6 Integrations with Smart IVR

View a list of Smart IVR integrations and software that integrates with Smart IVR below. Compare the best Smart IVR integrations as well as features, ratings, user reviews, and pricing of software that integrates with Smart IVR. Here are the current Smart IVR integrations in 2026:

  • 1
    Dialogflow
    Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.
  • 2
    Google App Engine
    Scale your applications from zero to planet scale without having to manage infrastructure. Scale your applications from zero to planet scale without having to manage infrastructure. Stay agile with support for popular development languages and a range of developer tools. Build and deploy apps quickly using popular languages or bring your own language runtimes and frameworks. You can also manage resources from the command line, debug source code, and run API back ends easily. Focus on writing code without having to manage underlying infrastructure. Protect your apps from security threats using firewall capabilities, IAM rules, and managed SSL/ TLS certificates. Operate in a serverless environment without worrying about over or under provisioning. App Engine automatically scales depending on your app traffic and consumes resources only when your code is running.
  • 3
    Azure Automation
    Automate all of those frequent, time-consuming, and error-prone cloud management tasks. Azure Automation service helps you focus on work that adds business value. By reducing errors and boosting efficiency, it also helps to lower your operational costs. Update Windows and Linux systems across hybrid environments. Monitor update compliance across Azure, on-premises, and other cloud platforms for Windows and Linux. Schedule deployments to orchestrate the installation of updates within a defined maintenance window. Author and manage PowerShell configurations, import configuration scripts, and generate node configurations—all in the cloud. Use Azure Configuration Management to monitor and automatically update machine configuration across physical and virtual machines, Windows, or Linux—in the cloud or on-premises. & more
  • 4
    Amazon Lex
    Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). With Amazon Lex, you can build bots to increase contact center productivity, automate simple tasks, and drive operational efficiencies across the enterprise. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure.
  • 5
    Amazon Polly
    Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Polly's Text-to-Speech (TTS) service uses advanced deep learning technologies to synthesize natural sounding human speech. With dozens of lifelike voices across a broad set of languages, you can build speech-enabled applications that work in many different countries. In addition to Standard TTS voices, Amazon Polly offers Neural Text-to-Speech (NTTS) voices that deliver advanced improvements in speech quality through a new machine learning approach. Polly’s Neural TTS technology also supports two speaking styles that allow you to better match the delivery style of the speaker to the application: a Newscaster reading style that is tailored to news narration use cases, and a Conversational speaking style that is ideal for two-way communication like telephony applications.
  • 6
    Azure Text to Speech
    Build apps and services that speak naturally. Differentiate your brand with a customized, realistic voice generator, and access voices with different speaking styles and emotional tones to fit your use case—from text readers and talkers to customer support chatbots. Enable fluid, natural-sounding text to speech that matches the intonation and emotion of human voices. Tune voice output for your scenarios by easily adjusting rate, pitch, pronunciation, pauses, and more. Engage global audiences by using 400 neural voices across 140 languages and variants. Bring your scenarios like text readers and voice-enabled assistants to life with highly expressive and human-like voices. Neural Text to Speech supports several speaking styles including newscast, customer service, shouting, whispering, and emotions like cheerful and sad.
  • Previous
  • You're on page 1
  • Next