Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text. With Amazon Lex, the same conversational engine that powers Amazon Alexa is now available to any developer, enabling you to build sophisticated, natural language chatbots into your new and existing applications. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.

Get deeper insights into your data and reduce costs with AWS Machine Learning (ML). AWS supports you every step of the way to machine learning with the most comprehensive set of AI and machine learning services, infrastructure, and implementation resources.

Amazon Polly is a cloud service that converts text into lifelike speech. You can use Amazon Polly to develop applications that increase engagement and accessibility. Amazon Polly supports multiple languages and includes a variety of lifelike voices, so you can build speech-enabled applications that work in multiple locations and use the ideal voice for your customers. With Amazon Polly, you only pay for the text you synthesize. You can also cache and replay Amazon Polly’s generated speech at no additional cost.

This is the API Reference for Amazon Rekognition Image, Amazon Rekognition Custom Labels, Amazon Rekognition Stored Video, Amazon Rekognition Streaming Video. It provides descriptions of actions, data types, common parameters, and common errors.

AWS offers a broad range of AI services that can be used to build intelligent products. Some services include text-to-speech, speech-to-text, image and video analysis, and language translation. AWS AI services are available through APIs, making it easy to integrate them into applications to build AI products. These APIs are pre-build models that can help businesses get a product built without AI experience and expertise.

Automate and integrate user, token, channel, and policy management into your application with our API. The Anaconda API follows the general patterns of REST.

The Android Neural Networks API (NNAPI) is an Android C API designed for running computationally intensive operations for machine learning on Android devices. NNAPI is designed to provide a base layer of functionality for higher-level machine learning frameworks, such as TensorFlow Lite and Caffe2, that build and train neural networks.

The Animetrics Face Recognition API can be used to find human faces, detect feature points, correct for off angle photographs, and ultimately perform facial recognition. Information on facial features, including ears, nose, eyebrows, lips, chin are returned as coordinates on the image. The Animetrics Face Recognition API will also detect and return the gender and orientation, or “pose” of faces along 3 axes.

A special capability called “SetPose” is also available which allows the face to be re-rendered at a desired pose that is different than the captured pose. I.e. as if the photo was taken with respect to any desired angle relative to the camera. This is typically used when the facial photo is captured off angle and a zero-corrected fully frontal image (0 degrees pitch, yaw, and roll) is required.

Detected facial features may be corrected or modified to improve the final results of subsequent steps. For example, an eye in the picture may be hidden or obscured; requesting just eye feature points, manually correcting their locations, and feeding this data into a more detailed request will help improve the accuracy of additional feature point and pose detection.

Our simple API exposes AI models for speech recognition, speaker detection, speech summarization, and more. We build on the latest state-of-the-art AI research to offer production-ready, scalable, and secure AI models through a simple API. Used by thousands of breakthrough startups and dozens of global enterprises for mission-critical workloads.

Atomic Reach is a Content Intelligence Platform built to transform your content marketing with AI-driven language automation and data insights. With Atomic Reach's actionable insights, you save time, produce better content and deliver resul...

Aylien Text API is a powerful tool that offers various natural language processing functionalities. It helps businesses to build AI products by providing various features and capabilities to analyze and understand textual data. It can perform sentiment analysis, entity recognition, language detection, and classification tasks.

What is Azure Cognitive Services?

Cognitive Services brings AI within reach of every developer and data scientist. With leading models, a variety of use cases can be unlocked. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate advanced decision-making into your apps. Enable developers and data scientists of all skill levels to easily add AI capabilities to their apps.

See how to deploy AI solutions for various use cases using the programming languages you already know.