SightRadar
Face recognition API, Rekognition-compatible, pay per photo
About SightRadar
SightRadar is a face recognition API for teams that need face search, verification and detection at scale, without AWS Rekognition's pricing. It is Rekognition-compatible: point the AWS SDK (boto3 and others) at SightRadar's endpoint and your existing code keeps working.
What you get:
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
Per-photo billing, never per face: batch indexing from $0.00062 per photo, real-time $0.00093 per photo
Privacy by design: GDPR-ready with a Data Processing Agreement, face vectors isolated and encrypted per account, never used for model training
SDKs on npm and PyPI, plus a Rekognition shim for Python
Free to start with trial credits, no credit card required. Pay-as-you-go prepaid credits, no subscription and no minimums.
SightRadar uses AI face matching and is built for consented use: photo delivery, identity verification and search within your own collections. Like any face recognition model it can make mistakes, and results vary with photo quality, lighting, pose and between people. Matches are similarity scores, not certainty, so set a threshold that fits your use case and keep a human review step for high-stakes decisions such as KYC.
API docs: https://sightradar.com/docs
What SightRadar does
AINave analysisLets developers index faces and search, verify or detect faces in photos through a Rekognition-compatible API.
- Best for
- DevelopersPhoto delivery teamsIdentity verification teams
- Use it to
- Finding a person across event photo collections from a selfie
- 1:1 identity verification with adjustable similarity thresholds
- Detecting faces in photos with confidence scores
- Migrating existing AWS Rekognition code to a different endpoint
- Deleting indexed face data through the API
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