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Deepgram

Free · From $4000/yr

Deepgram offers accurate, real-time AI tools for converting speech to text, text to speech, and building smart voice agents. It brings all these parts together in one simple API, making it easier and faster for developers and businesses to create advanced voice experiences.

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About Deepgram

Who It's For

This tool is for developers and businesses that want to add smart voice features to their products. It suits product teams, platforms, and enterprises needing accurate, real-time voice AI for their applications and systems.

What You Get

You get powerful AI services to turn spoken words into text and text into natural speech. It also includes a single API for building complete AI voice agents. This helps you create tools that listen, understand, and respond, all from one easy-to-use platform.

How It Works

Deepgram uses advanced AI models to process voice data quickly and accurately. It combines speech-to-text, text-to-speech, and AI agent logic into one simple API. This avoids piecing together many systems, making it faster and easier to build your voice AI. You can use it in the cloud or host it yourself.

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Features & Capabilities

🗣️ Core Voice AI APIs

Speech-to-Text (STT) API

Accurately converts spoken language into written text for various applications.

Text-to-Speech (TTS) API

Generates realistic and natural-sounding speech from input text.

LLM Orchestration

Integrates Large Language Model capabilities for advanced voice agent interactions.

Unified Voice Agent API

Combines STT, TTS, and LLM orchestration into a single, efficient API to reduce complexity and latency.

🔧 Flexible Deployment & Customization

Real-time & Batch Processing

Supports both immediate and deferred processing of audio data for diverse use cases.

Cloud & Self-Hosted Options

Provides deployment flexibility, allowing users to choose between cloud-based or on-premises solutions.

Custom Speech Models

Enables the creation of tailored voice models to meet specific enterprise accuracy and workflow requirements.

Use Cases

Building Real-time Conversational AI Agents

Businesses strive to provide instant, intelligent customer support, but building sophisticated conversational AI agents is complex. Deepgram's unified Voice Agent API, powered by Flux's low-latency speech recognition, integrates STT, TTS, and LLM orchestration into a single solution, enabling developers and product teams to quickly deploy highly accurate, real-time, and multi-turn voice applications for customer service and support, enhancing user experience and operational efficiency.

B2B SaaS, Customer ServiceFor: Developers, Product Teams, AI Builders

Advanced Transcription for Voice Analytics and Insights

Organizations need to extract actionable intelligence from spoken data but often struggle with transcription accuracy, especially for industry-specific terminology. Deepgram's STT APIs, including customizable models, provide highly accurate, real-time or batch transcription, allowing data analysts and operations managers to perform deep sentiment analysis, extract key information, and ensure compliance across customer service calls, meetings, and other voice interactions, driving better business decisions.

Contact Centers, Financial Services, B2B SaaSFor: Data Analysts, Operations Managers, Compliance Officers

Embedding Voice AI Capabilities into Existing Platforms

Software platforms and partners often need to augment their offerings with robust voice AI functionalities without building them from scratch. Deepgram offers enterprise-grade Voice AI APIs for STT, TTS, and conversational agents, designed for easy integration. This allows platform providers to embed high-accuracy, scalable voice features into their products, improving user interaction, accessibility, and the overall value proposition for their customers.

Technology Platforms, B2B SaaS, Software DevelopmentFor: Platform Architects, Product Teams, Developers

Frequently asked questions

Deepgram is a voice AI company that provides a suite of APIs for Speech-to-Text (STT), Text-to-Speech (TTS), and Voice Agents. It is designed for developers and enterprises to build scalable, real-time voice applications.

Deepgram offers Speech-to-Text (STT), which converts spoken audio into highly accurate text in real-time or from pre-recorded files. It also provides Text-to-Speech (TTS) to synthesize natural-sounding speech from text, and Voice Agents, an end-to-end conversational AI stack for building real-time, multi-turn voice applications.

Deepgram is different due to its end-to-end deep learning models optimized for both speed and accuracy, its unified platform that integrates STT, TTS, and LLM orchestration in a single API, and its real-time capabilities that handle interruptions (barge-in) and predict turn-taking. Additionally, it supports bringing your own LLM, allowing for pluggable language models including custom or third-party models.

To get started with Deepgram, you should sign up on the Deepgram website to get an API key. Then, use this API key to make requests to Deepgram’s STT, TTS, or Voice Agent endpoints. Finally, explore the developer documentation for code snippets and integration guides.

Yes. Deepgram allows you to bring your own LLM (Large Language Model) as the backbone for your voice agent. You can configure this in the Deepgram playground or via API.

Deepgram offers two deployment options: Cloud, which provides fully managed API services, and Self-hosted, allowing you to deploy STT and TTS services on your own infrastructure with access to container images and AI models.

Deepgram has several use cases including customer support to automate FAQ chatbots and support agents, sentiment analysis to analyze emotions in customer service calls, and information extraction to automatically pull key data from transcripts. It can also be used for compliance monitoring to ensure regulatory compliance by analyzing communication content, and for academic research to transcribe interviews and focus groups for analysis.

Deepgram provides integration guides for platforms like Arcee AI, Together.ai, and AWS, and you can use Deepgram’s APIs to connect with external systems, databases, and back-office applications.

Deepgram's pricing varies based on usage, deployment type (cloud or self-hosted), and support level, with detailed pricing information available on the Deepgram website.

Documentation and support for Deepgram can be found through developers.deepgram.com and help.deepgram.com. Additionally, you can join the Deepgram Developer Community for discussions and support.

Flux is Deepgram’s conversational speech recognition model, built specifically for real-time voice agents. It offers high accuracy and low latency.

Yes. Deepgram supports both real-time and batch processing for transcription and synthesis.

Deepgram supports a wide range of languages. Check the models and languages overview in the documentation for the latest list.

To troubleshoot issues, refer to the troubleshooting guides in the documentation. For self-hosted deployments, detailed support is available with an ongoing support contract.

Deepgram offers free tools and a free tier for developers to get started. Check the website for current offers.

Tags

voice synthesisllm orchestrationaudio transcriptionspeech-to-text apitext-to-speech api

Specifications

Deployment
Browser
API
Self-hosted
Cloud
Target Audience
Individual
Startup
Business
Enterprise
Complexity
Expert

Pricing

Pay As You Go

Per monthly

Free
  • Access all endpoints in public models
  • Concurrency Limits: Speech-to-text (up to 100 for REST API, up to 50 for WSS API, up to 5 for Deepgram Whisper Cloud)
  • Concurrency Limits: Text-to-speech (up to 15 for REST API + WSS API)
  • Concurrency Limits: Voice Agent API (up to 15 for WSS API)
  • Concurrency Limits: Audio Intelligence (up to 10 for REST API)
  • Discord and community help

Growth

Per annually

$4000
  • Includes all features from the Pay As You Go plan

Enterprise

Per annually

Contact sales
  • Access all endpoints in public models with our best discounts
  • Access to custom-trained speech-to-text models
  • Priority access to new endpoints and models
  • Highest concurrency support
  • Self-hosted deployment options
  • Paid Support plans available
  • Discord and community help

✓ Free plan • ✓ Plans from $4000 / annually • ✓ Enterprise options

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