See Through the Pixel.
Verify Visual Truth.
AI-generated and manipulated images are indistinguishable to the human eye. QWED's Image Guard uses multi-VLM consensus and metadata forensics to verify image authenticity and semantic claims.
Multi-Layer Image Verification
No single model is reliable enough for image verification. QWED combines metadata analysis, multi-model consensus, and semantic claim validation for robust results.
Metadata Forensics
Analyze EXIF data, compression artifacts, and editing history. Missing or inconsistent metadata is a strong indicator of manipulation.
VLM Consensus
Query multiple Vision Language Models in parallel. If 2 out of 3 VLMs flag an image, the confidence score reflects the consensus.
Semantic Matching
Verify that textual claims about an image match its actual visual content. Catch misleading captions and alt-text fabrication.
Trust in Visual Content
From e-commerce product photos to insurance claim images, visual content verification is essential in an era of AI-generated media. QWED provides the forensic layer your platform needs.
Content Authenticity
Detect deepfakes, AI-generated product images, and manipulated photos with multi-model verification that's harder to fool than any single detector.