Models / OpenAI / / Whisper Large v3 Turbo (Streaming) API
Whisper Large v3 Turbo (Streaming) API
Realtime speech transcription optimized for voice agents

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Whisper Large v3 Turbo enables realtime voice agent applications with WebSocket streaming transcription. Purpose-built infrastructure combines optimized model inference with intelligent voice activity detection and turn detection, delivering complete transcripts 1.4 seconds faster than alternatives. Ideal for conversational AI, customer support bots, and any application requiring natural, low-latency voice interaction.
Whisper Large v3 Turbo (Streaming) API Usage
Endpoint
How to use Whisper Large v3 Turbo (Streaming)
Model details
Architecture Overview:
• Same 1.55B parameter Whisper Large v3 model optimized for streaming inference
• WebSocket-based architecture eliminating connection overhead
• Advanced voice activity detection (VAD) using carefully tuned detection thresholds
• Purpose-built infrastructure for realtime audio processing with minimal quality degradation
Streaming Methodology:
• Processes audio as it arrives rather than waiting for complete files
• Intelligent turn detection determining when users finish speaking
• Optimized for time-to-complete-transcript not just time-to-first-token
• 500ms silence threshold tuning for natural conversation pacing
Performance Characteristics:
• Industry-leading 2488ms baseline response time (1.4 seconds faster than alternatives)
• Minimal quality degradation compared to batch processing
• Consistent low-latency performance under production load
• WebSocket connection multiplexing for efficient resource utilization
• Geographic distribution ensuring low latency regardless of user location
Prompting Whisper Large v3 Turbo (Streaming)
Applications & Use Cases
Voice Agent Applications:
• Customer support automation with natural conversation flow
• Interactive voice response (IVR) systems with realtime understanding
• Voice-enabled chatbots and virtual assistants
• Healthcare appointment scheduling and patient intake
• Financial services customer authentication and account management
Realtime Communication:
• Live meeting transcription with immediate accessibility
• Real-time translation services for multilingual conversations
• Voice-to-text note-taking during calls and meetings
• Live captioning for broadcasts and presentations
Enterprise Contact Centers:
• AI agent handling hundreds of simultaneous customer calls
• Call routing based on realtime speech understanding
• Agent assist tools providing realtime suggestions
• Quality monitoring with live transcription and analysis
Conversational AI Platforms:
• Voice interface for LLM-powered applications
• Multi-turn dialogue systems requiring low latency
• Voice-controlled smart home and IoT devices
• Hands-free voice interfaces for accessibility
High-Volume Deployments:
• SaaS platforms offering voice capabilities to customers
• Contact center software handling enterprise-scale call volumes
• Voice agent platforms requiring consistent sub-second performance
• Applications where response latency directly impacts user satisfaction
