like embedded watermarks, subject consistency across edits, multi-image fusion, and text-based editing.
