Google Cloud Speech-to-Text vs. Genesys IVR

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Speech-to-Text
Score 8.4 out of 10
N/A
Speech-to-Text on Google Cloud is a tool used to convert speech into text using an API powered by Google’s AI technologies. The vendor states users can transcribe content in real time or from stored files; deliver a better user experience in products through voice commands; and, gain insights from customer interactions to improve service.
$0.02
per min
Genesys IVR
Score 9.0 out of 10
N/A
Genesys provides IVR (interactive voice response) products and services.N/A
Pricing
Google Cloud Speech-to-TextGenesys IVR
Editions & Modules
Speech-to-Text V2 API
$0.016
per min
Speech-to-Text V1 API
$0.024
per min
No answers on this topic
Offerings
Pricing Offerings
Google Cloud Speech-to-TextGenesys IVR
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsSpeech-to-Text V1 API V1 offers data residency for multi region only. Models include short, long, phone call, and video. V1 does not include audit logging. New customers get $300 in free credits and 60 minutes for transcribing and analyzing audio free per month, not charged against your credits. Speech-to-Text V2 API V2 offers data residency for multi and single region. Models include short, long, telephony, video, and Chirp. V2 does include audit logging and support for customer managed encryption keys.
More Pricing Information
Community Pulse
Google Cloud Speech-to-TextGenesys IVR
Top Pros

No answers on this topic

Top Cons

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Best Alternatives
Google Cloud Speech-to-TextGenesys IVR
Small Businesses
RingCentral Contact Center
RingCentral Contact Center
Score 7.9 out of 10
RingCentral Contact Center
RingCentral Contact Center
Score 7.9 out of 10
Medium-sized Companies
Zoom Contact Center
Zoom Contact Center
Score 9.2 out of 10
Zoom Contact Center
Zoom Contact Center
Score 9.2 out of 10
Enterprises
Verint Speech Analytics
Verint Speech Analytics
Score 8.9 out of 10
Verint Speech Analytics
Verint Speech Analytics
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud Speech-to-TextGenesys IVR
Likelihood to Recommend
8.0
(20 ratings)
9.2
(2 ratings)
Usability
7.3
(1 ratings)
-
(0 ratings)
User Testimonials
Google Cloud Speech-to-TextGenesys IVR
Likelihood to Recommend
Google
Google Cloud speech-to-text is best suited when you want to work on live calls and transcribe interviews, meetings, customer service calls, and other audio or video recordings into text format. This helps create searchable archives, generate meeting minutes, and improve accessibility for individuals with hearing impairments. The service can provide real-time captioning for live events, webinars, broadcasts, and presentations. This enhances accessibility for individuals who are deaf or hard of hearing and those viewing content in noisy environments or without sound. It does not work well where the internet bandwidth is not that good; it requires a very good and strong internet connection to work well. And also where there are strong accents, especially in the Mandarin language.
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Genesys
Genesys IVR is an industry-leading IVR application. IVR is one of the core features of a contact center system and Genesys IVR plays an important role in Genesy's offering. The capability to customize it using code, and its ability to write complex backend logic, makes it a very powerful application capable of providing the end-users a plethora of options and enhancing the end-users CX.
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Pros
Google
  • An amazing tool which helps a lot in a meetings.
  • It's an efficient tool for improving efficiency by saving a lot of time typing. It saves at least 40-50% of our time, thus increasing efficiency.
  • Incredible accuracy with multiple accents & multiple language.
  • It takes punctuation into consideration.
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Genesys
  • Route large volume of clients to the correct queue
  • Enable customization of IVR messages and routing
  • Enable flexibility to control which specific clients get routed to with teams or agents.
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Cons
Google
  • The software does occasionally get confused by confusing terminology.
  • Its web-based interface can also feel a tad hard to use compared to more appealing desktop apps.
  • I've experienced the occasional technical issue, though the provider's support team is quick to troubleshoot.
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Genesys
  • UI Could be made more user friendly
  • Better reporting capabilities
  • Code Versioning
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Usability
Google
I can share insights with stakeholders in record time. And robust API connections let me pipe text into my CRM, marketing automation, and other mission-critical systems
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Genesys
No answers on this topic
Alternatives Considered
Google
The accuracy of Google Cloud Speech-to-Text is much better than any other tool. It has better API integration with 3rd party tools. The transcription is on at real-time basis with the best efficiency. It has good language support from across the globe. It provides better noise robustness compare to other tools.
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Genesys
Tested this software. I did not find it met our business needs
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Return on Investment
Google
  • Automating the transcription process saved time and resources compared to manual transcription.
  • Speech-to-text enabled us to make audio content accessible to a wider audience, including individuals with disabilities.
  • We gained valuable insights into customer preferences, behaviors, and sentiment by analyzing voice data.
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Genesys
  • Enhanced CX
  • A useful touchpoint in the customer journey
  • Taking Digital Banking to the next level
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ScreenShots

Google Cloud Speech-to-Text Screenshots

Screenshot of audio transcription creation -  Using the Speech-to-Text API from within the Cloud Console by creating an audio transcription is done in just a few steps. It can transcribe short, long, and streaming audio.Screenshot of creating subtitles for videos using AI -  Transcriptions with captions and subtitles can be added to existing content or in real time to streaming content. Google's video transcription model can be used for indexing or subtitling video and/or multispeaker content and uses similar machine learning technology as YouTube does for video captioning.Screenshot of adding Speech-to-Text to apps - The video pictures covers how to add AI to an application without extensive machine learning model experience. The pretrained Speech-to-Text API lets users enable AI for applications.Screenshot of Language, speech, text, and translation with Google Cloud API - The pictures displays a section of Google training course, where learners use the Speech-to-Text API to transcribe an audio file into a text file, translate with the Google Cloud Translation API, and create synthetic speech with Natural Language AI.