COMPARISON
ScamAI vs AWS Rekognition
AWS Rekognition is a general computer vision service for face detection, object recognition, and content moderation. ScamAI is purpose-built for deepfake detection — delivering higher accuracy on synthetic media fraud with voice clone detection and document forgery capabilities not available in Rekognition.
FEATURE COMPARISON
ScamAI vs AWS Rekognition
WHY TEAMS CHOOSE SCAMAI
The ScamAI advantage
Dedicated deepfake detection model
AWS Rekognition provides face detection, object recognition, and general image analysis — it does not have a dedicated deepfake detection model. ScamAI's Eva-v1 is trained specifically to identify synthetic face swaps, GAN images, and diffusion model outputs.
No AWS lock-in
ScamAI is a standalone REST API that works independent of any cloud provider. Teams on GCP, Azure, or self-hosted infrastructure can use ScamAI without an AWS dependency.
Voice clone detection
ScamAI's audio API detects voice clones from ElevenLabs, PlayHT, and other platforms at 98.5% accuracy. AWS Rekognition has no voice clone detection capability.
Identity fraud specialization
ScamAI is purpose-built for KYC, financial fraud prevention, and identity verification — the use cases where deepfake accuracy matters most.
FAQ
ScamAI vs AWS Rekognition — Common Questions
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