Whisper Medium (Deepgram)
Whisper Medium (Deepgram) is OpenAI's open-source Whisper medium-sized model deployed and served through Deepgram's low-latency inference infrastructure. This offers the multilingual breadth and quality of OpenAI's Whisper architecture with the operational benefits of Deepgram's optimized API platform — including faster response times and production-grade reliability.
Whisper Medium covers roughly 100 languages and performs well on a broad range of accents and audio conditions. Running it via Deepgram is a practical option for teams that want Whisper's multilingual coverage without managing their own model hosting, while benefiting from Deepgram's established API tooling.
Key Features
Multilingual transcription across approximately 100 languages
Whisper architecture with strong zero-shot cross-lingual capability
Served on Deepgram infrastructure for reduced operational overhead
Translation mode to convert non-English audio to English text
Handles a wide range of accents, recording conditions, and domains
Ideal Use Cases
Multilingual meeting and interview transcription
Research and academic audio transcription
Language learning content transcription across diverse languages
International customer support call processing
Audio translation pipelines converting foreign speech to English text
Example Prompts for Whisper Medium (Deepgram)
Technical Specifications
| Provider | Deepgram |
| Category | Audio |
| Modality | Audio -> Text |
Frequently Asked Questions
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