Amazon Rekognition Content Moderation
- Android app
- Not listed
- Free plan
- Yes
- Paid plans from
- $0.10/mo
- Runs on
- api, Web

Summary
Amazon Rekognition Content Moderation uses machine learning and managed APIs to automate moderation of images and videos. It detects categories that include explicit or suggestive content, violence, drugs, tobacco, alcohol, hate symbols, gambling, and disturbing content. Results provide labels, confidence scores, and timestamps for video, which can support rules organized by a hierarchical taxonomy. Customers can train a Custom Moderation adapter for image analysis with as few as 20 annotated images. The service can connect low-confidence predictions to Amazon Augmented AI for review by teams or third-party reviewers. For stored video, the StartContentModeration API analyzes a video in an Amazon S3 bucket and publishes completion status to an Amazon SNS topic. AWS bills according to images or video duration processed, with no minimum fee or upfront commitment. The Free Tier lasts 12 months from account creation and includes 60 video-analysis minutes per month and two custom-adapter training hours per month. Images and videos passed to the service may be stored and used to improve it unless customers opt out; stored content is encrypted at rest using AWS KMS.
Who it is for
This service suits teams moderating image and video content in areas such as social media, gaming, ecommerce, advertising, and media and entertainment. It also fits teams that need human review for low-confidence results or image rules tailored with a custom adapter.
What is good
- Detects multiple image and video moderation categories.
- Results include labels, confidence scores, and video timestamps.
- Custom adapter training can use as few as 20 images.
- Low-confidence predictions can go to human review.
- No minimum fees or upfront commitments.
What to know first
- Text moderation is not supported.
- Free Tier lasts 12 months from account creation.
- Content may be stored and used for service improvement unless customers opt out.
- Charges depend on images or video duration processed.
Verdict
Amazon Rekognition Content Moderation combines managed image and video detection with custom adapters and optional human review. Consider its usage-based charges and content-handling terms when planning a moderation workflow.
Amazon Rekognition Content Moderation plans and pricing
All plansCompared on AI image recognition software
- Free plan
- Noaws.amazon.com
- Text moderation
- Noaws.amazon.com
- Image moderation
- Yesaws.amazon.com
- Audio moderation
- Noaws.amazon.com
- Video moderation
- Yesaws.amazon.com
- Custom policies
- Yesaws.amazon.com
- Human review workflow
- Yesaws.amazon.com
- Deployment options
- cloudaws.amazon.com
Facts
- Purpose
- Amazon Rekognition Content Moderation automates image and video moderation workflows with machine learning and managed APIs.aws.amazon.com · 2 Oct 2026
- Moderation categories
- It detects categories including explicit or suggestive content, violence, drugs, tobacco, alcohol, hate symbols, gambling, and disturbing content.aws.amazon.com · 2 Oct 2026
- Detection results
- The service returns detected labels and video timestamps with confidence scores, which can be used with a hierarchical taxonomy to create granular rules.aws.amazon.com · 2 Oct 2026
- Custom models
- Amazon Rekognition Custom Moderation lets customers train an adapter with as few as 20 annotated images for image analysis tasks tailored to their use case.aws.amazon.com · 2 Oct 2026
- Human review
- The service integrates with Amazon Augmented AI so teams or third-party reviewers can assess low-confidence predictions.aws.amazon.com · 2 Oct 2026
- Integrations
- The product page describes using Amazon S3 to store uploaded content and Amazon Augmented AI for human review.aws.amazon.com · 2 Oct 2026
- API workflow
- For stored video, StartContentModeration analyzes a video in an Amazon S3 bucket and publishes completion status to an Amazon SNS topic.docs.aws.amazon.com · 2 Oct 2026
- Security
- Amazon Rekognition API endpoints support HTTPS, and its documentation says communications are encrypted using TLS.docs.aws.amazon.com · 2 Oct 2026
- Data handling
- Images and videos passed to Rekognition may be stored and used to improve the service unless the customer opts out; the stored content is encrypted at rest using AWS KMS.docs.aws.amazon.com · 2 Oct 2026
- Compliance
- Third-party auditors assess Amazon Rekognition as part of multiple AWS compliance programs, while customers remain responsible for evaluating their own compliance obligations.docs.aws.amazon.com · 2 Oct 2026
- Use cases
- AWS describes use cases including social media, gaming, ecommerce, advertising, and media and entertainment.aws.amazon.com · 2 Oct 2026
- Scaling and billing
- AWS says the service processes from a few to millions of images and videos, charges based on images or video duration processed, and has no minimum fees, licenses, or upfront commitments.aws.amazon.com · 2 Oct 2026
Company
- Founded
- 2006aws.amazon.com · 28 Sept 2026
- Headquarters
- Seattle, Washington, United Statesaws.amazon.com · 28 Sept 2026
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Sources
- aws.amazon.com/rekognition/content-moderation/· checked 2 Oct 2026
- aws.amazon.com/rekognition/pricing/· checked 2 Oct 2026
- docs.aws.amazon.com/rekognition/latest/APIReference/API_Sta· checked 2 Oct 2026
- docs.aws.amazon.com/rekognition/latest/dg/security-data-enc· checked 2 Oct 2026
- docs.aws.amazon.com/rekognition/latest/dg/rekognition-compl· checked 2 Oct 2026
- aws.amazon.com/rekognition/video/· checked 28 Sept 2026




