Google Cloud Speech-to-Text vs. Knowlarity IVR

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Speech-to-Text
Score 7.3 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
Knowlarity IVR
Score 9.0 out of 10
N/A
Knowlarity is a provider of cloud based communications solutions to businesses in Southeast Asia and Middle Eastern markets.N/A
Pricing
Google Cloud Speech-to-TextKnowlarity 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-TextKnowlarity IVR
Free Trial
YesYes
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.Contact vendor for pricing information (in US Dollars)
More Pricing Information
Best Alternatives
Google Cloud Speech-to-TextKnowlarity IVR
Small Businesses
RingCentral Contact Center
RingCentral Contact Center
Score 8.1 out of 10
RingCentral Contact Center
RingCentral Contact Center
Score 8.1 out of 10
Medium-sized Companies
Zoom Contact Center
Zoom Contact Center
Score 8.4 out of 10
Zoom Contact Center
Zoom Contact Center
Score 8.4 out of 10
Enterprises
Verint Speech and Text Analytics
Verint Speech and Text Analytics
Score 8.4 out of 10
Verint Speech and Text Analytics
Verint Speech and Text Analytics
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud Speech-to-TextKnowlarity IVR
Likelihood to Recommend
6.8
(44 ratings)
8.0
(1 ratings)
Usability
7.4
(25 ratings)
-
(0 ratings)
User Testimonials
Google Cloud Speech-to-TextKnowlarity IVR
Likelihood to Recommend
Google
Real-time meeting notes for the smaller group audience. Strong language coverage of over 125+ languages. Handles mobile phone recordings and environmental noise effectively. Fast transcription turnaround also supports phrases, which improves industry-specific terminology. Generating QA/compliance audit logs. Also builds the sentences with accurate punctuation and sentence boundaries. It has vast global support centers whose primary focus in resolving customer issues and help multinational engineering in building great products
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Knowlarity
I think Knowlarity IVR solves our company to have one single IVR number for every department. Our sales team's call recording shows our areas to improve. And we converted more sales through the calls and its records to cross-check all client requirements. But sometimes it is less appropriate because it's more difficult to understand the dashboard.
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Pros
Google
  • So, first of all it gives the answer or translates in real time which is awesome.
  • It has speaker diarization, which detects who spoke each segment. This is a great feature because it can track the number of people as well.
  • It has an automatic punctuation system that detects each punctuation mark, such as a dot and a comma, and places it in the text.
  • Lastly, it offers a variety of language translations, providing a global platform for interaction with people from different countries.
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Knowlarity
  • Incoming call record.
  • Agent group.
  • Call list.
  • Dashboard for analysis.
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Cons
Google
  • Integration outside of the google eco system is challenging here.
  • Google Cloud Speech-to-Text works only with active internet connection if the internet bandwidth is low it effect the transcription process and can lead to data inaccuracy.
  • In terms of the pricing also this is at higher range which all the companies cannot afford like small scale organisation if they would like to use the tool they would look over the price to make the decision. Reducing the price can increase the product usage more
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Knowlarity
  • Notifications is bad.
  • Dashboard is not user friendly.
  • UI and design for dashboard is not good.
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Usability
Google
The reasoning behind my 10 is that the UI is very intuitive; I didn't require any formal training to use it. Google's speech-to-text is not just a conversion tool; it helps automate mundane tasks, saves time, and has an almost human-like understanding.
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Knowlarity
No answers on this topic
Alternatives Considered
Google
Google Cloud Speech-to-Text outperformed its competitors significantly in terms of accuracy, surpassing any other product available. Additionally, its support for multiple languages was unrivaled in the market. Moreover, for clients with robust bandwidth, Google Cloud Speech-to-Text offered real-time transcription capabilities, enabling users to transcribe live audio streams with minimal delay.
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Knowlarity
Yeah, very good but it has fewer features. MyOperator I used for another company but the call charge is much higher than Knowlarity IVR.
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Return on Investment
Google
  • It reduced our budget for assistants who transcribed files manually
  • It speeds up the process, because we can have a transcriptions straight after the interviews
  • It increased accuracy, because AI makes the transcriptions for every second, and you can find the words which were said at specific time.
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Knowlarity
  • We converted more sales.
  • Vai call only 10℅ more leads are converted.
  • Every single client were address via call record.
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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.