Deepgram

deepgram.com
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Turn speech into text, text into speech, and power AI voice agents.

Description

Voice AI built for real conversations. · Power enterprise voice solutions with Deepgram’s Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Real-time, accurate, and built for scale. · Introducing Flux TTS · Our platform · A single, unified Voice Agent API · Choose your Voice AI journey

Deepgram is a cutting-edge platform that provides tools and APIs for creating sophisticated voice AI applications. It offers high-accuracy speech-to-text (STT) and text-to-speech (TTS) services, designed to handle real-time, low-latency audio processing. With Deepgram, developers can build conversational AI agents that interact with users through natural, human-like voices. The platform supports a wide range of use cases including customer service bots, real-time transcription, and accessibility solutions, making it a versatile choice for integrating voice capabilities into various applications.

Features

High-Accuracy Speech-to-Text
Real-Time Text-to-Speech
Multi-Language Support
Customizable Voice Models
Low-Latency Processing
Easy Integration with APIs.

Use cases

Customer Service Automation
Real-Time Transcription
Voice Assistants
Educational Tools
Accessibility Solutions.

FAQ

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.

Specs

Type Agent
SectionInfrastructure & MLOps
Pricing paid (от $4000/mo)
Platform Web only
Systems web
Hostingself-hosted
Who forIndividual
Site languageen
Rating4.94 (79 reviews)
Views706 899
Launched2024-07-30

Can do

agents api workflow-automation realtime transcription self-hosted embeddings tts stt

Integrations

teams

Platforms

web

Tags

voice synthesis audio transcription llm orchestration speech to text api text to speech api

Social

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Source code

repository

Found in sources

aiagentsdirectory aiagentslist github-lists moge neural-networked producthunt telegram vibecoderz

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