Whisper Large v3 (Groq)
Whisper Large v3 is OpenAI's state-of-the-art automatic speech recognition model, trained on a large multilingual corpus to deliver highly accurate transcription and translation across dozens of languages. The v3 release improved noise robustness, reduced hallucination on silent or noisy segments, and refined language identification compared to earlier versions.
Running on Groq's LPU hardware, Whisper Large v3 transcribes audio significantly faster than real-time, making it practical for applications that previously found Whisper too slow for production — including live meeting transcription, podcast indexing, and voice-driven interfaces. Groq's deployment eliminates the GPU provisioning burden typically associated with running large Whisper models.
Key Features
Supports transcription and translation across 90+ languages
Groq LPU enables faster-than-real-time audio processing
Improved noise robustness and reduced hallucination versus v2
Automatic language detection without manual language specification
Word-level timestamp generation for caption and indexing workflows
Strong accuracy on accented and non-native speech
Ideal Use Cases
Real-time meeting and call transcription services
Podcast and video content indexing for search
Voice-to-text input for mobile and web applications
Multilingual subtitle generation for media content
Compliance recording transcription in financial and legal sectors
Example Prompts for Whisper Large v3 (Groq)
Technical Specifications
| Provider | Groq |
| Category | Audio |
| Modality | Audio -> Text |
Frequently Asked Questions
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