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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon Transcribe

    Score7.9 out of 10
    N/AAmazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, to automate closed captioning and subtitling, and to generate metadata for media assets to create a searchable archive. Amazon Transcribe Medical can be added to provide medical speech to text capabilities to clinical documentation applications.

    $0

    per second

    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

    Pricing
    Amazon TranscribeGoogle Cloud Speech-to-Text
    Editions & Modules
    Custom Language Model
    $0.0001
    per second
    Standard Pricing
    $0.0004
    per second
    Automatic Content Redaction
    $0.0004
    per second
    Transcribe Medical
    $0.00125
    per second
    Speech-to-Text V2 API
    $0.016
    per min
    Speech-to-Text V1 API
    $0.024
    per min
    Offerings
    Pricing Offerings
    Amazon TranscribeGoogle Cloud Speech-to-Text
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    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
    Amazon TranscribeGoogle Cloud Speech-to-Text
    Considered Both Products
    Amazon AWS
    Chose Amazon Transcribe
    I use Google Cloud Speech to Text and Amazon Transcribe. What makes Amazon Transcribe better for me is the accuracy of the audio-to-text conversion. I have found out that Amazone Transcribe is better at handling homophones, contractions, abbreviations, and acronyms. Another …
    Incentivized
    Google
    Chose Google Cloud Speech-to-Text
    One major setback is the integration of multiple languages, where Google has support for more than 120 languages, and Amazon only supports approximately 30 languages. Regarding the transcription behaviour, Google Translate is very accurate, but Amazon Translate sometimes spells …
    Incentivized
    Chose Google Cloud Speech-to-Text
    Google Cloud Speech-to-Text is more recommended by clients and also based on our research, we found that this is the best option for our application.
    Incentivized
    Chose Google Cloud Speech-to-Text
    The accuracy of Google Cloud Speech-to-Text is much better than any other tool. It has better API integration with 3rd party tools. The transcription is on at real-time basis with the best efficiency. It has good language support from across the globe. It provides better noise …
    Incentivized
    Chose Google Cloud Speech-to-Text
    Google Cloud Speech-to-Text shows an impressive ROI with increased efficiency, time savings, accuracy, speed, productivity, customer satisfaction, and cost-effectiveness.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    6 Answers
    98%
    Would buy again
    45 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    6 Answers
    97%
    Delivers good value for the price
    38 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    6 Answers
    98%
    Happy with the feature set
    45 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    96%
    Lived up to sales and marketing promises
    27 Answers
    Implementation went as expected
    No answers on this topic
    94%
    Implementation went as expected
    30 Answers
    Best Alternatives
    Amazon TranscribeGoogle Cloud Speech-to-Text
    Small Businesses
    No answers on this topic
    Dragon Speech Recognition
    Score7.8 out of 10
    Medium-sized Companies
    No answers on this topic
    No answers on this topic
    Enterprises
    No answers on this topic
    Verint Speech and Text Analytics
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon TranscribeGoogle Cloud Speech-to-Text
    Likelihood to Recommend
    9.4
    (6 ratings)
    5.1
    (46 ratings)
    Usability
    -
    (0 ratings)
    7.1
    (27 ratings)
    User Testimonials
    Amazon TranscribeGoogle Cloud Speech-to-Text
    Likelihood to Recommend
    Amazon AWS
    Amazon Transcribe can be an excellent tool for businesses where being able to convert speech or audio to text, in a searchable and reportable form, would be useful. For a call center (inbound or outbound), the ability to have a rich transcription of each call (and being able to search it for keywords) is an incredibly valuable benefit. For business meetings, being able to turn a 60 or 90-minute call into a readable transcript to search or refresh yourself or others is a very large time saver which will help you work more efficiently. The software does offer many deeper integrations, such as being able to track script usage (for call centers) or interruptions, deviations, etc.. which would be very valuable to a management team and for training purposes.
    Incentivized
    Read full review
    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
    Read full review
    Pros
    Amazon AWS
    • It converts live recordings to text with few errors.
    • It has powerful speech recognition models- it transcribes well even low quality audios.
    Incentivized
    Read full review
    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
    Read full review
    Cons
    Amazon AWS
    • It was not easy to bring Amazon Transcribe to life, but kudos to the vendor for the free support they offered.
    Incentivized
    Read full review
    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
    Read full review
    Usability
    Amazon AWS
    No answers on this topic
    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
    Read full review
    Alternatives Considered
    Amazon AWS
    I use Google Cloud Speech to Text and Amazon Transcribe. What makes Amazon Transcribe better for me is the accuracy of the audio-to-text conversion. I have found out that Amazone Transcribe is better at handling homophones, contractions, abbreviations, and acronyms. Another feature that makes Amazon Transcribe my No. 1 choice is its use of punctuation marks. I can also feed my own list of vocabulary into Amazon Transcribe to help me acquire better results.
    Incentivized
    Read full review
    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
    Read full review
    Return on Investment
    Amazon AWS
    • Cost reductions in KYC automating our video approvals.
    • Better customer service.
    • A good base for building new products and services around speech to text.
    Incentivized
    Read full review
    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
    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.