Dragon Speech Recognition vs. Google Cloud Speech-to-Text

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dragon Speech Recognition
Score 7.2 out of 10
N/A
Dragon is a suite of AI-powered speech recognition solutions designed for professional dictation, document creation, and workflow automation. The platform utilizes Deep Learning technology to convert spoken language into text with high precision, allowing users to control their workstations and author complex documents through natural language.
$14.99
per month
Google Cloud Speech-to-Text
Score 6.2 out of 10
N/A
Speech-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
Dragon Speech RecognitionGoogle Cloud Speech-to-Text
Editions & Modules
Dragon Anywhere
$14.99
per month
Dragon Professional Individual, v15
$500
per license
Dragon Legal Individual, v15
$500
per license
Dragon Professional Anywhere
Contact sales team
Dragon Legal Anywhere
Contact sales team
Dragon Law Enforcement
Contact sales team
Speech-to-Text V2 API
$0.016
per min
Speech-to-Text V1 API
$0.024
per min
Offerings
Pricing Offerings
Dragon Speech RecognitionGoogle 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
Dragon Speech RecognitionGoogle Cloud Speech-to-Text
Considered Both Products
Dragon Speech Recognition

No answer on this topic

Google Cloud Speech-to-Text
Chose Google Cloud Speech-to-Text
Dragon is a long stading product in the market but the intuitiveness and that it was part of the Google ecosystem made me switch easily. it also allowed me to easily integrate with other Google product which we are so accustomed to, where Dragon was lacking and did not provide …
Best Alternatives
Dragon Speech RecognitionGoogle Cloud Speech-to-Text
Small Businesses
RingCentral Contact Center
RingCentral Contact Center
Score 8.5 out of 10
RingCentral Contact Center
RingCentral Contact Center
Score 8.5 out of 10
Medium-sized Companies
Zoom Contact Center
Zoom Contact Center
Score 8.7 out of 10
Zoom Contact Center
Zoom Contact Center
Score 8.7 out of 10
Enterprises
Verint Speech and Text Analytics
Verint Speech and Text Analytics
Score 8.4 out of 10
Verint Speech and Text Analytics
Verint Speech and Text Analytics
Score 8.4 out of 10
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User Ratings
Dragon Speech RecognitionGoogle Cloud Speech-to-Text
Likelihood to Recommend
9.0
(8 ratings)
5.4
(46 ratings)
Usability
8.0
(2 ratings)
7.2
(27 ratings)
Support Rating
5.0
(2 ratings)
-
(0 ratings)
User Testimonials
Dragon Speech RecognitionGoogle Cloud Speech-to-Text
Likelihood to Recommend
Microsoft
My job requires that I produce lengthy and detailed minutes of meetings and Nuance Dragon Speech Recognition is absolutely ideally suited for this purpose. Notably, meetings are recorded and it is extremely easy to playback the recording of meetings while dictating notes. This is a remarkable saving in time and effort in producing minutes that might otherwise take a few days. I cannot think of any scenario where it would be less appropriate to use Nuance Dragon Speech Recognition other than in a situation where it is not possible to dictate for whatever reason.
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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
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Pros
Microsoft
  • The main advantage is that it calibrates itself around your tone and accent.
  • Integration with many apps and operative system is good.
  • Integrating custom words and acronyms is very easy, so, over time, recognition becomes very precise and customized.
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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.
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Cons
Microsoft
  • Word recognition can always improve.
  • Sometimes puts stray words or characters on the page if you forget to tell the microphone to go to sleep.
  • Adds non-spoken words for no reason if there is a delay in speaking.
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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
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Likelihood to Renew
Microsoft
  • Nuance Dragon Speech Recognition is not up to par with any of the other AI voice recognition technologies currently available
  • The software is also very buggy and crashes frequently
  • Punctuation also seems like an afterthought for Nuance Dragon Speech Recognition software--requiring the user to speak out each comma, period, etc.
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Google
No answers on this topic
Usability
Microsoft
Overall, its gives the functionality that I need in my role and can support with automating tasks. I mainly use it for autotext, to add blocks of text and it works universally across all applications. It saves time and works well in Windows 11. It works very well navigating the web.
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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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Support Rating
Microsoft
One of the worst companies in terms of customer service getting the download file because of a laptop upgrade took me months of work. No jokes.
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Google
No answers on this topic
Alternatives Considered
Microsoft
Other than the more recent speech recognition tools from Microsoft, Google, etc., I have always used Nuance Dragon Speech Recognition. I was introduced to AI technology on an appraisal assignment. During the engagement, I had an opportunity to learn about the technology, and when I researched speech recognition software, the best reviews were of Nuance Dragon Speech Recognition. I purchased Nuance Dragon Speech Recognition and have stayed with the product.
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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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Return on Investment
Microsoft
  • Nuance Dragon Speech Recognition has made it easier to dictate progress notes
  • Nuance Dragon Speech Recognition has made seeing patients more efficient
  • Nuance Dragon Speech Recognition was a little expensive for our smaller practice
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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.
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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.