Build with AssemblyAI's Streaming Speech-to-Text + Latest Tutorials
AssemblyAI's Streaming Speech-to-Text (STT) allows you to transcribe live audio streams with high accuracy and low latency. By streaming your audio data to our secure API, you can receive transcripts back within a few hundred milliseconds.



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Feature Spotlight: Streaming Speech-to-Text
AssemblyAI's Streaming Speech-to-Text (STT) allows you to transcribe live audio streams with high accuracy and low latency. By streaming your audio data to our secure API, you can receive transcripts back within a few hundred milliseconds.
Explore applications built with AssemblyAI's streaming:
- Real-Time Medical Transcription Analysis: See how our Streaming STT can be used alongside AssemblyAI's LeMUR in medical settings to automatically highlight crucial information like Anatomy, Medication, and Medical History in real-time.
- Voice Bot integration with Meta's Llama 3: Integrate our Streaming STT to transcribe user audio in real-time with Meta's Llama 3 as the language model for generating intelligent responses, and ElevenLabs for text-to-speech.
- Voice Assistants for call centers, customer support, and virtual receptionist applications: Build a real-time AI voice assistant using Python that can handle incoming calls, transcribe speech, generate intelligent responses, and provide a human-like conversational experience.
Visit our Streaming docs to learn more.
How to Do Hotword Detection with Streaming Speech-to-Text and Go: In this tutorial, you'll learn how to respond to hotwords in voice data using Streaming Speech-to-Text in Go. Read more>>
Detect scam calls using Go with LeMUR and Twilio: Learn how to detect scam attempts in phone calls, using LeMUR. Read more>>
Build an AI-powered video conferencing app with Next.js and Stream: Develop a Next.js video conferencing app that supports video calls with live transcriptions and an LLM-powered meeting assistant. Read more>>
Our Trending YouTube Tutorials
Real-Time Medical Transcription Analysis Using AI - Python Tutorial: Discover how to analyse medical audio using AssemblyAI’s Real-Time Transcription and Claude 3.5 Sonnet via LeMUR.
How to Build a WebApp to Summarize YouTube Reviews with LLMs: Develop an application that summarizes youtube video reviews using LLMs.
Build a Chatbot with Claude 3.5 Sonnet and Audio Data (in Python): Build an advanced chatbot using the Claude 3.5 Sonnet model and AssemblyAI's Speech-to-Text API.
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