Speech-To-Text
Customer service is evolving fast to meet new challenges. Today's clients expect immediate, accurate answers to increasingly specific queries and complaints. Meanwhile, contact centers need to reduce costs, improve efficiency, and maintain compliance…all while delivering exceptional experiences.
Product News
Even the most advanced speech-to-text (STT) systems can make mistakes, especially when they encounter unfamiliar words like brand names, technical acronyms, or non-standard pronunciations. For call centers and customer service platforms, these missteps aren’t just minor glitches. They can lead to broken workflows, misinterpreted customer needs, and frustrating experiences on both ends of the call.
Speech-To-Text
CCaaS and BPO providers live and die by the quality of the customer experience they deliver. Clients rely on them not just to answer calls, but to do so with consistency, professionalism, empathy, and accuracy every time.
Speech-To-Text
The right speech-to-text (STT) API has to do more than just transcribe audio quickly and accurately. It must also handle data safely to meet compliance standards and user expectations. This is the case in all industries, from CCaaS and CPaaS providers to those operating in more regulated industries like finance and healthcare.
Speech-To-Text
For modern voice-enabled platforms, regulatory compliance isn't optional. Whether you're building contact center tools, sales enablement software, or AI voice agents, security is a cornerstone of trust, a growing customer expectation, and often a legal requirement.
Speech-To-Text
Every product that depends on voice input lives or dies by its speech-to-text performance. Whether you're enriching CRM data from support calls, powering live captions in meetings, or triggering downstream actions via LLMs, transcription accuracy and speed aren’t just nice-to-haves. They’re essential to product functionality. If your STT engine stalls on latency or mistranscribes a customer’s request, it can break automations, derail user experiences, and create costly manual work downstream.
