Deepgram is a speech AI platform offering APIs for speech-to-text, text-to-speech, voice agents, and audio intelligence.

What is Deepgram used for?

It is used for transcription, voice assistants, call analytics, meetings, captions, and conversational agents.

How does Deepgram pricing work?

Deepgram uses usage-based pricing that varies by speech-to-text, text-to-speech, and voice-agent capability.

Does Deepgram support real-time transcription?

Yes. Deepgram provides streaming speech-to-text for real-time applications.

Can Deepgram build voice agents?

Yes. Its Voice Agent API supports real-time conversational AI agents.

What are Deepgram alternatives?

Alternatives include AssemblyAI, Speechmatics, Google Cloud Speech, Azure AI Speech, and ElevenLabs.

Deepgram

Name: Deepgram
Brand: Deepgram

Speech AI platform for transcription, text-to-speech, voice agents, and audio.

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What is Deepgram?

TL;DR

Deepgram provides speech AI APIs for real-time and batch speech-to-text, text-to-speech, voice agents, audio intelligence, and conversational AI applications across customer, media, and developer workflows.

APIs for transcription, speech generation, and voice AI.
Supports real-time streaming and prerecorded audio.
Built for founders creating voice agents and audio products.

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About

Deepgram is a speech AI platform providing developer APIs for speech-to-text, text-to-speech, voice agents, and audio intelligence. It is designed for products that need to understand or generate speech in real time, including voice assistants, customer-support systems, meeting tools, call analytics, media applications, and conversational AI. For founders and builders, Deepgram is useful when voice is a core product capability rather than a secondary feature. Developers can stream audio for real-time transcription, process recordings, generate natural speech, and build conversational agents that respond with low latency. The platform supports usage-based APIs, making it suitable for experimentation and production workloads. Teams should compare transcription, text-to-speech, and voice-agent costs separately because each capability has different rates and models. Use Deepgram when you are building a voice-first or audio-heavy product and need developer infrastructure rather than a consumer transcription app. It is particularly relevant to AI startups, SaaS builders, call-center platforms, meeting products, and voice-agent developers.

Use Cases

Speech-to-text

Transcribe live or recorded audio for meetings, calls, media, and voice-enabled applications.

Voice Agents

Combine speech recognition and voice generation to build real-time conversational AI agents.

Call Intelligence

Analyze customer calls and conversations for transcripts, summaries, insights, and operational signals.

Voice Interfaces

Add low-latency speech input and output to products, assistants, and interactive applications.

Key Features

Speech-to-text APIs
Text-to-speech APIs
Real-time Voice Agent API
Audio intelligence and streaming

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