DeepScan

DeepScan offers robust media authenticity verification through a comprehensive suite of forensic checks. Its core features include: * Multi-engine forensic analysis with 11 independent checks * Detection of generated images, deepfakes, and manipulations * Identification of document tampering and impossible composites * Rapid trust score generation in seconds * Private processing with no image storage This platform excels by employing a corroborative approach, where eleven distinct engines evaluate every image. These include content plausibility, ELA, sensor noise detection, perceptual hash, geometry analysis, provenance, MRZ checksums, QR integrity, face-region analysis, and EXIF metadata inspection. This layered method ensures that the tool can identify manipulations that single detectors might miss, providing a highly reliable verdict. DeepScan provides a detailed breakdown for every deduction, ensuring transparency in its trust scores. Users can inspect, share, or appeal specific signals, making the verification process clear and accountable. The service emphasizes privacy; images are hashed and immediately discarded, ensuring that no user photos are stored on its servers. It supports JPEG, PNG, or WebP files up to 20 MB and delivers a verdict complete with a shareable report URL. This tool is ideal for journalists, researchers, legal professionals, and anyone who needs to confirm the authenticity of visual media. It provides a quick, secure, and transparent way to verify images without requiring software installations or SDKs, making it accessible for immediate use.