Speech-To-Text
When choosing a Text-to-Speech API, developers face crucial practical questions: Which provider delivers the right balance of latency, voice quality, control, and scalability in real production systems?
Speech-To-Text
Automatic speech recognition (ASR), aka Speech-to-Text (STT) technology, is a constantly evolving field. Knowing which ASR model is right for your product or service can be challenging. CTC, encoder-decoder, transducer, and speech LLMs—each with distinct tradeoffs. What does it all mean? And what do you choose?!
Speech-To-Text
Choosing between AssemblyAI and Deepgram for your speech-to-text needs often comes down to answering these critical questions:
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.
