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Google Cloud Speech-to-Text vs. Verint Speech and Text Analytics

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud Speech-to-Text

    Score6 out of 10
    N/ASpeech-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

    Verint Speech and Text Analytics

    Score8.4 out of 10
    N/AVerint Speech Analytics is a tool used to transcribe and analyze millions of calls to discover customer insights and improve contact center performance in the cloud.N/A
    Pricing
    Google Cloud Speech-to-TextVerint Speech and Text Analytics
    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-TextVerint Speech and Text Analytics
    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-TextVerint Speech and Text Analytics
    Considered Both Products
    Google
    No answer on this topic
    Verint
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    45 Answers
    97%
    Would buy again
    90 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    38 Answers
    100%
    Delivers good value for the price
    66 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    45 Answers
    92%
    Happy with the feature set
    86 Answers
    Lived up to sales and marketing promises
    96%
    Lived up to sales and marketing promises
    27 Answers
    98%
    Lived up to sales and marketing promises
    47 Answers
    Implementation went as expected
    94%
    Implementation went as expected
    30 Answers
    81%
    Implementation went as expected
    56 Answers
    Best Alternatives
    Google Cloud Speech-to-TextVerint Speech and Text Analytics
    Small Businesses
    Dragon Speech Recognition
    Score7.8 out of 10
    Dragon Speech Recognition
    Score7.8 out of 10
    Medium-sized Companies
    No answers on this topic
    No answers on this topic
    Enterprises
    Verint Speech and Text Analytics
    Score8.4 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud Speech-to-TextVerint Speech and Text Analytics
    Likelihood to Recommend
    5.1
    (46 ratings)
    8.3
    (93 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.3
    (4 ratings)
    Usability
    7.1
    (27 ratings)
    7.8
    (74 ratings)
    Availability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    3.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    Google Cloud Speech-to-TextVerint Speech and Text Analytics
    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
    Incentivized
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    Verint
    In my experience, a lot of the times Verint Speech and Text Analytics is going to be the cheapest solution and this would be a good reason for a Business that does NOT currently have any solution whatsoever to get in at the cheaper price point. I think Verint does things well for a company that has not been in another solution that does it better. And Verint Speech and Text Analytics has a lot of areas that it can help business with that have not been in a different solution
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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.
    Incentivized
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    Verint
    • One of the things that I find extremely beneficial about Verint Speech Analytics is the transcription. Sometimes you have an hour call, an hour and a half call, and you don't have time to listen to an hour and a half call. The beauty is that we can find the transcription and then we can look in it. It specifies where if you look in the interaction details in the back of the call, you can actually see the transcription. You can see it'll identify where in the call, what line at what timestamp did that call hit your category and with what string, with what term did it hit. And that is extremely beneficial. And we're trying to go through and find those little points of, sometimes they're points of abrasion, sometimes there are things that are going really well. I love that we have a transcription. I love that we can also see the screens that is vital because a lot of times, and again, not that we're trying to find something bad, but the reality is in any industry, there's in any call center environment, should I say, there's call avoidance. There's always going to be some agents, it's just in any call center, in any industry, it happens.
    • Or sometimes our agents are just struggling. And if you see in real life, for example, a very high silence time, when we notice a trend, we'll start going into those calls and actually looking at those screens and seeing, is silence time call avoidance or could it be the agents are having difficulty utilizing the resources? Are the resources not clear? Is that what the delay is? Are they having trouble trying to find the answer? And a lot of times we found that too. We found they're searching and clicking and searching and clicking and it's because they just didn't know where to go. So that is a coaching opportunity. And sometimes it's a coaching opportunity, not so much in a positive way because they're purchasing things from Amazon. But I think, like I said, that's inherent in any call center environment. I do find the screens, the transcription, the trend analysis that's available within speech, there are so many things I could literally sit here and talk to you for quite some time.
    • We love it. And I'm even more excited personally now because I learned so much, as I was saying, about being in the cloud and being in that open-source environment where all of these enhancements that Verint has. And they're so often that they enhance their products and their offering now these little bots and AI to help with all of these different aspects, but that's only available if you're in the cloud and the open source. So there's a lot of benefit in being in prem, in net platform, which is where we are. And we were able to provide a lot of meaningful insight and guidance into a lot of different pain points in the company. But I anticipate, and I have full confidence, that we'd be a much more effective team once we're able to move into the cloud. So I'm very hopeful for that. I'm anticipating what else we could discover.
    Incentivized
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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
    Incentivized
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    Verint
    • Automated scrubbing of PCI and PII data from transcription transcripts and recordings. Using AI to detect the payment screens in a real time manner vs having to program triggers.
    • Easier way to bulk export transcriptions and recordings for our legal teams.
    Incentivized
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    Likelihood to Renew
    Google
    No answers on this topic
    Verint
    So excited for all the new bot functionality that is to come with Verint Interaction Analytics. AI is the future and Verint is leading the way!
    Incentivized
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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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    Verint
    Easy to use, the language model can be custom-tuned to your company's specific lingo and terms. It also has great front-end reporting and ease of back-end custom reports and integrations to the rest of the Verint ecosystem. This is a one-stop shop for great insights and a stepping stone to much more.
    Incentivized
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    Reliability and Availability
    Google
    No answers on this topic
    Verint
    There are few unplanned outages within the platform
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    Performance
    Google
    No answers on this topic
    Verint
    There is often latency within the Speech Analytics module.
    Incentivized
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    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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    Verint
    We did not have anything like this before but we did go through a long review and found out no other company had everything we needed. With our security and technology department we did decide that this was the best product for our business. Have all great thing to say and would recommend this to everyone
    Incentivized
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    Scalability
    Google
    No answers on this topic
    Verint
    The system is relatively reliable with minimal downtime. However, when there is an issue, it is often addressed slowly and causes significant business issues
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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.
    Incentivized
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    Verint
    • We are still developing ROI; we have a lot of data, but it's hard to get insights from the data at times. Adoption is something we are working on evaluating.
    • We have alerts that have saved us $ on benefit quoting errors.
    Incentivized
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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.