Duckduckgoose for Web

Product snapshot

Duckduckgoose’s DeepDetector is an AI-powered solution built to spot manipulated visual media, with emphasis on deepfake images and video. It relies on a deep neural network to distinguish authentic footage from altered material and, in trials, reaches roughly 93% accuracy. The system is intended to help organizations verify media authenticity quickly and transparently.

Key capabilities

• Activation map visualizations that show which regions or features influenced the decision, improving interpretability.
• Sub-second analysis speed — typical scans return results in about one second.
• Detection across a wide variety of tampering methods (more than ten classes), including common face-replacement techniques.
• High classification performance, with accuracy around the mid-90s in typical evaluations.

Practical use cases

• Journalism and media verification — fact-checkers can screen uploads and field footage for signs of manipulation.
• Video conferencing and remote meetings — real-time checks to help confirm participant authenticity.
• Know-Your-Customer (KYC) and identity verification workflows — automated screening of submitted photos and videos during onboarding.

Integration, hosting and privacy

DeepDetector is offered as a cloud service with flexible APIs that can be embedded into existing systems or pipelines. The platform includes customization options for enterprise workflows and is designed to comply with European privacy regulations and data-protection standards, helping organizations meet regulatory requirements.

Why organizations pick it

DeepDetector combines fast processing, explainable outputs, and broad manipulation coverage, making it suitable for teams that need dependable media authenticity checks to counter misinformation and protect business processes.

Comparable options

• SEMrush (Free tier) — listed as an alternative option for teams looking for simple, accessible tools.