Speech-to-text is the technology that converts spoken audio into written text in real time, enabling computers to understand and process what a person says during a phone call or voice interaction.
Speech-to-text (STT), also called automatic speech recognition (ASR), is the foundational layer of any voice AI system. When a caller speaks, the STT engine transcribes their words into text so the AI can understand and process the meaning. The accuracy and speed of STT directly determines how natural the conversation feels.
Modern STT models have improved dramatically in recent years, reaching human-level accuracy on clear speech and performing well even with accents, background noise, and casual conversation. This improvement is what made practical AI receptionists possible at SMB price points.
Ringuno uses best-in-class STT technology to transcribe every call in real time. This powers both the live conversation — so Ringuno can respond accurately — and the post-call transcript that gets sent to you after every interaction.
Call transcripts are one of the most practical benefits of STT beyond the AI conversation itself. Instead of listening to call recordings, you can read a full text summary of what was discussed, search across past calls, and spot patterns in what your customers are asking.
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Voicebot
A voicebot is an AI-powered application that conducts spoken conversations over the phone, understanding natural speech and responding in a human-like voice.
Text-to-Speech (TTS)
Text-to-speech is the technology that converts written text into spoken audio, giving AI phone systems a human-sounding voice for natural caller interactions.
Natural Language Processing (NLP)
Natural language processing is the branch of AI that enables computers to understand, interpret, and generate human language — the core technology behind AI phone systems that hold real conversations.
Call Recording
Call recording is the automatic capture of phone call audio for later playback, quality review, training, or legal compliance purposes.