Add-ons for managing and analyzing assets

Use the Amazon add-on to automatically tag your images according to the detected categories.

Use the Google add-on to automatically tag your images according to the detected categories.

Use the Google add-on to automatically tag your videos according to the detected categories.

Use the Imagga add-on to automatically tag your images according to the detected categories.

Automatically tags images according to the detected celebrities.

Translate your automatically generated tags into any supported language or multiple languages.

Use Amazon's automatic, artificial intelligence-based image moderation add-on to make sure that no offensive images are displayed to your web and mobile viewers.

Use Amazon's automatic, artificial intelligence-based moderation add-on to make sure that no offensive videos are displayed to your web and mobile viewers.

Use Google's automatic, artificial intelligence-based moderation add-on to make sure that no offensive videos are displayed to your web and mobile viewers.

Automatically scan both your own assets and those uploaded by your users, making sure that no virus or malicious code is delivered to your web and mobile viewers.

Have your user uploaded images automatically moderated by human experts, making sure that no adult or offensive images are displayed to your web and mobile viewers.

Use AI-based object detection and content-aware algorithms to provide object-aware cropping, automatic image tagging, and AI-based image captioning.

Leverage Cloudinary’s AI Vision to automatically analyze, tag, and moderate your visual content.

Automatically generates speech-to-text transcripts of videos that you or your users upload to your product environment.

Generates screenshot images of public websites and further transform them to match your graphic design.

Use the Microsoft Azure add-on to automatically tag videos according to the detected categories, and generate speech-to-text transcripts of videos that you or your users upload to your Cloudinary product environment.

Extracts all detected texts from images and highlights them within the image.

Detects precise locations of up to 64 human faces in images and provides coordinates of essential facial features like eyes, mouth, nose and lips, and attributes such as gender and age.

Determines if duplicate images exist in your media storage