As the landscape of speech-to-text APIs continues to evolve—with growing demands around latency, language support, and compliance—it’s more important than ever to ensure that your setup aligns with your product’s direction.
Introducing the STT API Buyer’s Guide — a practical resource for product teams to evaluate, compare, and optimize STT solutions for evolving needs.
Inside, you'll find:
▪️ Key criteria to assess APIs more strategically
▪️ Must-ask questions for your vendor
▪️ Insights to help you minimize trade-offs as you scale
Whether you're building voice agents, call analytics, or video transcription, this guide will help you get more value from your API setup.
Speech-To-Text
Real-time voice AI agents are among the most demanding applications in modern software engineering. Unlike traditional request-response systems, where latency can be measured in hundreds of milliseconds, voice agents must maintain the illusion of natural human conversation.
Speech-To-Text
The large language model sits at the heart of every modern voice agent. Speech-to-text and text-to-speech handle the audio, but the LLM fundamentally determines how intelligent, helpful, and natural your agent feels to users.
Speech-To-Text
The promise of voice AI for customer service is compelling. We now have intelligent agents that can handle inquiries, update records in real-time, and provide instant access to critical business data.
