Specifications
Best For:
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Developers & Product TeamsIntegrate real-time transcription and audio AI into applications, voice assistants, and SaaS platforms.
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Contact Centers & SalesAnalyze customer calls for insights, compliance, agent coaching, and real-time assistance.
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Media & Content CreatorsGenerate accurate captions, subtitles, transcripts, and searchable indexes for video and podcast content.
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Enterprise AnalyticsProcess large volumes of audio data for business intelligence, meeting analysis, and regulatory compliance.
Key Features
Gallery & Demo
Pros
- Industry-leading transcription accuracy and speed
- Powerful audio intelligence features (sentiment, diarization, summarization)
- Scalable and developer-friendly API with extensive SDKs
- Flexible deployment options (cloud & on-premise)
- Generous free tier and transparent, usage-based pricing
Cons
- Advanced features and high-volume usage can become costly
- Primarily an API service, requiring technical integration (no standalone desktop app)
- Custom model training may require enterprise plans
Frequently Asked Questions
What is Deepgram's pricing model?
Deepgram uses a pay-as-you-go, usage-based model with a generous free tier (including monthly credits). Pricing is per audio hour, with rates varying by features like language and diarization.
Does Deepgram support real-time streaming?
Yes, Deepgram offers low-latency, real-time streaming APIs for live audio transcription, perfect for live captioning and voice applications.
Can I use Deepgram on-premise?
Yes, Deepgram offers on-premise and private cloud deployment options for enterprises with strict data security and privacy requirements.
Release History
Aura Text-to-Speech & Enhanced Nova Model
Launched Aura, a real-time text-to-speech API, and released the enhanced Nova-2 general-purpose speech-to-text model with improved accuracy and new language support.