A voice API can transform your business. Once integrated into your company’s applications, AI phone calls and other personalized approaches can build meaningful relationships between you and your customers. Suddenly, every touchpoint, from inbound sales to follow-ups, can be fully automated by friendly, empathetic, and helpful AI.
In this guide, we’ll start by defining speech APIs and explaining how they work. We’ll learn about the underlying models that power speech applications, including text-to-speech models, large-scale language models, and speech-to-text models. Then, we’ll learn about the business applications of voice calls and how software developers are leveraging AI phone calls to generate more revenue for their businesses. Finally, we’ll cover how you can integrate a voice call API into your apps right now, using Pagovision AI, the communications platform for AI phone calls.
Programmable Voice APIs: How AI Phone Calls Work
To build a voice chat application programming interface (API), a voice API provider must leverage three distinct models. The first model transcribes the speaker’s audio (speech to text) using a speech API. The second model, a large-scale language model, reads the transcribed audio and uses the context of the entire conversation to formulate a response. The third model, speech-to-text, returns the response in audio form to the speaker. The result: a phone call where an AI talks to a human.
Depending on the API, you’ll notice differences in speech capabilities, including multilingual offerings, live translation, and even custom voice clones. In addition, some APIs will offer customization options, such as providing the AI with a personalized message to determine its conversational style, as well as passing additional information about the speaker to improve the overall experience.
Integration with Pagovision AI
At Pagovision AI, we’ve made our API very easy to integrate. With just ten lines of code, you can integrate AI phone calls – for any (ethical) purpose – and handle both incoming and outgoing calls. Use cases range from customer service to inbound sales to reactivation. Pretty much anything you need – Pagovision AI can do it.
Visit our documentation to see exactly how you can use Pagovision AI’s AI voice calling API.
Benefits of using Voice APIs
There are many benefits to building a voice app for your customers. Great voice apps, such as outbound calls and customer service, allow you to better engage with your customers. Building personal relationships, using your best voice, and enabling advanced features for all your customers.
Imagine that the next time a customer visits your website: an integrated voice solution could allow them to easily navigate by speaking. Similarly, using AI phone numbers could allow your business to instantly respond to customer questions, allowing them to make purchases faster.
Such improvements in voice technology not only lead to better customer experiences, but also allow businesses to earn additional revenue. It’s a win-win situation that leads many businesses to seriously consider adding voice calling capabilities to their apps.
Industry-Specific Use Cases
Healthcare, for example, is an industry where voicemails are especially powerful; They allow telemedicine companies to prevent no-shows from appointments or rescheduling over the phone. In addition, AI voice APIs allow older companies to remove their interactive voice response (IVR) systems. Those systems are the same ones that force people to wait in line for hours. Imagine, instead, that the next time you call an insurance company, a human answers the phone. You instantly get the answers to the questions you have, allowing you to be healthier, faster.
That’s the power of Voice AI: anyone can quickly get the information they need, always in a personalized way.
Challenges of using Speech APIs
Most businesses are reluctant to take advantage of voice APIs for a number of reasons. Branding is one of them: if an AI representing your company says something offensive, rude, or unhelpful to a customer, how will that affect customers’ perception of your company? As a result, most brands require extensive visibility into every interaction AI has with their customers, giving them full visibility into every conversation and allowing them to dial in and enhance the AI’s message.
Another challenge that many businesses face when adding AI voice chat is knowing how to make AI good at conversation. By default, large-scale language models lack a contextual understanding of how normal people speak during a conversation. This is due to the way most LLMs are trained. Unfortunately, the result is that most companies are left helpless because they don’t know what the right messages are. This creates a burden for voice calling platforms: getting the right messages and providing them to customers.
Maintaining Conversational Quality
Another consideration for many companies is quality. Imagine your AI talking to people on the phone but it sounds robotic. That experience will probably feel unpleasant. Customers may get frustrated and want to talk to a human. The only way AI can replace humans is when the quality becomes incredibly high.
At Pagovision AI, our team has solved all the above problems. Our AI is incredibly conversational. We offer full visibility into every interaction. And we’ve built our systems to be incredibly secure and keep our customers’ data safe.
To sign up for a developer account and start using the Pagovision AI API, visit the Pagovision AI Developer Portal.
Conclusion
Voice APIs will transform both your business and every underlying industry in the world. Advances in dynamic caller ID, recorded audio files, and third-party applications will enable a new wave of innovations in customer experience and engagement.
To learn more about how you can transform your business and the way you connect with customers, sign up for Pagovision AI’s AI phone calling platform. Our API makes it easy to set up inbound and outbound phone calls with AI.