Amazon Rekognition
ML-Powered Image and Video Analysis at Scale
by Amazon Web Services (AWS) · Seattle, WA, USA · Founded 2006
What is Amazon Rekognition?
Amazon Rekognition is Amazon Web Services' cloud image and video analysis API that turns visual content into searchable data for developers, security teams, and media workflows.
It offers pre-trained detection models plus Custom Labels to train domain-specific classifiers, and exposes REST/SDK APIs for face detection and face search, object and scene detection, OCR text extraction, celebrity recognition, content moderation, and video segmenting/face tracking including real-time ingest via Kinesis.
Designed for teams without deep ML expertise, it integrates with S3, Lambda and other AWS services and uses a freemium pricing model with a 12-month free tier and pay-as-you-go billing.
In 2026 the service is mature and scalable, but one honest trade-off is that facial-recognition accuracy can vary across demographic groups and carries privacy and regulatory risks, so you should not rely on Rekognition alone for high-stakes identity decisions.
Amazon Rekognition — ML-Powered Image and Video Analysis at Scale Whether you're evaluating Amazon Rekognition for your team or comparing it to alternatives in the AI Development Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.
Key Features 8
Who Is Amazon Rekognition For
Pros & Cons
- High Facial Recognition Accuracy
- No ML Expertise Required
- Generous 12-Month Free Tier
- Scales Automatically With Demand
- Complex Pay-Per-Use Pricing Structure
- CLI Output in Raw JSON
- Limited Non-AWS Ecosystem Integration
Frequently Asked Questions
5 questionsFace Liveness analyzes a short selfie video to detect spoofs like printed photos, digital videos, deepfakes, and 3D masks. It works on React web, native iOS, and Android apps with a front-facing camera.
Group 1 includes face-related APIs like IndexFaces, CompareFaces, and SearchFaces. Group 2 covers detection APIs like DetectLabels, DetectText, and RecognizeCelebrities. Each group has separate tiered pricing.
Yes, Rekognition supports streaming video events through Amazon Kinesis Video Streams. It can analyze up to 120 seconds of video per event and charges $0.00817 per minute processed.
Amazon Rekognition Custom Labels can train a model with as few as 10 images using AutoML. Most models complete training in under 24 hours, and models exceeding 72 hours are automatically terminated at no charge.
Yes, Custom Moderation lets you train an adapter with as few as 20 annotated images to enhance the base moderation model for your specific use case, priced at $5/hr for training and tiered per-image inference costs.
Who is Amazon Rekognition for?
Amazon Rekognition is most useful for Security and Surveillance Engineers, Identity Verification Product Teams, Media and Content Moderation Teams and Smart Home Device Developers.
Amazon Rekognition pricing
Amazon Rekognition uses a freemium model: a usable free tier with optional paid upgrades. Headline pricing: From $0.001/image. For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.
What's New
New AWS customers receive up to $200 in Free Tier credits applicable to Amazon Rekognition and other eligible services.
Launched Custom Moderation allowing users to train adapters with as few as 20 annotated images for enhanced content moderation accuracy.
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Amazon Rekognition Pricing
From $0.001/image
- 1,000 images/month for image analysis
- 1,000 face metadata objects storage
- 60 minutes of video analysis per month
- 2 training hours for Custom Labels
- Tiered pricing reduces at higher volumes
- $0.10/min for stored video analysis
- $0.00817/min for streaming video events
- $1/hr Custom Labels training
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