Overview

Introduction to the Slang In-App Voice Assistants and the underlying developer platform

Slang is the world's easiest platform for adding In-App Voice Assistants into existing mobile and web apps. The platform comes with a bunch of sophisticated, full-stack, pre-trained, multi-lingual, ultra-response, multi-modal, domain-specific, pre-built, and yet easily customizable Voice Assistants that are meant to consumed inside existing Mobile and Web Apps. The platform breaks down the process of adding these In-App Voice Assistants into very simple and intuitive steps, that is natural for a mobile or web developer, but yet provides the required flexibility for the developers to customize the experience to suit their specific app's needs.

Unlike traditional conversational platforms which provide individual components for building an In-App Voice Assistant and require developers to work with low-level conversational constructs like intents and entities (or slots) and design a complex conversational design layer about configuring and training the Assistants, the Slang Voice platform as a Service Platform provides pre-built and pre-trained Voice Assistants and also provides a very simple interface to customize and integrate them into their apps.

What is an In-App Voice Assistant?

An In-App Voice Assistant is a component that you can add to your app to augment the experience of using your app with Voice. We call this Voice Augmented eXperience or VAX. This component will allow users to talk to your app and get things done inside the app, in addition to the existing touch/mouse/keyboard based experience that already exists.

The Slang Voice Assistants enables your users to do multi-modal user journeys, where part of the journey can be done by voice and part of it can be done by touch (or click or keyboard).

The Slang Voice Assistants also supports multi-lingual inputs out of the box. So even if your app is in English, your users can talk to your app in any of the languages that Slang supports.

In the next few sections, we will understand more about how this works, the components that Slang provides, and also the steps needed to incorporate the Slang In-App Voice Assistants into your app.