AI TOOL PROFILE

Voicegain: Speech-to-Text and Voice AI Platform

Voicegain helps software developers and contact center operators implement automated transcription and voice agents. It is designed for teams requiring private cloud or on-premise deployment to maintain control over voice data.

Pricing

Cloud STT uses usage-based pricing starting at $0.0015/min for offline basic. Edge deployments use port-based licensing starting at $60/port/month. A $50 signup credit is available for developers.

At a glance

Best for
Software developers, Enterprise contact centers, Healthcare payer organizations, SaaS companies building voice apps
Key use cases
Contact Center Automation, Compliant Call Recording, Meeting Transcription, Real-time Agent Assistance
Integrations
Twilio, Genesys, Cisco, Avaya, FreeSWITCH
Visit VoicegainVoicegain software interface screenshot

How AI is used

Voicegain is a Speech-to-Text (STT) and Automatic Speech Recognition (ASR) platform for developers and enterprise companies. It offers tools for converting audio to text, including batch processing through its Omega model, real-time streaming via its Kappa model, and an implementation of OpenAI's Whisper.

The platform supports high-security requirements, featuring SOC 2 Type 2 certification and HIPAA-ready processing. It provides tools for speaker diarization and the redaction of PII, PHI, and PCI data to help businesses meet compliance standards.

Buyers can choose between a multi-tenant cloud service or deploying the platform within their own VPC or on-premise datacenter using Kubernetes. This allows organizations to keep audio data within their own infrastructure.

Buyers should confirm whether they need the basic mono-channel models or the enhanced models for two-channel call center audio. For real-time streaming, users should verify support for protocols such as WebSockets or gRPC.

Key Features

  • Batch and Real-time Transcription

    Supports offline batch processing and live streaming speech-to-text via various protocols.

  • PII, PHI, and PCI Redaction

    Designed to identify and mask personally identifiable information and payment data in text transcripts and audio recordings.

  • Speaker Diarization

    Supports the separation of different speakers in mono-channel audio recordings.

  • Custom Acoustic Model Training

    Allows users to train models on their own audio data to help improve accuracy for specific domains or accents.

  • Flexible Deployment Options

    Supports multi-tenant cloud, Virtual Private Cloud (VPC), and on-premise datacenter deployments.

  • Telephony Bot APIs

    Provides tools to build conversational IVRs and voice agents that integrate with SIP sessions.

Use Cases

  • Contact Center Automation

    Supports the creation of AI voice agents for routing calls, answering FAQs, and automating routine inquiries.

  • Compliant Call Recording

    Transcribing call center interactions while redacting sensitive data for HIPAA and PCI compliance.

  • Meeting Transcription

    Converting recorded or live meetings from platforms like Zoom or Microsoft Teams into text for note-taking.

  • Real-time Agent Assistance

    Providing live transcription of agent-caller interactions to support human agents with real time intelligence.

Integrations

  • Twilio
  • Genesys
  • Cisco
  • Avaya
  • FreeSWITCH
  • Zoom
  • Microsoft Teams
  • Google Meet

FAQ

Do I need a credit card to start using Voicegain?

No, developers can sign up for a developer account and receive $50 in free credits without providing a credit card.

Can Voicegain be deployed on a company's own servers?

Yes, Voicegain supports deployment in a customer's own datacenter, on-premise, or within a Virtual Private Cloud (VPC) using Kubernetes.

What is the difference between the Basic and Enhanced STT models?

The Basic model supports mono-channel audio without diarization or PII redaction, while the Enhanced model supports two-channel call center audio, diarization, and PII redaction.

Source category: Software Development

Source subcategory: Voice AI

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