Deepgram - AI Voice for Fast Speech-to-Text and Text-to-Speech
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Deepgram Brief Overview
Deepgram is an AI voice platform that provides APIs for speech-to-text (STT), text-to-speech (TTS), voice agents, and audio intelligence. It is designed for developers and businesses that need accurate transcription, natural-sounding synthetic voices, and real-time voice automation at scale.
You can use Deepgram to transcribe calls, meetings, podcasts, and videos, build voicebots and contact center analytics, or power conversational AI assistants. It supports 36+ languages and is optimized for low latency, making it suitable for real-time applications like live support or voice agents.
Deepgram is widely adopted, with 200,000+ AI builders and enterprises using it, and it ranks highly on platforms like G2 for ease of use, accuracy, and developer experience.
Simple How-To-Use Guide
- Create an account
Go to the Deepgram website and sign up. New users receive $200 in free credits to test all major endpoints without a credit card. - Get your API key
After logging into the console, generate an API key. This key is used to authenticate requests from your app or backend to Deepgram’s APIs. - Test in the Playground
Use the web-based Playground to upload an audio file or stream audio, select a model (e.g., Flux or Nova‑3), and see transcripts, TTS output, or audio intelligence results without writing code. - Integrate with your application
- For speech-to-text: send audio via REST (for files) or WebSocket (for live audio) to get transcripts.
- For text-to-speech: send text to the TTS endpoint and receive an audio stream or file.
- For voice agents: use the Voice Agent API to handle full “listen-think-speak” conversations through a single WebSocket connection.
- Add intelligence and analytics
Optionally enable features such as summarization, sentiment, topic detection, and intent recognition to analyze content from calls or meetings.
Key Features and Functions
- Speech-to-Text (STT)
Real-time and batch transcription with very low latency (often under 300 ms), suitable for live captioning, contact centers, and conversational AI. Supports 36+ languages and many audio/video formats. - Text-to-Speech (TTS)
Aura models create responsive, natural-sounding synthetic voices for voicebots, IVR, and assistants, billed per character. - Voice Agent API
A unified speech-to-speech API that combines STT, TTS, and LLM orchestration so you can build voice agents without stitching multiple services together. - Audio Intelligence
APIs for summarization, topic detection, sentiment, and intent, which can be applied to transcripts or directly to audio to extract insights from conversations. - Advanced transcription tools
Speaker diarization, keyword boosting, multichannel audio support, noise handling, and smart formatting for cleaner, more useful transcripts. - Performance and reputation
Reviews frequently highlight Deepgram’s accuracy, speed, and suitability for high-volume, real-time use cases such as contact centers, medical transcription, and voicebots.
Deepgram Pricing
Deepgram uses a usage-based model with three main commercial tiers:
- Pay As You Go
- Start with $200 in free credit (up to ~45,000 free minutes on some lower-cost models, depending on your configuration).
- No minimums, no expiration on pay-as-you-go credits.
- Speech-to-text streaming models like Flux and Nova‑3 typically cost around $0.0077 per audio minute on Pay As You Go, with older Nova‑1/2 models closer to $0.0058 per minute.
- Growth Plan
- Starts around $4,000 per year with pre-paid credits and up to ~20% discount compared to Pay As You Go.
- Enterprise Plan
- Custom pricing for large volumes, self-hosting, dedicated support, and custom models.
Additional pricing details:
Voice Agent API is billed by WebSocket connection time, with standard tiers starting at about $0.08 per minute on Pay As You Go.
Batch STT can be even cheaper (e.g., Nova‑3 from about $0.0043 per minute on Pay As You Go).
TTS (Aura) starts around $0.015–$0.030 per 1,000 characters, depending on the model and plan.
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