Amazon Rekognition Content Moderation vs Checkstep
Amazon Rekognition Content Moderation
aws.amazon.comCheckstep
checkstep.comSide by side
| Figure | Amazon Rekognition Content Moderation | Checkstep |
|---|---|---|
| Price from | $0.10/mo | $124.92/mo |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Plans published | 6 | 1 |
| Spec score · AI Content Moderation Software | 9.1 (#1) | 7.8 (#13) |
| Compliance | AWS states that third-party audits cover Rekognition under SOC, PCI, FedRAMP, HIPAA, and other compliance programs. | Its DSA plugin automates transparency reports, Statements of Reasons, notices and appeals. |
| Founded | 2006 | 2020 |
| Headquarters | Seattle, Washington, United States | London, United Kingdom |
| Human review | The service integrates with Amazon Augmented AI so teams or third-party reviewers can assess low-confidence predictions. | Checkstep combines automated moderation with human oversight and configurable moderator queues. |
| Integrations | TrustRadius lists Amazon S3, Amazon SageMaker, Amazon Comprehend, Amazon Translate, and Amazon Transcribe as integrations. | The partners page lists providers including Sightengine, Unitary, AWS, Anthropic, Modulate and Pasabi. |
| Purpose | Amazon Rekognition Content Moderation automates image and video moderation workflows with machine learning and managed APIs. | Checkstep is an AI content moderation platform that detects and acts on harmful user-generated content online. |
| Security | Amazon Rekognition API endpoints support HTTPS, and its documentation says communications are encrypted using TLS. | Checkstep says it does not store customer media; moderation data is stored in Ireland and encrypted in transit and at rest, and the company is SOC 2 and ISO 27001 certified. |
Plans
Amazon Rekognition Content Moderation
- Amazon Rekognition Custom Moderation adapterFree
- Amazon Rekognition Free TierFree
- Amazon Rekognition Video Content Moderation$0.10 a month
- Custom Moderation adapterPrice not published
- Standard image moderation (DetectModerationLabels, Group 2)Price not published
- Video content moderationPrice not published
In their own words
Amazon Rekognition Content Moderation
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.