Models / OpenAIOpenAI / / Whisper Large v3 API
Whisper Large v3 API
State-of-the-art automatic speech recognition and translation model supporting 99 languages with 10-20% error reduction over previous versions.

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Whisper Large v3 API Usage
Endpoint
How to use Whisper Large v3
Model details
Performance Architecture:
• Whisper V3 Large deployment delivering transcription 15x faster than OpenAI
• Smart voice activity detection using Silero for precise audio segmentation
• Intelligent chunking and batching strategies optimized for longer audio files
• Advanced GPU utilization optimizations maximizing processing efficiency
• Sub-second processing speeds with dedicated endpoint infrastructure
Technical Capabilities:
• Enterprise-scale file handling supporting files exceeding 1GB vs competitors' 25MB limits
• Superior word-level alignment delivering highest quality timestamps available
• Comprehensive language support across 50+ languages with automatic detection
• Seamless processing of 30+ minute audio without complex chunking workflows
• Batch processing capabilities for large async workloads with consistent performance
Infrastructure Design:
• Production-ready API design built for real deployment scenarios
• Reserved GPU capacity for guaranteed processing speeds
• Cost-effective pricing at $0.015 per audio minute for high-volume applications
• Compatible with existing Whisper integrations for minimal migration effort
• Serverless and dedicated endpoint options for different performance requirements
Prompting Whisper Large v3
Applications & Use Cases
High-Speed Processing Applications:
• Customer support call analysis with rapid post-call insights
• Meeting transcription delivered quickly after recording completion
• Medical transcription services with efficient workflow processing
• Content transcription for accessibility and media creation
Enterprise Solutions:
• High-volume call center transcription and analysis workflows
• Educational platforms with voice-enabled learning and assessment tools
• Compliance and quality assurance audio documentation for regulated industries
• Large-scale content processing for media and entertainment companies
• Corporate training and onboarding with automated audio transcription
Voice-Enabled Applications:
• Conversational AI systems requiring accurate speech input processing
• Voice-controlled interfaces for accessibility and hands-free operation
• Multilingual communication platforms with translation capabilities
• Content creation tools for podcasts, videos, and audio content
• Voice analytics and sentiment analysis for customer experience optimization
Developer Integration:
• Foundation layer for voice AI application development
• Building block for voice-enabled customer support automation
• Integration component for educational technology platforms
• Core infrastructure for voice assistant applications
• API component for adding speech capabilities to existing applications