Connect Amazon Rekognition integrations
Scrutinize visual media files by connecting Amazon Rekognition with Make to instantly analyze image and video content. Linking this computer vision system to our workflow automation tool lets you detect inappropriate material, extract printed text, and run real-time facial analysis. Register for a free account today to configure your first automated media processing pipelines.
Amazon Rekognition
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Amazon Rekognition
Automate Image and Video Analysis with Amazon Rekognition and Make
Build automated workflows with Make and Amazon Rekognition to moderate content, extract metadata, and send real-time alerts. Scale your computer vision capabilities with zero code.
No-code computer vision
Harness powerful image and video analysis capabilities without writing a single line of complex code.
Instant data enrichment
Extract text or object tags from uploaded images and save them directly to your CRM or spreadsheets.
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Automated content moderation
Automatically scan and filter uploaded images for inappropriate content before they reach your database or users.
Real-time event notifications
Send immediate alerts via Slack or email the moment specific faces or objects are detected in your media.
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FAQs
How do I get started with Make?
Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.
What is a scenario?
A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.
What is a module?
Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.
What is mapping?
Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.