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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

    memoQ

    Score6.1 out of 10
    N/AmemoQ is a translation technology from the company of the same name headquartered in Budapest, boasting an emphasis on quality, innovation and customer satisfaction.N/A
    Pricing
    Google Cloud Speech-to-TextmemoQ
    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-TextmemoQ
    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-TextmemoQ
    Considered Both Products
    Google
    No answer on this topic
    memoQ
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    45 Answers
    No answers on this topic
    Delivers good value for the price
    97%
    Delivers good value for the price
    38 Answers
    No answers on this topic
    Happy with the feature set
    98%
    Happy with the feature set
    45 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    96%
    Lived up to sales and marketing promises
    27 Answers
    No answers on this topic
    Implementation went as expected
    94%
    Implementation went as expected
    30 Answers
    No answers on this topic
    Best Alternatives
    Google Cloud Speech-to-TextmemoQ
    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-TextmemoQ
    Likelihood to Recommend
    5.1
    (46 ratings)
    8.0
    (4 ratings)
    Usability
    7.1
    (27 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Cloud Speech-to-TextmemoQ
    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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    memoQ
    I believe memoQ is the best CAT tool of all the ones I have tested. As a PM, it has a lot of file filters that are highly customizable. You can even use cascading filters to add extra filter settings to the default file filter. Also, the use of REGEX is almost available everywhere in memoQ. You can use regex for filenames, regex for tagging items in files, regex when importing items, regex when exporting translations, regex for QA checking, regex for filtering, etc. They also added a regex library so you can save your favorite regex and easily reuse them. From a translator's point of view, the LiveDocs functionality is something that no other CAT tool has (to my knowledge). With LiveDocs you can just add any type of document, and if it has selectable text, memoQ will search this text as if it were a TM while translating. Even for non-bilingual documents, this is really helpful as you can sometimes need to reference other materials while translating.
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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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    memoQ
    • Filters
    • Resource management
    • Translation Network
    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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    memoQ
    • Assignments
    • Analysis
    • TMs
    Incentivized
    Read full review
    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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    memoQ
    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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    memoQ
    We are using memoQ for only certain projects and it’s not our main tool. It’s relatively slow and sometimes it can get too complicated. It does the job in the end but we prefer Memsource because of its easy-to-use interface as time is very important for us as project managers.
    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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    memoQ
    • Able to handle projects with difficult files that we would otherwise need to edit before translating.
    • Locking/tagging segments and strings with regex to reduce translation volume/cost.
    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.