# Deepgram

> A voice-AI platform with fast, accurate speech-to-text (Nova) and low-latency text-to-speech (Aura), plus a bundled Voice Agent API.

Deepgram is a voice-AI platform centered on fast, accurate speech-to-text (its Nova models, with streaming, diarization, and 45+ languages) and low-latency text-to-speech (Aura). It also offers a bundled Voice Agent API that combines STT, an LLM, and TTS. It's a common choice for the transcription stage of a voice agent, and a single-vendor option for the whole loop.

Website: https://deepgram.com

Deepgram is a voice-AI platform whose core strength is **speech-to-text** — its Nova models offer fast, accurate streaming transcription across 45+ languages, with speaker diarization, smart formatting, and keyterm prompting. It pairs that with **text-to-speech** (Aura, tuned for very low time-to-first-byte) and a bundled **Voice Agent API** that wires STT, an LLM, and TTS into one real-time endpoint.

For building a [voice agent](/guides/voice/build-a-voice-agent), Deepgram is most often the **STT** stage — turning the user's speech into text with the low latency the loop demands — and increasingly a single-vendor option for the entire pipeline via its Voice Agent API.

## Highlights

- **Streaming speech-to-text (Nova)** — low-latency, accurate transcription with interim results, diarization, and 45+ languages.
- **Low-latency text-to-speech (Aura)** — sub-200ms time-to-first-byte voices built for real-time agents.
- **Voice Agent API** — a bundled STT + LLM + TTS endpoint for building voice agents fast.
- **Real-time features** — voice-activity detection, endpointing, smart formatting, and keyterm prompting.
- **Usage-based API** — STT billed per minute, TTS per character, the agent API per hour.

## In an AI-assisted workflow

```python
# stream microphone audio to Nova and consume interim transcripts for low-latency endpointing
from deepgram import DeepgramClient
dg = DeepgramClient()  # reads DEEPGRAM_API_KEY
# open a streaming connection, send audio chunks, receive partial + final transcripts
```

> [!TIP]
> For voice agents, lean on interim transcripts and tuned endpointing rather than waiting for a final transcript — reacting early to "the user has stopped" is what keeps the round trip conversational.

## Good to know

Deepgram is a commercial platform with a **freemium** model: free credits to start, then usage-based pay-as-you-go (STT per minute, Aura TTS per character, the Voice Agent API per hour) plus enterprise plans. It's a hosted API, so factor in availability and that audio passes through it. For the text-to-speech side, compare [ElevenLabs](/tools/elevenlabs); to compose a custom STT → LLM → TTS pipeline, see [Pipecat](/tools/pipecat).

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_Source: https://agentscamp.com/tools/deepgram — Tool on AgentsCamp._