OCR Studio to Debut Deepfake Detection Technology at GITEX AI Europe

OCR Studio, a developer of ID verification solutions, will debut its latest deepfake detection technology at GITEX AI Europe – the region’s most global AI, tech, and digital investment cross-industry event. The system exposes a wide range of AI-generated and morphed identity documents created with modern AI models, including ChatGPT, Nano Banana, Grok, Midjourney, and more. The technology will be showcased at Messe Berlin, Germany, during GITEX AI Europe on June 30 – July 1, 2026.

According to Surfshark, three European countries rank among the global top 10 for financial losses from deepfake-related scams: the United Kingdom, Sweden, and Spain, with combined losses reaching $268 million. As generative AI makes fake identity documents cheaper, faster, and easier to create, the deepfake threat is becoming one of the most urgent challenges for businesses that conduct KYC and customer onboarding across Europe.

The deepfake detection technology to be presented at GITEX AI Europe analyzes the underlying structure of an ID image and spots low-level artifacts left by generation or editing algorithms. Unlike semantic or content-based verification systems, it does not rely on document context or search for logical inconsistencies. This makes the solution resilient to high-quality deepfakes that look realistic to the human eye and contain no visible artifacts. The new technology is integrated into OCR Studio’s flagship document forensics product, OCR ID-verify.

GITEX AI Europe is expected to bring together 25,000+ tech and business leaders and 1,400+ global enterprises and startups – many of which operate under strict European data protection requirements. OCR Studio’s deepfake detection solution is specifically designed for such environments: the system runs fully on-premise and does not transmit customers’ personal data to external services or across borders. This helps businesses keep sensitive ID data within their own infrastructure and meet requirements under major data protection frameworks, including GDPR and many local data privacy standards.