Build smarter apps with image recognition and natural language processing Starting at $0/mo.
Einstein Vision and Language allow you to build AI-powered apps fast by making the power of image recognition and natural language processing accessible, regardless of skill level. You can easily train deep learning models at scale using Einstein’s integrated REST APIs, compatible with any programming language. Integrate deep learning models into your apps with Einstein Vision and Language to unlock valuable customer insights from text and images to bring new levels of productivity to your customers.
Einstein Vision allows you to build AI-powered applications by embedding image recognition into your application workflows so that you can do things like visual product search, product identification, and automated planogram analysis. Einstein Vision includes two APIs: Einstein Image Classification and Einstein Object Detection.
Einstein Image Classification: leverage pre-trained and customizable models to recognize and classify images specific to your business, at scale.
Einstein Object Detection: leverage customizable models to recognize and count distinct objects within images, providing granular details like size, count, and location of each object.
Einstein Language allows you to build AI-powered applications by embedding natural language processing into your application workflows so that you can do things like intelligent case routing, community sentiment analysis, and smart lead trending. Einstein Language includes two APIs: Einstein Sentiment and Einstein Intent.
Einstein Sentiment: leverage pre-trained models to classify the sentiment of unstructured text into positive, negative, and neutral classes.
Einstein Intent: leverage customizable models to categorize the intended meaning of unstructured text into user-defined labels to better understand customer’s needs across every channel.
The Einstein Vision and Language add-on gives you access to all of the deep learning APIs.
The available application locations for this add-on are shown below, and depend on whether the application is deployed to a Common Runtime region or Private Space. Learn More
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To provision, copy the snippet into your CLI or use the install button above.