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SightRadar
Face recognition API that is a drop-in replacement for AWS Rekognition. Index, search, compare and detect faces, billed per photo with no subscription.
Launched on Oct 19, 2026
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Product Overview
SightRadar is a production-grade face recognition API that supports face search, 1:1 verification, and face detection at scale. It is built for teams that need to index photos, search for a person across large photo sets, compare two faces using a similarity threshold, and detect faces with confidence scores.
SightRadar is designed as a drop-in replacement for AWS Rekognition: existing code can keep the same request/response shapes by pointing the AWS SDK (and other SDKs) to SightRadar’s endpoint. It also treats photos with no faces as valid empty results (not errors) and uses per-photo billing rather than per-face billing, with GDPR-ready privacy controls.
Key features
- Rekognition-compatible request/response shapes to keep existing SDK code working
- Face search that finds one person across thousands of photos from a single selfie
- 1:1 verification that returns similarity scores using a threshold set by the developer
- Face detection that returns confidence scores that can be thresholded on
- Valid empty results for photos with 0 faces, avoiding error flows
- Privacy by design with encrypted, isolated face vectors per account and GDPR-ready DPA terms
How SightRadar works
- 1
Point SDK to endpoint
Configure the AWS SDK (or supported client) to send Rekognition-shaped requests to SightRadar’s endpoint.
- 2
Index faces from photos
Create a collection and index faces from your photo set so they can be searched later.
- 3
Search, verify, or detect
Call SearchFacesByImage, CompareFaces, or DetectFaces and apply confidence/similarity thresholds in your application logic.
Use cases
- Event photo delivery: a user uploads a selfie, and the system searches event galleries to find matching people across thousands of images.
- Media library moderation: the team compares two faces for verification and uses a chosen similarity threshold to decide whether they represent the same person.
- Real-time intake pipelines: uploaded photos are run through face detection, and only images meeting the confidence threshold proceed for downstream processing.
Who is it for?
SightRadar benefits engineering teams building face search, verification, or detection features who are already using AWS Rekognition-style workflows. It’s also a fit for companies that want pay-as-you-go, per-photo billing and GDPR-ready data handling for biometric data.