Deepgram API
Deepgram API: A broad speech API suite with cloud and self-hosted deployment for production voice applications. Ranked #18 of 63 in AI Model APIs by our editors (7.7/10); pricing: Paid; best for speech intelligence with self-hosting.
At a glance
- Editor score7.7 / 10
- PricingPaid
- Best forSpeech intelligence with self-hosting
- Free planNo
- Language modelsNo
- Founded2015 · San Francisco, California, United States
- Facts checked13 Oct 2026
Where it wins
- Real-time and prerecorded speech-to-text plus text-to-speech APIs
- Self-hosted or cloud deployment with REST and WebSocket access
- Diarization, PII redaction, analytics and voice-agent orchestration
Where it doesn't
- No perpetual free subscription plan
- Public models and endpoints are specified for Pay As You Go and Growth
- Enterprise deployment and support options require contacting sales
Our verdict on Deepgram API
Deepgram API provides developer APIs for real-time streaming and prerecorded speech-to-text, text-to-speech generation, voice agents and audio intelligence. It targets startups, product teams and enterprises building transcription, conversational AI, contact-center, analytics and voice-agent applications. Teams can access the service through REST or WebSocket APIs, with official SDKs for JavaScript/TypeScript, Python, .NET, Go, Java and Rust. Cloud and self-hosted deployment support lets organizations align architecture with operational and data requirements.
Pricing is usage-based. Pay As You Go has no minimums or expiration, includes a $200 credit without requiring a credit card, and provides public models and endpoints; the published starting rate is $0.0003 per 1k input tokens, with rates varying by model and modality. Growth uses pre-paid annual credits, advertises savings of up to 20%, and adds priority scaling compared with Pay As You Go while retaining public models and endpoints. Enterprise is intended for large volumes, data or deployment requirements and offers custom support and deployment options through a sales process.
Its feature coverage extends beyond transcription: Voice Agent API supports LLM orchestration, while audio intelligence handles summarization and analysis. Speaker diarization, entity detection, PII redaction and smart formatting support contact-center and analytics workflows. Self-hosting is a meaningful fit for teams that need deployment control, while cloud endpoints suit smaller implementations. Choose Deepgram when speech is central and you need multiple modalities or deployment paths; consider a narrower API when your project only requires a single basic speech function or a simple fixed-price plan.
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Deepgram API pricing
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Deepgram API fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Language models | No |
| Image generation | No |
| Audio and speech | Yes |
| Multimodal models | Yes |
| Embedding models | No |
| Max context window | Not verified |
| SDK languages | JavaScript/TypeScript, Python, .NET, Go, Java, Rust |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, HIPAA, GDPR, PCI DSS |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Paid (source) |
| Website | deepgram.com |
| Facts checked | 13 Oct 2026 |
Alternatives to Deepgram API
- OpenAI APIA broad cloud API platform for production applications, agents, voice, search, and code.9.4
- Google Gemini APIA free-entry Gemini API for multimodal prototypes and structured model workflows.9.3
- Qwen API (Alibaba Cloud Model Studio)A very low-cost, broad multimodal API for teams building cloud AI features.9.2
See all Deepgram API alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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