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What is Dograh?

Dograh is an open-source platform that allows users to self-host a voice agent, equipped with a no-code workflow builder aimed at crafting production-ready voice agents. Teams can choose from a variety of inbound channels, speech-to-text services, language models, text-to-speech solutions, and telephony providers, or they can utilize advanced speech-to-speech models for direct audio communication that ensures smooth turn-taking, effective interruption management, and low latency. The platform supports both inbound and outbound calling and includes features such as widgets, telephony integrations, observability, tracing capabilities, and real-time analytics, along with a hybrid model that merges pre-recorded voice with TTS, accommodating over 70 different languages. Moreover, the MCP server supports multiple agent runtimes, including Claude Code, Cursor, OpenClaw, and Codex, allowing users to create, modify, and deploy voice agents directly from their development environments. Dograh can be deployed on personal servers, within a private cloud or virtual private cloud, or in a managed environment, enabling complete hosting of models within the user's own infrastructure. Its comprehensive features and flexibility make Dograh an excellent choice for teams eager to push the boundaries of voice technology, fostering innovation and enhancing user engagement in various applications.

What is Azure Voice Live API?

The Azure Voice Live API presents a robust and managed environment for developing high-quality, low-latency speech-to-speech agents, all through a single, cohesive interface. By combining speech recognition, generative AI, and text-to-speech functionalities, it allows developers to easily transmit audio inputs and obtain synchronized audio outputs, complete with avatar visuals and action triggers, while removing the necessity for separate backend management or model deployment. This powerful solution accommodates over 140 languages for speech-to-text and boasts more than 600 standard voices across over 150 text-to-speech languages, offering options for bespoke speech, phrase lists, distinctive voices, and avatars that resonate with brand identities. Developers can choose from a variety of generative AI models, including GPT-Realtime, GPT-5, GPT-4.1, GPT-4o, Phi, and other compatible bring-your-own models, each designed to fulfill specific requirements for intelligence, speed, and latency. Additionally, the API features sophisticated conversational tools such as noise suppression, echo cancellation, precise interruption detection, and end-of-turn detection, which enrich the overall user experience and facilitate smoother interactions. With these extensive capabilities, developers can craft increasingly engaging and lifelike conversational agents, suitable for a wide range of applications, thereby pushing the boundaries of interactive technology. This versatility ensures that the API can cater to various industries and use cases, making it an invaluable asset for future innovations in speech technology.

Media

Media

Integrations Supported

Microsoft Azure
Amazon Web Services (AWS)
Assembly
Calendly
Cartesia Sonic
Cloudonix
Deepgram
Gemini
Gladia
Groq
Hugging Face
Langfuse
Model Context Protocol (MCP)
OpenAI
Speechmatics
Telnyx
Twilio

Integrations Supported

Microsoft Azure
GPT-4o
Phi-4
gpt-realtime

API Availability

API Availability

Has API

Pricing Information

1¢ per minute
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Dograh

Company Location

United States

Company Website

www.dograh.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live

Categories and Features

AI Voice Agents

Not specified

Categories and Features

Text to Speech

Not specified

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