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What is VoiceBase?

Our clients utilize our flexible and scalable solutions to discover innovative methods for minimizing call center costs, boosting revenue opportunities, and reducing compliance risks. By harnessing cutting-edge technologies like AI, Natural Language Processing, and Intelligence Tools, we convert raw, unstructured call data into structured, valuable datasets that enable thorough analysis. This capability empowers companies to make data-driven decisions based on every interaction across sales, service, or marketing channels. Our Voice Analytics software proficiently transcribes conversations from contact centers and organizes the resulting information into practical insights. Thanks to natural language processing (NLP), the recordings are automatically transcribed for user convenience. Moreover, our top-tier query solution enables users to effectively analyze, inspect, and categorize calls. We also ensure automatic identification and redaction of sensitive data, such as PCI and PII, from both audio and transcripts to uphold privacy and security. Our system employs 40 paralinguistic metrics, which encompass silence, overtalk, dynamism, and sentiment, to deliver in-depth insights. By leveraging machine learning, we can accurately identify and forecast complex behaviors, further enhancing our clients' strategic capabilities. In addition to voice data, we broaden our analytical reach to include chat, email, CRM, and support interactions, fostering a comprehensive understanding of customer engagement while continuously improving our tools for optimal results. This ongoing refinement ensures that our clients remain at the forefront of industry standards and can adapt swiftly to changing market dynamics.

What is Amazon Transcribe?

Amazon Transcribe streamlines the process of incorporating speech-to-text capabilities for developers within their applications. Given that analyzing and searching through audio data can be quite challenging, converting spoken language into written text is crucial for effective application functionality. In the past, companies often depended on transcription services that required costly contracts and complicated integration efforts, which made the entire process unwieldy. Many of these traditional services relied on outdated technology that struggled to handle varied audio quality, particularly the low-fidelity sound common in contact center situations, leading to inconsistent transcription results. In contrast, Amazon Transcribe employs cutting-edge deep learning methods known as automatic speech recognition (ASR) to deliver fast and accurate speech-to-text conversions. This innovative tool is capable of transcribing customer service dialogues, automating subtitle generation, and creating metadata for media files, all of which contribute to a thorough and easily navigable digital archive. By adopting Amazon Transcribe, companies can significantly boost their operational efficiency and enhance customer interactions through improved accessibility to their audio resources. Furthermore, this solution not only saves time but also reduces costs associated with traditional transcription methods.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon API Gateway
Amazon Attribution
Amazon Chime
Amazon CloudSearch
Amazon Connect
Amazon Kendra
Amazon S3 Glacier
Amazon SES
Amazon SageMaker
Amazon Sumerian
Beedeez
Clarity Connect
Freshsales
HireVue Video Interviewing
SpotIQ
Tableau
Vonage Communications APIs (Nexmo)
n8n

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon API Gateway
Amazon Attribution
Amazon Chime
Amazon CloudSearch
Amazon Connect
Amazon Kendra
Amazon S3 Glacier
Amazon SES
Amazon SageMaker
Amazon Sumerian
Beedeez
Clarity Connect
Freshsales
HireVue Video Interviewing
SpotIQ
Tableau
Vonage Communications APIs (Nexmo)
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.00013
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

VoiceBase

Date Founded

2010

Company Location

United States

Company Website

www.voicebase.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/transcribe/

Categories and Features

Call Center

Blended Call Center
Call Logging
Call Recording
Call Scripting
Campaign Management
Database
Escalation Management
IVR / Voice Recognition
Inbound Call Center
Manual Dialer
Outbound Call Center
Predictive Dialer
Progressive Dialer
Queue Management
Real-time Chat
Reporting/Analytics

Workforce Optimization (WFO)

Interaction Analytics
Liability Recording
Performance Management
Quality Management
Real-time Guidance
Reporting
Speech Analytics
Surveying
Workforce Management
eLearning

Categories and Features

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

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