An AI image detector estimates whether an image resembles generated content. A deepfake detector looks for a narrower kind of manipulation, often a person’s face or voice being replaced, synthesized, or altered. The terms overlap in everyday use, but the tasks differ.
Different inputs and targets
An image classifier may assign a whole file to classes such as “real” and “fake.” It may not locate a changed region or identify the tool that made it. Deepfake systems can analyze faces, audio, video frames, motion, or inconsistencies between audio and video. Their scope depends on the specific system.
A fully generated portrait may trigger an AI image classifier. A face swap inside a camera photograph may be a deepfake even though most of the image is photographic. An AI-assisted edit may fall between these categories.
Check what the tool actually does
Read the model’s labels and output description. Do not assume a general image classifier checks identity, manipulation location, video, or audio. Motchilllz currently provides an AI Analyzer for image classification and an EXIF Detector for file metadata. It does not provide deepfake detection.
Both types of detector can make mistakes when material differs from their training data or has been compressed and edited. For a disputed image, compare the original source and seek specific provenance or media records. A detector label alone does not establish that a person said or did something.