Amazon Rekognition Content Moderation
aws.amazon.com
What it is
Amazon Rekognition Content Moderation uses machine learning and managed APIs to automate moderation of images and videos. It detects categories including explicit or suggestive content, violence, drugs, tobacco, alcohol, hate symbols, gambling, and disturbing content. Results include labels, confidence scores, and video timestamps, which can support granular rules based on a hierarchical taxonomy. Customers can train a Custom Moderation adapter for image analysis with as few as 20 annotated images. Low-confidence predictions can be sent to Amazon Augmented AI for review by internal teams or third-party reviewers. For stored video, StartContentModeration analyzes content in an Amazon S3 bucket and publishes completion status to an Amazon SNS topic. AWS charges according to images or video duration processed, with no minimum fees or upfront commitments. The Free Tier lasts 12 months from account creation and includes 60 video-analysis minutes per month and two custom-adapter training hours monthly. 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.
Spec sheet
- What it does
- Amazon Rekognition Content Moderation analyzes images and videos with deep learning and returns labels and confidence scores for inappropriate, unwanted, or offensive content.Read 15 Oct 2026 · aws.amazon.com
- Purpose
- Amazon Rekognition Content Moderation automates image and video moderation workflows with machine learning and managed APIs.Read 2 Oct 2026 · aws.amazon.com
- Integrations
- TrustRadius lists Amazon S3, Amazon SageMaker, Amazon Comprehend, Amazon Translate, and Amazon Transcribe as integrations.Read 15 Oct 2026 · trustradius.com
- Security
- Amazon Rekognition API endpoints support HTTPS, and its documentation says communications are encrypted using TLS.Read 2 Oct 2026 · docs.aws.amazon.com
- Compliance
- AWS states that third-party audits cover Rekognition under SOC, PCI, FedRAMP, HIPAA, and other compliance programs.Read 15 Oct 2026 · docs.aws.amazon.com
- Headquarters
- Seattle, Washington, United StatesRead 28 Sep 2026 · aws.amazon.com
- Founded
- 2006Read 28 Sep 2026 · aws.amazon.com
- API pagination
- GetContentModeration supports MaxResults and NextToken pagination when a video produces many moderation labels.Read 15 Oct 2026 · docs.aws.amazon.com
- API workflow
- For stored video, StartContentModeration analyzes a video in an Amazon S3 bucket and publishes completion status to an Amazon SNS topic.Read 2 Oct 2026 · docs.aws.amazon.com
- Company founded
- AWS states it launched in 2006.Read 15 Oct 2026 · linkedin.com
- Company headquarters
- LinkedIn lists Seattle, Washington as AWS headquarters.Read 15 Oct 2026 · linkedin.com
- Company legal name
- The maker is Amazon Web Services (AWS), the cloud business of Amazon.com, Inc.Read 15 Oct 2026 · linkedin.com
- Company size
- LinkedIn lists AWS company size as 10,001+ employees.Read 15 Oct 2026 · linkedin.com
- Confidence control
- Developers can set MinConfidence to trade recall for precision when filtering moderation results.Read 15 Oct 2026 · aws.amazon.com
- Custom models
- Custom Moderation trains an adapter on annotated images and supplies its AdapterID to DetectModerationLabels to improve results for a specific use case.Read 15 Oct 2026 · docs.aws.amazon.com
- 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.Read 2 Oct 2026 · docs.aws.amazon.com
- Deployment model
- TrustRadius classifies Amazon Rekognition as SaaS and reports no mobile application.Read 15 Oct 2026 · trustradius.com
- Detected categories
- The API detects adult content, violence, weapons, disturbing imagery, drugs, alcohol, tobacco, hate symbols, gambling, and rude gestures.Read 15 Oct 2026 · aws.amazon.com
- 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.Read 2 Oct 2026 · aws.amazon.com
- Documentation depth
- AWS documentation covers getting started, SDK installation, images, stored video, streaming video, moderation APIs, custom adapters, and human review workflows.Read 15 Oct 2026 · docs.aws.amazon.com
- Hierarchical labels
- Moderation results use a three-level taxonomy with L1, L2, and L3 labels and include each label's taxonomy level.Read 15 Oct 2026 · docs.aws.amazon.com
- Human review
- The service integrates with Amazon Augmented AI so teams or third-party reviewers can assess low-confidence predictions.Read 2 Oct 2026 · aws.amazon.com
- Human review integration
- Amazon Augmented AI is integrated so human reviewers can handle a smaller set of machine-flagged content.Read 15 Oct 2026 · docs.aws.amazon.com
- Image API
- Images can be moderated synchronously with DetectModerationLabels or asynchronously with StartMediaAnalysisJob and GetMediaAnalysisJob.Read 15 Oct 2026 · docs.aws.amazon.com
- Input requirements
- The documented image procedure accepts JPEG or PNG input supplied as bytes or as an Amazon S3 object.Read 15 Oct 2026 · docs.aws.amazon.com
- Licence
- Rekognition is presented as a managed AWS SaaS/API service; the reviewed product pages do not provide an open-source licence or self-hosted distribution.Read 15 Oct 2026 · trustradius.com
- Limit: complexity and configuration
- Gartner reviewers describe initial setup as complicated and slow, with rigid configuration and data limitations.Read 15 Oct 2026 · gartner.com
- Limit: cost for small companies
- TrustRadius reviewers say costs can be high for small companies and that subscription pricing affects return on investment.Read 15 Oct 2026 · trustradius.com
- Limit: latency and OCR scope
- TrustRadius reviewers report occasional API delays and say OCR/text processing was unavailable in their Rekognition use case.Read 15 Oct 2026 · trustradius.com
- Limit: learning curve and price
- G2 reviewers mention a learning curve, desire for lower pricing, and difficulty interpreting complex JSON output.Read 15 Oct 2026 · g2.com
- Limit: privacy and bias
- G2 reviewers raise privacy, surveillance, bias, and facial-recognition misuse concerns.Read 15 Oct 2026 · g2.com
- Moderation categories
- It detects categories including explicit or suggestive content, violence, drugs, tobacco, alcohol, hate symbols, gambling, and disturbing content.Read 2 Oct 2026 · aws.amazon.com
- Praise: accuracy and ease
- G2 reviewers repeatedly praise accurate image and video analysis, low false positives, ease of use, and straightforward AWS API integration.Read 15 Oct 2026 · g2.com
- Praise: API usability
- TrustRadius reviewers praise the simple API-call workflow, reliable accuracy, image tagging, precise object detection, and easy video tagging.Read 15 Oct 2026 · trustradius.com
- Praise: scale and ecosystem
- Gartner reviewers praise AWS scalability, mature core infrastructure, broad service coverage, IAM security, and governance tooling.Read 15 Oct 2026 · gartner.com
- Rating on G2
- 4.3 out of 5 from 28 reviewsRead 15 Oct 2026 · g2.com
- Rating on Gartner Peer Insights
- 4.6 out of 5 from 5320 ratingsRead 15 Oct 2026 · gartner.com
- Rating on TrustRadius
- 9.9 out of 10 from 5 reviewsRead 15 Oct 2026 · trustradius.com
- Regional availability
- Rekognition API endpoints are offered across AWS regions including US, Europe, Asia-Pacific, Canada, Israel, South America, and GovCloud, with feature differences by region.Read 15 Oct 2026 · docs.aws.amazon.com
- 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.Read 2 Oct 2026 · aws.amazon.com
- SDK and CLI setup
- The image moderation guide requires the AWS CLI or an AWS SDK plus IAM permissions and an S3 bucket.Read 15 Oct 2026 · docs.aws.amazon.com
- Security controls
- AWS documents IAM, data protection, VPC endpoints, resilience, vulnerability analysis, and infrastructure security for Rekognition.Read 15 Oct 2026 · docs.aws.amazon.com
- Service limitation
- AWS says the Content Moderation API is not exhaustive and does not determine whether content is illegal, including child sexual abuse material.Read 15 Oct 2026 · aws.amazon.com
- Service limitation: accuracy
- AWS recommends testing model accuracy on a customer's own datasets because precision and recall vary with the MinConfidence setting.Read 15 Oct 2026 · aws.amazon.com
- Supported languages
- TrustRadius lists English, Arabic, Russian, German, French, Italian, Portuguese, and Spanish.Read 15 Oct 2026 · trustradius.com
- Use cases
- AWS describes use cases including social media, gaming, ecommerce, advertising, and media and entertainment.Read 2 Oct 2026 · aws.amazon.com
- Video API
- Stored videos are moderated asynchronously through StartContentModeration and GetContentModeration.Read 15 Oct 2026 · docs.aws.amazon.com
Plans and prices
Every Amazon Rekognition Content Moderation plan and price →
Strong points and limits
Strong points
- Detects a range of image and video content categories.
- Returns confidence scores and timestamps for video.
- Custom adapter training can start with 20 annotated images.
- Low-confidence results can go to human review.
- Free Tier includes monthly video analysis and training hours.
Limits
- Does not moderate text or audio.
- Data may be used to improve the service unless customers opt out.
- Free Tier lasts 12 months from account creation.
- Billing is based on processed images or video duration.
Who it suits
This service suits teams moderating images or video in social media, gaming, ecommerce, advertising, or media and entertainment. Teams needing human review can connect low-confidence results to Amazon Augmented AI.
Verdict
Rekognition Content Moderation is focused on image and video workflows, with adjustable rules and an option for human review. Review the data-use terms and usage-based billing before sending content for analysis.
Where Specifiction places it
- AI Content Moderation Software#1 of 279.1