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Amazon Rekognition

Automate your image and video analysis with machine learning.

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Overview

Amazon Rekognition is a cloud-based service from Amazon Web Services (AWS) that makes it easy to add image and video analysis to applications. A key feature of Rekognition is its content moderation capabilities, which can detect inappropriate, unwanted, or offensive content in both images and videos. It can identify explicit or suggestive content, violence, weapons, and other categories, helping businesses to enforce their content policies.

✨ Key Features

  • Image and video content moderation
  • Detection of explicit and suggestive content
  • Violence and weapon detection
  • Facial recognition and analysis
  • Object and scene detection
  • Text in image detection

🎯 Key Differentiators

  • Integration with the broader AWS ecosystem
  • Scalability and reliability of the AWS platform
  • Pay-as-you-go pricing model

Unique Value: A scalable and cost-effective way to add image and video moderation to applications, backed by the power of AWS.

🎯 Use Cases (4)

Social media content filtering E-commerce product image review Photo and video sharing platforms Brand safety

✅ Best For

  • Automated moderation of user-uploaded images and videos
  • Flagging content for human review

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Text and audio moderation

🏆 Alternatives

Google Cloud Vision AI Microsoft Azure Cognitive Services Clarifai

Offers seamless integration with other AWS services, making it a convenient choice for businesses already on the AWS platform.

💻 Platforms

Web API

🔌 Integrations

AWS services API SDKs

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Phone Support
  • ✓ Dedicated Support (AWS Support plans tier)

🔒 Compliance & Security

✓ SOC 2 ✓ HIPAA ✓ BAA Available ✓ GDPR ✓ ISO 27001 ✓ SSO ✓ SOC 1, 2, 3 ✓ HIPAA ✓ GDPR ✓ ISO 27001

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Varies by feature (e.g., 5,000 images per month for the first year)

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