Amazon 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
Score 8.3 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
Amazon Transcribe
Google 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 Transcribe
Google Cloud Speech-to-Text
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Speech-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 Transcribe
Google Cloud Speech-to-Text
Considered Both Products
Amazon Transcribe
Verified User
Anonymous
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 …
I like Google Cloud Speech-to-Text the most when it comes to other apps I have used so far. It have reduced my work, saved lot of time and made me less stress in meetings. It has also helped us in taking requirement gathering, knowledge transfer important notes to further …
While both Speechify and Google Speech-to-text do the job, certain elements that I find missing on Speechify are: it only works on Desktop with Windows OS, the customizations aspect is missing, there is no mobile app support (people these days want everything on their mobile …
I've also trialed IBM Watson Speech to Text for similar use cases. While both are highly capable, I find the Google Cloud Speech-to-Text software's accuracy and integrations to be a cut above. Harnessing Google's speech recognition prowess has elevated our firm's value …
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 …
1. It's an efficient tool for improving efficiency by saving a lot of time in typing. 2. It saves at least 40-50% of our time, thus increasing efficiency. The amazing thing I liked about it is the accuracy with multiple accents & multiple languages. 3. It also takes …
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 …
Google Cloud Speech-to-Text is better than these other services. The main driver is the cost for the service and what you get, the value proposition is very good. Also, the scalability of Google Cloud Speech-to-Text is great, so that down the line, as our needs change and …
Google Cloud Speech-to-Text shows an impressive ROI with increased efficiency, time savings, accuracy, speed, productivity, customer satisfaction, and cost-effectiveness.
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 …
Google is far more ahead when compared to Amazon product with similar capabilities and helps to understand and interpret the speech in a much better and clarified way which helps to solve the business use case in a quicker manner and helps to reduce the over all time taken …
Is very easy to implement. We simply selected each feature and obtain great data from meetings. Our team was pleased to use it. It converted data accurately. We recommend it!!
Google Cloud Speech to Text has a significantly cleaner and easier-to-use User Interface. If the user is already familiar with the Google Cloud product suite, then onboarding with this software will be an extremely smooth process. If a user has previously used other …
We use Google Speech to Text on the recommendation of a partner who uses it, in fact we do not evaluate other applications such as Amazon Transcript or similar
They just remind me of each other. Whenever I have a question, whether for personal or for professional reasons, I take out my smartphone, click the Gemini app, and then click the mic to ask my question and have the answer read back to me. I love Googles AI System.
It delivered high accuracy in accented and noisy environments. Regarding its language support, it offers a variety of languages and dialects. Its's Api's are well-documented and easily integrated with our GCP-based stack. Also, its deployment is fast, and it is cost-effective. …
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.
In our real time meetings or webinars where larger audience are expected we have enabled the captions options with Google Cloud Speech-to-Text tool this start transcribing the complete audio conversation in the neat text format. Also while performing the interview process as well we use this tool to make sure that we adhere to certain rules and are being checked by the superior management team to make sure the transcription has required questions being asked on for quality analysis. Also during the customer call we use this tool to make sure two way communication is transcribed and will be later reviewed when there is an escalation by the superior management
There is a small learning curve to begin using ALL of the features the software offers. Additional tech support may be required for some integrations, so it's worth looking into if planning to use all of the features they offer.
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.
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.
It delivered high accuracy in accented and noisy environments. Regarding its language support, it offers a variety of languages and dialects. Its's Api's are well-documented and easily integrated with our GCP-based stack. Also, its deployment is fast, and it is cost-effective. And if we talk about its translation, it gives real-time and generic translation with great punctuation. Finally, its speaker diarization makes it a cool and yet powerful tool that helps people.
Working in the backend, I would say the most important ROI has been data security through implementation of enterprise-grade technical and physical controls which prevent unauthorized access to our content.