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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

    Score8.3 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
    100%
    Would buy again
    31 Answers
    98%
    Would buy again
    45 Answers
    Delivers good value for the price
    96%
    Delivers good value for the price
    25 Answers
    100%
    Delivers good value for the price
    32 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    31 Answers
    96%
    Happy with the feature set
    44 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    19 Answers
    100%
    Lived up to sales and marketing promises
    25 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    20 Answers
    85%
    Implementation went as expected
    29 Answers
    Best Alternatives
    Google Cloud Speech-to-TextVerint Speech and Text Analytics
    Small Businesses
    Dragon Speech Recognition
    Score9 out of 10
    Dragon Speech Recognition
    Score9 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
    8.0
    (31 ratings)
    8.4
    (48 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.6
    (2 ratings)
    Usability
    8.4
    (12 ratings)
    7.7
    (28 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
    So, I've had scenarios like when I collaborate with a team where the people are from around the world. So, I used it there, and we spoke to each other in their native language. That boosts everyone's confidence in our collaborative efforts. I've also utilized its model and the API in my projects, including a Virtual assistant and a multilingual application that allows us to learn languages from around the world. We tested it with a group of 12 people, and that's when it failed. I mean, it's not a failure, but it can't detect every person.
    Incentivized
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    Verint
    Using the verint speech to troubleshoot the mobile app and before we did not have any viability on this topic before. Also before we had no way to look at anything that the guest had going on and now we are really able to drill down in every way to take care of the guest needs
    Incentivized
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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.
    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.
    Incentivized
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    Verint
    This platform offers a wide range of features inclusive of the transcript generation which is text analysis and speech analysis. This helps in tracking the customer requirements and getting them a product they desire. Also the API integration with other tools have a scope of improvement. The UI can be improved and costing can be reduced
    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.
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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.
    Incentivized
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    Verint
    Verint Speech Analytics stacks up well against workforce management, we use workforce management mainly for forecasting and scheduling. We selected Speech Analytics because we want to know not only why customers are calling but what is being said in calls. Sometimes customer might get angry or they might ask for a supervisor so when we need to look at escalated calls Speech Analytics helps us pick those out.
    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 have the ability to provide actual data to back up leaderships feeling that some agents are performing poorly
    • we have the ability to provide direct feedback to our Sales team regarding good and poor contract handling
    • we have actual recording regarding handling of client fees
    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.