Streamline content moderation operations
Human-based content moderation alone cannot scale to meet safety, regulatory, and operational needs, which leads to a poor user experience, high moderation costs, and brand risk. Content moderation powered by machine learning (ML) can help organizations moderate large and complex volumes of user-generated content (UGC) and reclaim up to 95% of the time their teams spend moderating content manually.
Amazon content moderation services and solutions provide automation and artificial intelligence (AI) capabilities to implement a reliable content moderation solution without requiring machine learning expertise, to protect users from harmful exposure, while reducing content moderation costs, and safeguarding the organization from risk, liability, and brand damage.
Improve safety for users and brands
Protect users and brands from unwanted content exposure and associations by proactively reviewing every content piece.
How? Review images and videos against a wide variety of pre-defined categories, or from your own list of prohibited terms, to moderate media at scale with Amazon Rekognition. Extend your moderation capabilities to audio files with Amazon Transcribe. Derive and understand valuable insights and sentiment with Amazon Comprehend.
Streamline content moderation operations
Eliminate the need to build new tools or managing infrastructure with pre-trained and customizable Amazon Rekognition moderation models and workflows.
How? Convert speech in videos to text with Amazon Transcribe and check it for use of profanities or hate speech. Moderate text across languages with neural machine technology in Amazon Translate. Extend text analysis with the Natural Language Processing (NLP) capabilities in Amazon Comprehend. Integrate with Amazon A2I to provide human review for any ML workflow.
Increase reliability and lower costs
Create reliable, scalable, and repeatable cloud-based content moderation workflows without upfront commitments or expensive licenses.
How? Start with any of the AWS content moderation AI services under the AWS Free Tier and scale as needed.
SmugMug operates two very large online photo platforms, SmugMug and Flickr, enabling more than 100M members to safely store, search, share, and sell tens of billions of photos. Flickr is the world's largest photographer-focused community, empowering photographers around the world to find their inspiration, connect with each other, and share their passion with the world.
DeNA, one of Japan's leading mobile gaming and internet services companies with major business areas in mobile games, sports, live streaming, healthcare, and automotive, now offers a live audio distribution app called Voice Pococha.
CoStar is a leader in commercial real estate information, analytics, technology, and news, with one of the most comprehensive data platforms on the market, processing more than 150,000 images that are uploaded to its platform daily.
Mobisocial is a leading mobile software company, focused on building social networking and gaming applications. The company develops Omlet Arcade, a global community where tens of millions of mobile gaming live-streamers and e-sports players gather to share gameplay media.
Dream11 allows users post videos and pictures, and share images in group chats, and the company uses Amazon Rekognition to automate the media analysis of thousands of assets each day as part of its content moderation process to protect and deliver engaging experiences to its 100 million users.
Protect users from exposure to inappropriate content on content sharing platforms, such as dating apps and creativity networks.
Prevent hate speech, profanity, bullying, and other behaviors that lower the safety and engagement in your gaming spaces.
Keep illegal or controversial items and listings off your digital shelves to protect your marketplace and its users.
Finance and healthcare
Identify and protect sensitive personal identifiable or health information (PII, PHI) to meet internal standards and practices (S&P), comply with external regulation, and increase digital security for your users.
Moderate the contributions from students and educators to help build a safe, inclusive, and fulfilling learning experience.
Protect brands against unwanted associations to meet compliance, and to achieve brand objectives that lead to revenue growth, such as brand elevation and likeability.
Ready to get started?
Contact us for more information on machine learning solutions for content moderation
Contact the AWS Partner Network, to work with our global technology and consulting partners
The AWS Professional Services organization is a global team of experts that can help you realize your desired business outcomes when using the AWS cloud
Choose an AWS Solution
AWS Solutions Reference Architectures are a collection of architecture diagrams, created by AWS. They provide prescriptive guidance for applications, as well as other instructions for replicating the workload in your AWS account.
The AWS Content Analysis solution helps you to obtain a broader understanding of your media libraries, analyze and extract valuable metadata.
This solution helps brand-conscious customers understand the most popular topics being actively discussed by ingesting digital assets and performing near real-time inferences and analytics.
AWS Solutions Implementations help you solve common problems and build faster using the AWS platform. All AWS Solutions Implementations are vetted by AWS architects and are designed to be operationally effective, reliable, secure, and cost efficient. Every AWS Solutions Implementation comes with detailed architecture, a deployment guide, and instructions for both automated and manual deployment.
Do it yourself
Getting started is free and easy. Amazon offers several flexible approaches you can use to implement content moderation workflows successfully and at a low cost.
Thousands of images and videos free per month for 12 months with the AWS Free Tier.
2 million characters free per month with the AWS Free Tier.
60 minutes free per month for 12 months with the AWS Free Tier.
50,000 units of text, for each of the nine APIs per month, and five jobs, up to 1MB each for 12 months with the AWS Free Tier.
500 objects free for the first 12 months with the AWS Free Tier.