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Google Cloud Speech-to-Text vs. IBM Watson Text to Speech

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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

    IBM Watson Text to Speech

    Score9.1 out of 10
    N/AIBM Watson Text to Speech is an API cloud service that enables users to convert written text into natural-sounding audio in a variety of languages and voices within an existing application or within Watson Assistant. It can be used to give a brand a voice and interact with users in their native language. Increase accessibility for users with different abilities, provide audio options to avoid distracted driving, or automate customer service interactions to eliminate hold times.N/A
    Pricing
    Google Cloud Speech-to-TextIBM Watson Text to Speech
    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-TextIBM Watson Text to Speech
    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-TextIBM Watson Text to Speech
    Considered Both Products
    Google
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    45 Answers
    100%
    Would buy again
    7 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    38 Answers
    100%
    Delivers good value for the price
    7 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    45 Answers
    100%
    Happy with the feature set
    7 Answers
    Lived up to sales and marketing promises
    96%
    Lived up to sales and marketing promises
    27 Answers
    100%
    Lived up to sales and marketing promises
    5 Answers
    Implementation went as expected
    94%
    Implementation went as expected
    30 Answers
    100%
    Implementation went as expected
    7 Answers
    Best Alternatives
    Google Cloud Speech-to-TextIBM Watson Text to Speech
    Small Businesses
    Dragon Speech Recognition
    Score7.8 out of 10
    No answers on this topic
    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-TextIBM Watson Text to Speech
    Likelihood to Recommend
    5.1
    (46 ratings)
    9.1
    (7 ratings)
    Usability
    7.1
    (27 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Cloud Speech-to-TextIBM Watson Text to Speech
    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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    IBM
    I advise Watson for all scenarios where you need AI to speak. I don't use this for this goal, but I suppose that could be a good solution for tourism and travel: companies in the hospitality industry can make it easier for people to
    get around and offer tours in numerous languages, all at the same time. In telecommunications, could be used to create customized messaging that the caller can use with customers, and it can generate words from a customer’s records that are read to them in a professional and friendly voice. It's very good for English, for Italian is a little "robotic" but the pronunciation is right.
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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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    IBM
    • Improve customer experience and engagement.
    • Offers both on-premise and cloud deployments.
    • Automate requests and transactions in our agency.
    • Voice recognition.
    • Allows me to choose dialect which help select accent of the selected speaker.
    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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    IBM
    • Add sentiment variation.
    • Add parameter in order to change the characteristic of the voice.
    • Use custom voice in order to tune the speaker.
    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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    IBM
    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.
    Incentivized
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    IBM
    I've never been a fan of the robotic voice of text-to-speech tools and I've always thought they sounded flat and bland. Until I tried IBM Watson Text to Speech, that is. This service uses advanced deep learning techniques to synthesize speech output in natural-sounding voices. I was blown away by how good the voices were that I've been using it for personal stuff like journaling and brainstorming sessions. And I'm definitely going to be using this for podcasting and my YouTube channel.
    Incentivized
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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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    IBM
    • Enhance rapid and convenient customer interaction.
    • Client issues are easy to solve by allocating critical info in their native language.
    • Automating requests and transactions reduce hold time which improves customer satisfaction.
    Incentivized
    Read full review
    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.