AI generated image detection. Find and moderate AI generated images

Detection runs across four layers. ML models first scan each upload for AI-generation signatures and return a classification with a confidence score; your custom rules then apply your platform policy without code changes. The AI Moderator weighs intent and context on edge cases like AI-enhanced or artistic images, and anything still uncertain goes to human reviewers with the image, detection data, and AI reasoning in front of them. Those decisions feed back into the model.

Fully AI-generated images are built from scratch by generative models, while deepfakes are real photos with manipulated or swapped faces. Lasso treats these as separate detection categories, so an image can be flagged as AI-generated, deepfaked, or both. Both run through the same pipeline and your platform rules decide how each is actioned.

Manual review asks moderators to judge every upload, which does not scale and exposes them to harmful content. Lasso automates around 99.9% of decisions and sends only genuine edge cases to human reviewers, each with full context. Your team spends its time on the ambiguous cases rather than the obvious ones, and every call they make trains the model.

Image detection works on the visual content itself, so it is not tied to a single language, and the wider Lasso platform supports 200+ languages for any text it extracts and moderates. The four-layer pipeline is built to run at the volume of high-traffic platforms, automating roughly 99.9% of decisions so human review stays focused on edge cases.

It analyzes user-uploaded images to determine whether they were created or manipulated by AI. Lasso's detection identifies fully synthetic images, deepfake face swaps, and AI-enhanced photos. Each detection includes a confidence score and routes through your platform's moderation pipeline.

Yes. Lasso detects both fully AI-generated images (created from scratch by generative models) and deepfakes (real photos with manipulated faces). These are separate detection categories. An image can be flagged as AI-generated, deepfaked, or both.

Each image analysis returns a confidence score. Clear synthetic images are classified automatically. Ambiguous cases pass through your custom rules, AI moderator, and human review. The layered pipeline maintains accuracy as AI generation techniques evolve, with human decisions continuously training the model.

Lasso's detection models identify synthetic patterns common across generation methods, not just specific tools. This means new generators are caught by the same detection pipeline. Models are updated regularly as generation techniques evolve.

When users upload photos and your platform's trust depends on content authenticity. Common triggers: fake profile reports, synthetic product images, AI-generated misinformation. Lasso integrates AI detection into the same pipeline that handles all image moderation, no separate tool required.