SightRadar is a high-accuracy face recognition API built as a drop-in replacement for AWS Rekognition. It uses the same request and response shapes (CreateCollection, IndexFaces, SearchFacesByImage, CompareFaces, DetectFaces), so you migrate by changing the endpoint URL. Point the AWS SDK (boto3 and others) at SightRadar's endpoint and your existing code keeps working.
What it does
Face search: find one person across thousands of photos from a single selfie (event photos, media libraries, photo delivery)
1:1 verification: compare two faces with a similarity threshold you choose
Face detection with confidence scores you can threshold on
Rekognition-compatible API: CreateCollection, IndexFaces, SearchFacesByImage, CompareFaces, DetectFaces and more
Photos with no faces return valid empty results, not errors
Who it's for
Event and wedding photographers delivering each guest's photos from one selfie
Apps adding selfie-based identity verification (KYC, onboarding)
Media libraries and DAMs tagging and searching people across archives
Teams on AWS Rekognition cutting their face-API bill without rewriting code
SightRadar is built for consented use cases: photo delivery, verification and search within your own collections.
Pricing & access
Free to start with trial credits, no credit card required. Billing is per photo, never per face, using pay-as-you-go prepaid credits with no subscription, no auto-renewal and no minimums.
Batch indexing: $0.00062 per photo
Real-time: $0.00093 per photo
Search by face ID: $0.00062; face storage $6 per million faces per month
Key features
Drop-in AWS Rekognition replacement: same API shapes, change only the endpoint
Face search across collections from a single selfie
1:1 face verification with configurable similarity thresholds
Face detection with confidence scores
Per-photo billing (never per face), no subscription or minimums
GDPR-ready with a Data Processing Agreement; face vectors isolated and encrypted per account, never used for model training
SDKs for JavaScript (npm) and Python (PyPI), plus a Rekognition shim for Python
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