Amazon Rekognition Face Search review
A broad AWS-native toolkit for face search, image analysis, OCR, and custom models.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Amazon Rekognition Face Search is a cloud-based computer vision capability for developers and organizations building identity verification, media analysis, security, and other image-recognition workflows. It supports face collection creation, facial feature-vector extraction, face comparison, and searches using a face ID, supplied image, stored video, or streaming video. The service also includes object, scene, activity, landmark, color, and image-quality labeling, along with text detection and custom model training for objects, scenes, concepts, and object locations.
Pricing is usage-based. The Group 1 image analysis plan costs $0.001 per image, billed monthly, and includes the IndexFaces, SearchFacesByImage, SearchFaces, SearchUsersByImage, and SearchUsers APIs. A separate Face metadata storage plan stores the face and user vectors used for face and user search. Pricing varies by AWS region and usage volume, while the AWS Free Tier is time-limited rather than a permanent free plan. The platform is accessed through web and API interfaces and fits naturally with Amazon S3, Amazon Kinesis Video Streams, Amazon SageMaker AI Ground Truth, and AWS SDKs.
The main strength is breadth: teams can combine face search with image labeling, OCR, video analysis, face comparison, and custom computer-vision models in one AWS-centered workflow. That makes it suitable for applications that need more than a single matching endpoint. Its cloud deployment and AWS ecosystem focus are less appropriate for teams seeking a standalone local deployment or a narrowly scoped face-search tool. Choose it when face and user search must sit alongside wider image and video analysis; choose an alternative when those additional capabilities and AWS integrations are unnecessary.
Amazon Rekognition Face Search pros and cons
- Where it wins
- Face search across images, stored video, and streaming video
- Combines OCR, labeling, face comparison, and custom model training
- Integrates with S3, Kinesis Video Streams, SageMaker, and AWS SDKs
- Where it doesn't
- Cloud deployment requires an AWS-based architecture
- Usage-based pricing varies with image volume and AWS region
- Its broad feature set may exceed the needs of face search alone
Amazon Rekognition Face Search fact sheet, pricing and score →
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