COMPARISON

Scam AI vs AWS Rekognition

AWS Rekognition is a general computer vision service for face detection, object recognition, and content moderation. Scam AI 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.

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FEATURE COMPARISON

Scam AI vs AWS Rekognition

Feature
Scam AI
AWS Rekognition
Deepfake detection accuracy
98.2% (Eva-v1)
General face analysis, not deepfake-specific
Dedicated deepfake model
Yes, Eva-v1
No dedicated deepfake model
Free tier
200 images/month
AWS Free Tier (12 months)
Pricing
$0.05/image
AWS consumption pricing
Audio / voice clone detection
Yes (98.5% accuracy)
No
KYC deepfake detection
Purpose-built
Not purpose-built
Document forgery detection
Yes (AIForge-Doc)
No
Setup without AWS account
Yes
Requires AWS account
SOC 2 / compliance
SOC 2 Type II
AWS compliance framework
Open deepfake research
10+ arXiv papers
AWS Research (broad)

WHY TEAMS CHOOSE SCAMAI

The Scam AI 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. Scam AI’s Eva-v1 is trained specifically to identify synthetic face swaps, GAN images, and diffusion model outputs.

No AWS lock-in

Scam AI is a standalone REST API that works independent of any cloud provider. Teams on GCP, Azure, or self-hosted infrastructure can use Scam AI without an AWS dependency.

Voice clone detection

Scam AI’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

Scam AI is purpose-built for KYC, financial fraud prevention, and identity verification — the use cases where deepfake accuracy matters most.

FAQ

Scam AI vs AWS Rekognition — Common Questions

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